Data.table: フレッドのスタックの不均衡

@HughParsonage 、これは＃2457に似ています。 おそらく、 showProgress=FALSEを渡してみて、完了するかどうかを確認してください。
@mattdowle 2017-11-09以降、リグレッションが

showProgress=FALSE実行すると、実際に結果が返されました（予期された警告のみが表示されます）。

すべての詳細情報をありがとう。 2017年11月9日以降、リグレッションが発生しているとは思えませんが、長いverbose=TRUE出力がETA出力と同様の影響を及ぼしている可能性があります。 ファイルを再読み取りする必要があります。これは、より多くの出力が生成されることを意味します。 私はshowProgressは彼のためにTRUE作品を=という@HughParsonageのレポートが偽であることを恐れ、問題は、それが冗長で5-10回実行された場合= TRUEが起こるのだろうということ。

並列セクション内から出力される詳細メッセージはありません（既に修正されている進行状況ETAを除く）。ただし、最初の読み取りの後、2回目の再読み取りが開始される前に詳細メッセージがあります（これはこのファイルで発生します）。 これらの印刷によって100番目のCheckUserInterruptがトリガーされた場合（＃2457を参照）、2番目の並列領域が失敗する可能性があると思います（奇妙なことですが）。 とにかくそれを除外するために、RprintfではなくREprintfを使用するようにすべての詳細メッセージを変更しました（ETAの＃2457と同じ修正）。 テストがstderrの出力を見つけられないため、これは失敗しました-修正されます。 合格すると、Windows .zipが自動的に作成されますので、もう一度お試しください。 準備ができたらここで更新します。

わかりました。2回目の試行はチェックに合格し、 Windows.zipが利用可能です。 @HughParsonageもう一度やり直していただけませんか。 メッセージを詳細モードで再読み取りする直前に、R_FlushConsole（）への呼び出しを追加しました。 そのフラッシュは、Windowsでのみ必要です。 フラッシュがないと、並列再読み取りが行われているときにコンソールが少し遅れて更新されることがあり、それが問題を引き起こすことがわかっていると推測しています。 常にverbose=TRUEとshowProgress=TRUE両方で、10回繰り返してください。 10回のクリアランが表示された場合は、それでした。 そうでなければ、私はもう一度考えなければならないでしょう。

残念ながら、修正されていません：

> library(data.table)
data.table 1.10.5 IN DEVELOPMENT built 2017-11-15 00:36:41 UTC; appveyor
  The fastest way to learn (by data.table authors): https://www.datacamp.com/courses/data-analysis-the-data-table-way
  Documentation: ?data.table, example(data.table) and browseVignettes("data.table")
  Release notes, videos and slides: http://r-datatable.com
> fread("SA2-by-DJZ-2011.csv", header = FALSE, na.strings = "", verbose = FALSE)
Read 26%. ETA 00:00 Warning: stack imbalance in '$', 20 then 22
Read 52%. ETA 00:00 Warning: stack imbalance in '$', 36 then 35
Warning: stack imbalance in '$', 21 then 22
Read 59%. ETA 00:00 Error in fread("SA2-by-DJZ-2011.csv", header = FALSE, na.strings = "",  : 
  unprotect_ptr: pointer not found
In addition: Warning: stack imbalance in '$', 26 then 28
Warning messages:
1: Warning: stack imbalance in '$', 26 then 27
In fread("SA2-by-DJZ-2011.csv", header = FALSE, na.strings = "",  :
  Starting data input on line 12 <<"Goulburn","110018063",3499,>> with 4 fields and discarding line 11 <<"Main Statistical Area Structu>> before it because it has a different number of fields (3).
2: In fread("SA2-by-DJZ-2011.csv", header = FALSE, na.strings = "",  :
  Found the last consistent line but text exists afterwards. Consider fill=TRUE and/or blank.lines.skip=TRUE. First 200 characters of discarded line: <<"Dataset: 2011 Census of Population and Housing">>
Warning: stack imbalance in 'lapply', 31 then 30
Warning: stack imbalance in '$', 14 then 15

10回実行した後でもverbose=TRUE, showProgress=TRUEを使用すると、エラーは発生しません。 10番目の出力の結果は次のとおりです。

Input contains no \n. Taking this to be a filename to open
[01] Check arguments
  Using 12 threads (omp_get_max_threads()=12, nth=12)
  NAstrings = [<<>>]
  None of the NAstrings look like numbers.
  show progress = 1
  0/1 column will be read as boolean
[02] Opening the file
  Opening file SA2-by-DJZ-2011.csv
  File opened, size = 349.4MB (366418725 bytes).
  Memory mapping ... ok
[03] Detect and skip BOM
[04] Arrange mmap to be \0 terminated
  \r-only line endings are not allowed because \n is found in the data
[05] Skipping initial rows if needed
  Positioned on line 1 starting: <<Australian Bureau of Statistic>>
[06] Detect separator, quoting rule, and ncolumns
  Detecting sep ...
  sep=','  with 89 lines of 4 fields using quote rule 0
  Detected 4 columns on line 12. This line is either column names or first data row. Line starts as: <<"Goulburn","110018063",3499,>>
  Quote rule picked = 0
  fill=false and the most number of columns found is 4
[07] Detect column types, good nrow estimate and whether first row is column names
  'header' changed by user from 'auto' to false
  Number of sampling jump points = 101 because (366418375 bytes from row 1 to eof) / (2 * 1457 jump0size) == 125744
  Type codes (jump 000)    : 1551  Quote rule 0
  Type codes (jump 100)    : 11051  Quote rule 0
  =====
  Sampled 10027 rows (handled \n inside quoted fields) at 101 jump points
  Bytes from first data row on line 12 to the end of last row: 366418143
  Line length: mean=16.02 sd=0.21 min=16 max=29
  Estimated number of rows: 366418143 / 16.02 = 22877178
  Initial alloc = 25164895 rows (22877178 + 9%) using bytes/max(mean-2*sd,min) clamped between [1.1*estn, 2.0*estn]
  =====
[08] Assign column names
[09] Apply user overrides on column types
  After 0 type and 0 drop user overrides : 11051
[10] Allocate memory for the datatable
  Allocating 4 column slots (4 - 0 dropped) with 25164895 rows
[11] Read the data
  jumps=[0..360), chunk_size=1017828, total_size=366418143
[12] Finalizing the datatable
Read 22885380 rows x 4 columns from 349.4MB (366418725 bytes) file in 00:02.094 wall clock time
Thread buffers were grown 0 times (if all 1 threads each grew once, this figure would be 1)
Final type counts
         0 : drop     
         1 : bool8    
         0 : bool8    
         0 : bool8    
         0 : bool8    
         1 : int32    
         0 : int64    
         0 : float64  
         0 : float64  
         0 : float64  
         2 : string   
Rereading 1 columns due to out-of-sample type exceptions.
Column 1 ("") bumped from 'bool8' to 'string' due to <<"Goulburn">> on row 0
[11] Read the data
  jumps=[0..360), chunk_size=1017828, total_size=366418143
Read 99%. ETA 00:00 
[12] Finalizing the datatable
Reread 22885380 rows x 1 columns in 00:01.752
Read 22885380 rows. Exactly what was estimated and allocated up front
=============================
   0.004s (  0%) Memory map 0.341GB file
   0.008s (  0%) sep=',' ncol=4 and header detection
   0.001s (  0%) Column type detection using 10027 sample rows
   0.173s (  4%) Allocation of 22885380 rows x 4 cols (0.469GB)
   3.660s ( 95%) Reading 360 chunks of 0.971MB (63547 rows) using 1 threads
   =    0.009s (  0%) Finding first non-embedded \n after each jump
   +    1.946s ( 51%) Parse to row-major thread buffers
   +    1.098s ( 29%) Transpose
   +    0.608s ( 16%) Waiting
   1.752s ( 46%) Rereading 1 columns due to out-of-sample type exceptions
   3.846s        Total
Input contains no \n. Taking this to be a filename to open
[01] Check arguments
  Using 12 threads (omp_get_max_threads()=12, nth=12)
  NAstrings = [<<>>]
  None of the NAstrings look like numbers.
  show progress = 1
  0/1 column will be read as boolean
[02] Opening the file
  Opening file SA2-by-DJZ-2011.csv
  File opened, size = 349.4MB (366418725 bytes).
  Memory mapping ... ok
[03] Detect and skip BOM
[04] Arrange mmap to be \0 terminated
  \r-only line endings are not allowed because \n is found in the data
[05] Skipping initial rows if needed
  Positioned on line 1 starting: <<Australian Bureau of Statistic>>
[06] Detect separator, quoting rule, and ncolumns
  Detecting sep ...
  sep=','  with 89 lines of 4 fields using quote rule 0
  Detected 4 columns on line 12. This line is either column names or first data row. Line starts as: <<"Goulburn","110018063",3499,>>
  Quote rule picked = 0
  fill=false and the most number of columns found is 4
[07] Detect column types, good nrow estimate and whether first row is column names
  'header' changed by user from 'auto' to false
  Number of sampling jump points = 101 because (366418375 bytes from row 1 to eof) / (2 * 1457 jump0size) == 125744
  Type codes (jump 000)    : 1551  Quote rule 0
  Type codes (jump 100)    : 11051  Quote rule 0
  =====
  Sampled 10027 rows (handled \n inside quoted fields) at 101 jump points
  Bytes from first data row on line 12 to the end of last row: 366418143
  Line length: mean=16.02 sd=0.21 min=16 max=29
  Estimated number of rows: 366418143 / 16.02 = 22877178
  Initial alloc = 25164895 rows (22877178 + 9%) using bytes/max(mean-2*sd,min) clamped between [1.1*estn, 2.0*estn]
  =====
[08] Assign column names
[09] Apply user overrides on column types
  After 0 type and 0 drop user overrides : 11051
[10] Allocate memory for the datatable
  Allocating 4 column slots (4 - 0 dropped) with 25164895 rows
[11] Read the data
  jumps=[0..360), chunk_size=1017828, total_size=366418143
[12] Finalizing the datatable
Read 22885380 rows x 4 columns from 349.4MB (366418725 bytes) file in 00:02.589 wall clock time
Thread buffers were grown 0 times (if all 1 threads each grew once, this figure would be 1)
Final type counts
         0 : drop     
         1 : bool8    
         0 : bool8    
         0 : bool8    
         0 : bool8    
         1 : int32    
         0 : int64    
         0 : float64  
         0 : float64  
         0 : float64  
         2 : string   
Rereading 1 columns due to out-of-sample type exceptions.
Column 1 ("") bumped from 'bool8' to 'string' due to <<"Goulburn">> on row 0
[11] Read the data
  jumps=[0..360), chunk_size=1017828, total_size=366418143
Read 99%. ETA 00:00 
[12] Finalizing the datatable
Reread 22885380 rows x 1 columns in 00:01.418
Read 22885380 rows. Exactly what was estimated and allocated up front
=============================
   0.001s (  0%) Memory map 0.341GB file
   0.003s (  0%) sep=',' ncol=4 and header detection
   0.001s (  0%) Column type detection using 10027 sample rows
   0.574s ( 14%) Allocation of 22885380 rows x 4 cols (0.469GB)
   3.428s ( 86%) Reading 360 chunks of 0.971MB (63547 rows) using 1 threads
   =    0.010s (  0%) Finding first non-embedded \n after each jump
   +    1.988s ( 50%) Parse to row-major thread buffers
   +    1.137s ( 28%) Transpose
   +    0.292s (  7%) Waiting
   1.418s ( 35%) Rereading 1 columns due to out-of-sample type exceptions
   4.007s        Total
There were 20 warnings (use warnings() to see them)

@HughParsonageありがとう！ 私は混乱しています。 あなたはそれが私たちが望んでいたものであるverbose=TRUE, showProgress=TRUEでうまくいくと言っています-イェーイ！ それは前に失敗しましたね？ とにかくshowProgressのデフォルトはTRUEですが、 verboseのデフォルトのFALSEで実行すると、それは機能せず、スタックの不均衡が見られますか？ _less_出力が失敗するのは奇妙なことです。 確認してください。 もしそうなら、多分私は間違った木を吠えています。 ここではLinuxで問題なく動作するので、Windowsでのテストに依存しています。 ありがとう。
（また、10回目の実行出力の下部に、20個の警告があったと表示されます。これらは上に表示された2個の警告であり、10回繰り返されたと思います。そうであれば、意味があります。）

こんにちは、混乱してすみません、マット。

元の問題でクラッシュが発生しなくなったことは間違いありません。つまり、次のように機能します。

fread("SA2-by-DJZ-2011.csv", header = FALSE, na.strings = "")

明確にするために、オリジナルでは、 verbose =FALSE （デフォルト）のときにクラッシュしました。 問題を提出する前にverbose = TRUEで実行し、「スタックの不均衡」の警告に気づきましたが、クラッシュは発生しませんでした。 最新バージョンでは、 verbose = FALSEクラッシュ（または実際に問題）は発生しません。

「未修正」と言ったのは、警告メッセージに気づいたからです。

Warning messages:
Warning: stack imbalance in '$', 26 then 27
Warning: stack imbalance in 'lapply', 31 then 30
Warning: stack imbalance in '$', 14 then 15

これは奇妙に見え、同じ問題ではありませんが、密接に関連していることを示しているのではないかと思いました。 そうは言っても、今朝オーストラリアでは警告メッセージを再現できなくなりました。

なるほど、分かりました。 スタックの不均衡に関するこれらの警告メッセージは、本質的にエラーです。 それらをスキップすることはできません。 実際にはまだクラッシュしていませんが、スタックの不均衡に関する警告をクラッシュと呼んでいます。 （その警告を見た後にクラッシュするのは時間の問題です。）

verbose=TRUE, showProgress=TRUEを使用して新しいRセッションで10回実行すると、スタックの不均衡に関する20個の警告のいずれか、または次の通常の警告の20個すべてになります。

1: In fread("SA2-by-DJZ-2011.csv", header = FALSE, na.strings = "",  :
  Starting data input on line 12 <<"Goulburn","110018063",3499,>> with 4 fields and discarding line 11 <<"Main Statistical Area Structu>> before it because it has a different number of fields (3).
2: In fread("SA2-by-DJZ-2011.csv", header = FALSE, na.strings = "",  :
  Found the last consistent line but text exists afterwards. Consider fill=TRUE and/or blank.lines.skip=TRUE. First 200 characters of discarded line: <<"Dataset: 2011 Census of Population and Housing">>

スタックの不均衡の警告が発生したら、新しい新しいRセッションを開始してください。 それが一度でも起こった後、私たちはRから何も信用できません。

verbose=TRUE, showProgress=TRUE実行すると、なんとかクラッシュしました。 SEXP const charについての何か。 これをコマンドラインから再現しようとしています（残念ながら、RStudioで発生し、メッセージ全体を読み取る前にRStudioが閉じられました）。

クラッシュを再現できません。 再起動後の結果は次のとおりです。 スタックの不均衡の警告がありました：

> library(data.table)
data.table 1.10.5 IN DEVELOPMENT built 2017-11-15 00:36:41 UTC; appveyor
  The fastest way to learn (by data.table authors): https://www.datacamp.com/courses/data-analysis-the-data-table-way
  Documentation: ?data.table, example(data.table) and browseVignettes("data.table")
  Release notes, videos and slides: http://r-datatable.com
> for (i in 1:10) fread("SA2-by-DJZ-2011.csv", header = FALSE, na.strings = "", verbose = TRUE, showProgress = TRUE)
Input contains no \n. Taking this to be a filename to open
[01] Check arguments
  Using 12 threads (omp_get_max_threads()=12, nth=12)
  NAstrings = [<<>>]
  None of the NAstrings look like numbers.
  show progress = 1
  0/1 column will be read as boolean
[02] Opening the file
  Opening file SA2-by-DJZ-2011.csv
  File opened, size = 349.4MB (366418725 bytes).
  Memory mapping ... ok
[03] Detect and skip BOM
[04] Arrange mmap to be \0 terminated
  \r-only line endings are not allowed because \n is found in the data
[05] Skipping initial rows if needed
  Positioned on line 1 starting: <<Australian Bureau of Statistic>>
[06] Detect separator, quoting rule, and ncolumns
  Detecting sep ...
  sep=','  with 89 lines of 4 fields using quote rule 0
  Detected 4 columns on line 12. This line is either column names or first data row. Line starts as: <<"Goulburn","110018063",3499,>>
  Quote rule picked = 0
  fill=false and the most number of columns found is 4
[07] Detect column types, good nrow estimate and whether first row is column names
  'header' changed by user from 'auto' to false
  Number of sampling jump points = 101 because (366418375 bytes from row 1 to eof) / (2 * 1457 jump0size) == 125744
  Type codes (jump 000)    : 1551  Quote rule 0
  Type codes (jump 100)    : 11051  Quote rule 0
  =====
  Sampled 10027 rows (handled \n inside quoted fields) at 101 jump points
  Bytes from first data row on line 12 to the end of last row: 366418143
  Line length: mean=16.02 sd=0.21 min=16 max=29
  Estimated number of rows: 366418143 / 16.02 = 22877178
  Initial alloc = 25164895 rows (22877178 + 9%) using bytes/max(mean-2*sd,min) clamped between [1.1*estn, 2.0*estn]
  =====
[08] Assign column names
[09] Apply user overrides on column types
  After 0 type and 0 drop user overrides : 11051
[10] Allocate memory for the datatable
  Allocating 4 column slots (4 - 0 dropped) with 25164895 rows
[11] Read the data
  jumps=[0..360), chunk_size=1017828, total_size=366418143
[12] Finalizing the datatable
Read 22885380 rows x 4 columns from 349.4MB (366418725 bytes) file in 00:01.212 wall clock time
Thread buffers were grown 0 times (if all 12 threads each grew once, this figure would be 12)
Final type counts
         0 : drop     
         1 : bool8    
         0 : bool8    
         0 : bool8    
         0 : bool8    
         1 : int32    
         0 : int64    
         0 : float64  
         0 : float64  
         0 : float64  
         2 : string   
Rereading 1 columns due to out-of-sample type exceptions.
Column 1 ("") bumped from 'bool8' to 'string' due to <<"Goulburn">> on row 0
[11] Read the data
  jumps=[0..360), chunk_size=1017828, total_size=366418143
Read 31%. ETA 00:00 Warning: stack imbalance in '$', 24 then 23
Read 91%. ETA 00:00 Warning: stack imbalance in '$', 27 then 26
Read 95%. ETA 00:00 Warning: stack imbalance in '$', 28 then 29
Read 98%. ETA 00:00 
[12] Finalizing the datatable
Reread 22885380 rows x 1 columns in 00:00.895
Read 22885380 rows. Exactly what was estimated and allocated up front
=============================
   0.002s (  0%) Memory map 0.341GB file
   0.029s (  1%) sep=',' ncol=4 and header detection
   0.001s (  0%) Column type detection using 10027 sample rows
   0.314s ( 15%) Allocation of 22885380 rows x 4 cols (0.469GB)
   1.761s ( 84%) Reading 360 chunks of 0.971MB (63547 rows) using 12 threads
   =    0.015s (  1%) Finding first non-embedded \n after each jump
   +    0.599s ( 28%) Parse to row-major thread buffers
   +    0.400s ( 19%) Transpose
   +    0.746s ( 35%) Waiting
   0.895s ( 42%) Rereading 1 columns due to out-of-sample type exceptions
   2.107s        Total
Input contains no \n. Taking this to be a filename to open
[01] Check arguments
  Using 12 threads (omp_get_max_threads()=12, nth=12)
  NAstrings = [<<>>]
  None of the NAstrings look like numbers.
  show progress = 1
  0/1 column will be read as boolean
[02] Opening the file
  Opening file SA2-by-DJZ-2011.csv
  File opened, size = 349.4MB (366418725 bytes).
  Memory mapping ... ok
[03] Detect and skip BOM
[04] Arrange mmap to be \0 terminated
  \r-only line endings are not allowed because \n is found in the data
[05] Skipping initial rows if needed
  Positioned on line 1 starting: <<Australian Bureau of Statistic>>
[06] Detect separator, quoting rule, and ncolumns
  Detecting sep ...
  sep=','  with 89 lines of 4 fields using quote rule 0
  Detected 4 columns on line 12. This line is either column names or first data row. Line starts as: <<"Goulburn","110018063",3499,>>
  Quote rule picked = 0
  fill=false and the most number of columns found is 4
[07] Detect column types, good nrow estimate and whether first row is column names
  'header' changed by user from 'auto' to false
  Number of sampling jump points = 101 because (366418375 bytes from row 1 to eof) / (2 * 1457 jump0size) == 125744
  Type codes (jump 000)    : 1551  Quote rule 0
  Type codes (jump 100)    : 11051  Quote rule 0
  =====
  Sampled 10027 rows (handled \n inside quoted fields) at 101 jump points
  Bytes from first data row on line 12 to the end of last row: 366418143
  Line length: mean=16.02 sd=0.21 min=16 max=29
  Estimated number of rows: 366418143 / 16.02 = 22877178
  Initial alloc = 25164895 rows (22877178 + 9%) using bytes/max(mean-2*sd,min) clamped between [1.1*estn, 2.0*estn]
  =====
[08] Assign column names
[09] Apply user overrides on column types
  After 0 type and 0 drop user overrides : 11051
[10] Allocate memory for the datatable
  Allocating 4 column slots (4 - 0 dropped) with 25164895 rows
[11] Read the data
  jumps=[0..360), chunk_size=1017828, total_size=366418143
[12] Finalizing the datatable
Read 22885380 rows x 4 columns from 349.4MB (366418725 bytes) file in 00:01.335 wall clock time
Thread buffers were grown 0 times (if all 12 threads each grew once, this figure would be 12)
Final type counts
         0 : drop     
         1 : bool8    
         0 : bool8    
         0 : bool8    
         0 : bool8    
         1 : int32    
         0 : int64    
         0 : float64  
         0 : float64  
         0 : float64  
         2 : string   
Rereading 1 columns due to out-of-sample type exceptions.
Column 1 ("") bumped from 'bool8' to 'string' due to <<"Goulburn">> on row 0
[11] Read the data
  jumps=[0..360), chunk_size=1017828, total_size=366418143
Read 98%. ETA 00:00 
[12] Finalizing the datatable
Reread 22885380 rows x 1 columns in 00:01.049
Read 22885380 rows. Exactly what was estimated and allocated up front
=============================
   0.002s (  0%) Memory map 0.341GB file
   0.006s (  0%) sep=',' ncol=4 and header detection
   0.001s (  0%) Column type detection using 10027 sample rows
   0.402s ( 17%) Allocation of 22885380 rows x 4 cols (0.469GB)
   1.974s ( 83%) Reading 360 chunks of 0.971MB (63547 rows) using 12 threads
   =    0.001s (  0%) Finding first non-embedded \n after each jump
   +    0.209s (  9%) Parse to row-major thread buffers
   +    0.864s ( 36%) Transpose
   +    0.900s ( 38%) Waiting
   1.049s ( 44%) Rereading 1 columns due to out-of-sample type exceptions
   2.385s        Total
Input contains no \n. Taking this to be a filename to open
[01] Check arguments
  Using 12 threads (omp_get_max_threads()=12, nth=12)
  NAstrings = [<<>>]
  None of the NAstrings look like numbers.
  show progress = 1
  0/1 column will be read as boolean
[02] Opening the file
  Opening file SA2-by-DJZ-2011.csv
  File opened, size = 349.4MB (366418725 bytes).
  Memory mapping ... ok
[03] Detect and skip BOM
[04] Arrange mmap to be \0 terminated
  \r-only line endings are not allowed because \n is found in the data
[05] Skipping initial rows if needed
  Positioned on line 1 starting: <<Australian Bureau of Statistic>>
[06] Detect separator, quoting rule, and ncolumns
  Detecting sep ...
  sep=','  with 89 lines of 4 fields using quote rule 0
  Detected 4 columns on line 12. This line is either column names or first data row. Line starts as: <<"Goulburn","110018063",3499,>>
  Quote rule picked = 0
  fill=false and the most number of columns found is 4
[07] Detect column types, good nrow estimate and whether first row is column names
  'header' changed by user from 'auto' to false
  Number of sampling jump points = 101 because (366418375 bytes from row 1 to eof) / (2 * 1457 jump0size) == 125744
  Type codes (jump 000)    : 1551  Quote rule 0
  Type codes (jump 100)    : 11051  Quote rule 0
  =====
  Sampled 10027 rows (handled \n inside quoted fields) at 101 jump points
  Bytes from first data row on line 12 to the end of last row: 366418143
  Line length: mean=16.02 sd=0.21 min=16 max=29
  Estimated number of rows: 366418143 / 16.02 = 22877178
  Initial alloc = 25164895 rows (22877178 + 9%) using bytes/max(mean-2*sd,min) clamped between [1.1*estn, 2.0*estn]
  =====
[08] Assign column names
[09] Apply user overrides on column types
  After 0 type and 0 drop user overrides : 11051
[10] Allocate memory for the datatable
  Allocating 4 column slots (4 - 0 dropped) with 25164895 rows
[11] Read the data
  jumps=[0..360), chunk_size=1017828, total_size=366418143
[12] Finalizing the datatable
Read 22885380 rows x 4 columns from 349.4MB (366418725 bytes) file in 00:01.212 wall clock time
Thread buffers were grown 0 times (if all 12 threads each grew once, this figure would be 12)
Final type counts
         0 : drop     
         1 : bool8    
         0 : bool8    
         0 : bool8    
         0 : bool8    
         1 : int32    
         0 : int64    
         0 : float64  
         0 : float64  
         0 : float64  
         2 : string   
Rereading 1 columns due to out-of-sample type exceptions.
Column 1 ("") bumped from 'bool8' to 'string' due to <<"Goulburn">> on row 0
[11] Read the data
  jumps=[0..360), chunk_size=1017828, total_size=366418143
Read 96%. ETA 00:00 
[12] Finalizing the datatable
Reread 22885380 rows x 1 columns in 00:00.414
Read 22885380 rows. Exactly what was estimated and allocated up front
=============================
   0.002s (  0%) Memory map 0.341GB file
   0.007s (  0%) sep=',' ncol=4 and header detection
   0.002s (  0%) Column type detection using 10027 sample rows
   0.293s ( 18%) Allocation of 22885380 rows x 4 cols (0.469GB)
   1.322s ( 81%) Reading 360 chunks of 0.971MB (63547 rows) using 12 threads
   =    0.001s (  0%) Finding first non-embedded \n after each jump
   +    0.199s ( 12%) Parse to row-major thread buffers
   +    0.822s ( 51%) Transpose
   +    0.301s ( 19%) Waiting
   0.414s ( 25%) Rereading 1 columns due to out-of-sample type exceptions
   1.626s        Total
Input contains no \n. Taking this to be a filename to open
[01] Check arguments
  Using 12 threads (omp_get_max_threads()=12, nth=12)
  NAstrings = [<<>>]
  None of the NAstrings look like numbers.
  show progress = 1
  0/1 column will be read as boolean
[02] Opening the file
  Opening file SA2-by-DJZ-2011.csv
  File opened, size = 349.4MB (366418725 bytes).
  Memory mapping ... ok
[03] Detect and skip BOM
[04] Arrange mmap to be \0 terminated
  \r-only line endings are not allowed because \n is found in the data
[05] Skipping initial rows if needed
  Positioned on line 1 starting: <<Australian Bureau of Statistic>>
[06] Detect separator, quoting rule, and ncolumns
  Detecting sep ...
  sep=','  with 89 lines of 4 fields using quote rule 0
  Detected 4 columns on line 12. This line is either column names or first data row. Line starts as: <<"Goulburn","110018063",3499,>>
  Quote rule picked = 0
  fill=false and the most number of columns found is 4
[07] Detect column types, good nrow estimate and whether first row is column names
  'header' changed by user from 'auto' to false
  Number of sampling jump points = 101 because (366418375 bytes from row 1 to eof) / (2 * 1457 jump0size) == 125744
  Type codes (jump 000)    : 1551  Quote rule 0
  Type codes (jump 100)    : 11051  Quote rule 0
  =====
  Sampled 10027 rows (handled \n inside quoted fields) at 101 jump points
  Bytes from first data row on line 12 to the end of last row: 366418143
  Line length: mean=16.02 sd=0.21 min=16 max=29
  Estimated number of rows: 366418143 / 16.02 = 22877178
  Initial alloc = 25164895 rows (22877178 + 9%) using bytes/max(mean-2*sd,min) clamped between [1.1*estn, 2.0*estn]
  =====
[08] Assign column names
[09] Apply user overrides on column types
  After 0 type and 0 drop user overrides : 11051
[10] Allocate memory for the datatable
  Allocating 4 column slots (4 - 0 dropped) with 25164895 rows
[11] Read the data
  jumps=[0..360), chunk_size=1017828, total_size=366418143
[12] Finalizing the datatable
Read 22885380 rows x 4 columns from 349.4MB (366418725 bytes) file in 00:01.451 wall clock time
Thread buffers were grown 0 times (if all 12 threads each grew once, this figure would be 12)
Final type counts
         0 : drop     
         1 : bool8    
         0 : bool8    
         0 : bool8    
         0 : bool8    
         1 : int32    
         0 : int64    
         0 : float64  
         0 : float64  
         0 : float64  
         2 : string   
Rereading 1 columns due to out-of-sample type exceptions.
Column 1 ("") bumped from 'bool8' to 'string' due to <<"Goulburn">> on row 0
[11] Read the data
  jumps=[0..360), chunk_size=1017828, total_size=366418143
Read 97%. ETA 00:00 
[12] Finalizing the datatable
Reread 22885380 rows x 1 columns in 00:00.409
Read 22885380 rows. Exactly what was estimated and allocated up front
=============================
   0.002s (  0%) Memory map 0.341GB file
   0.006s (  0%) sep=',' ncol=4 and header detection
   0.001s (  0%) Column type detection using 10027 sample rows
   0.403s ( 22%) Allocation of 22885380 rows x 4 cols (0.469GB)
   1.448s ( 78%) Reading 360 chunks of 0.971MB (63547 rows) using 12 threads
   =    0.001s (  0%) Finding first non-embedded \n after each jump
   +    0.194s ( 10%) Parse to row-major thread buffers
   +    0.974s ( 52%) Transpose
   +    0.279s ( 15%) Waiting
   0.409s ( 22%) Rereading 1 columns due to out-of-sample type exceptions
   1.860s        Total
Input contains no \n. Taking this to be a filename to open
[01] Check arguments
  Using 12 threads (omp_get_max_threads()=12, nth=12)
  NAstrings = [<<>>]
  None of the NAstrings look like numbers.
  show progress = 1
  0/1 column will be read as boolean
[02] Opening the file
  Opening file SA2-by-DJZ-2011.csv
  File opened, size = 349.4MB (366418725 bytes).
  Memory mapping ... ok
[03] Detect and skip BOM
[04] Arrange mmap to be \0 terminated
  \r-only line endings are not allowed because \n is found in the data
[05] Skipping initial rows if needed
  Positioned on line 1 starting: <<Australian Bureau of Statistic>>
[06] Detect separator, quoting rule, and ncolumns
  Detecting sep ...
  sep=','  with 89 lines of 4 fields using quote rule 0
  Detected 4 columns on line 12. This line is either column names or first data row. Line starts as: <<"Goulburn","110018063",3499,>>
  Quote rule picked = 0
  fill=false and the most number of columns found is 4
[07] Detect column types, good nrow estimate and whether first row is column names
  'header' changed by user from 'auto' to false
  Number of sampling jump points = 101 because (366418375 bytes from row 1 to eof) / (2 * 1457 jump0size) == 125744
  Type codes (jump 000)    : 1551  Quote rule 0
  Type codes (jump 100)    : 11051  Quote rule 0
  =====
  Sampled 10027 rows (handled \n inside quoted fields) at 101 jump points
  Bytes from first data row on line 12 to the end of last row: 366418143
  Line length: mean=16.02 sd=0.21 min=16 max=29
  Estimated number of rows: 366418143 / 16.02 = 22877178
  Initial alloc = 25164895 rows (22877178 + 9%) using bytes/max(mean-2*sd,min) clamped between [1.1*estn, 2.0*estn]
  =====
[08] Assign column names
[09] Apply user overrides on column types
  After 0 type and 0 drop user overrides : 11051
[10] Allocate memory for the datatable
  Allocating 4 column slots (4 - 0 dropped) with 25164895 rows
[11] Read the data
  jumps=[0..360), chunk_size=1017828, total_size=366418143
[12] Finalizing the datatable
Read 22885380 rows x 4 columns from 349.4MB (366418725 bytes) file in 00:01.480 wall clock time
Thread buffers were grown 0 times (if all 12 threads each grew once, this figure would be 12)
Final type counts
         0 : drop     
         1 : bool8    
         0 : bool8    
         0 : bool8    
         0 : bool8    
         1 : int32    
         0 : int64    
         0 : float64  
         0 : float64  
         0 : float64  
         2 : string   
Rereading 1 columns due to out-of-sample type exceptions.
Column 1 ("") bumped from 'bool8' to 'string' due to <<"Goulburn">> on row 0
[11] Read the data
  jumps=[0..360), chunk_size=1017828, total_size=366418143
Read 99%. ETA 00:00 
[12] Finalizing the datatable
Reread 22885380 rows x 1 columns in 00:00.412
Read 22885380 rows. Exactly what was estimated and allocated up front
=============================
   0.002s (  0%) Memory map 0.341GB file
   0.007s (  0%) sep=',' ncol=4 and header detection
   0.001s (  0%) Column type detection using 10027 sample rows
   0.459s ( 24%) Allocation of 22885380 rows x 4 cols (0.469GB)
   1.424s ( 75%) Reading 360 chunks of 0.971MB (63547 rows) using 12 threads
   =    0.001s (  0%) Finding first non-embedded \n after each jump
   +    0.197s ( 10%) Parse to row-major thread buffers
   +    0.938s ( 50%) Transpose
   +    0.288s ( 15%) Waiting
   0.412s ( 22%) Rereading 1 columns due to out-of-sample type exceptions
   1.892s        Total
Input contains no \n. Taking this to be a filename to open
[01] Check arguments
  Using 12 threads (omp_get_max_threads()=12, nth=12)
  NAstrings = [<<>>]
  None of the NAstrings look like numbers.
  show progress = 1
  0/1 column will be read as boolean
[02] Opening the file
  Opening file SA2-by-DJZ-2011.csv
  File opened, size = 349.4MB (366418725 bytes).
  Memory mapping ... ok
[03] Detect and skip BOM
[04] Arrange mmap to be \0 terminated
  \r-only line endings are not allowed because \n is found in the data
[05] Skipping initial rows if needed
  Positioned on line 1 starting: <<Australian Bureau of Statistic>>
[06] Detect separator, quoting rule, and ncolumns
  Detecting sep ...
  sep=','  with 89 lines of 4 fields using quote rule 0
  Detected 4 columns on line 12. This line is either column names or first data row. Line starts as: <<"Goulburn","110018063",3499,>>
  Quote rule picked = 0
  fill=false and the most number of columns found is 4
[07] Detect column types, good nrow estimate and whether first row is column names
  'header' changed by user from 'auto' to false
  Number of sampling jump points = 101 because (366418375 bytes from row 1 to eof) / (2 * 1457 jump0size) == 125744
  Type codes (jump 000)    : 1551  Quote rule 0
  Type codes (jump 100)    : 11051  Quote rule 0
  =====
  Sampled 10027 rows (handled \n inside quoted fields) at 101 jump points
  Bytes from first data row on line 12 to the end of last row: 366418143
  Line length: mean=16.02 sd=0.21 min=16 max=29
  Estimated number of rows: 366418143 / 16.02 = 22877178
  Initial alloc = 25164895 rows (22877178 + 9%) using bytes/max(mean-2*sd,min) clamped between [1.1*estn, 2.0*estn]
  =====
[08] Assign column names
[09] Apply user overrides on column types
  After 0 type and 0 drop user overrides : 11051
[10] Allocate memory for the datatable
  Allocating 4 column slots (4 - 0 dropped) with 25164895 rows
[11] Read the data
  jumps=[0..360), chunk_size=1017828, total_size=366418143
[12] Finalizing the datatable
Read 22885380 rows x 4 columns from 349.4MB (366418725 bytes) file in 00:01.381 wall clock time
Thread buffers were grown 0 times (if all 12 threads each grew once, this figure would be 12)
Final type counts
         0 : drop     
         1 : bool8    
         0 : bool8    
         0 : bool8    
         0 : bool8    
         1 : int32    
         0 : int64    
         0 : float64  
         0 : float64  
         0 : float64  
         2 : string   
Rereading 1 columns due to out-of-sample type exceptions.
Column 1 ("") bumped from 'bool8' to 'string' due to <<"Goulburn">> on row 0
[11] Read the data
  jumps=[0..360), chunk_size=1017828, total_size=366418143
Read 97%. ETA 00:00 
[12] Finalizing the datatable
Reread 22885380 rows x 1 columns in 00:00.401
Read 22885380 rows. Exactly what was estimated and allocated up front
=============================
   0.002s (  0%) Memory map 0.341GB file
   0.005s (  0%) sep=',' ncol=4 and header detection
   0.001s (  0%) Column type detection using 10027 sample rows
   0.384s ( 22%) Allocation of 22885380 rows x 4 cols (0.469GB)
   1.389s ( 78%) Reading 360 chunks of 0.971MB (63547 rows) using 12 threads
   =    0.001s (  0%) Finding first non-embedded \n after each jump
   +    0.196s ( 11%) Parse to row-major thread buffers
   +    0.911s ( 51%) Transpose
   +    0.281s ( 16%) Waiting
   0.401s ( 22%) Rereading 1 columns due to out-of-sample type exceptions
   1.781s        Total
Input contains no \n. Taking this to be a filename to open
[01] Check arguments
  Using 12 threads (omp_get_max_threads()=12, nth=12)
  NAstrings = [<<>>]
  None of the NAstrings look like numbers.
  show progress = 1
  0/1 column will be read as boolean
[02] Opening the file
  Opening file SA2-by-DJZ-2011.csv
  File opened, size = 349.4MB (366418725 bytes).
  Memory mapping ... ok
[03] Detect and skip BOM
[04] Arrange mmap to be \0 terminated
  \r-only line endings are not allowed because \n is found in the data
[05] Skipping initial rows if needed
  Positioned on line 1 starting: <<Australian Bureau of Statistic>>
[06] Detect separator, quoting rule, and ncolumns
  Detecting sep ...
  sep=','  with 89 lines of 4 fields using quote rule 0
  Detected 4 columns on line 12. This line is either column names or first data row. Line starts as: <<"Goulburn","110018063",3499,>>
  Quote rule picked = 0
  fill=false and the most number of columns found is 4
[07] Detect column types, good nrow estimate and whether first row is column names
  'header' changed by user from 'auto' to false
  Number of sampling jump points = 101 because (366418375 bytes from row 1 to eof) / (2 * 1457 jump0size) == 125744
  Type codes (jump 000)    : 1551  Quote rule 0
  Type codes (jump 100)    : 11051  Quote rule 0
  =====
  Sampled 10027 rows (handled \n inside quoted fields) at 101 jump points
  Bytes from first data row on line 12 to the end of last row: 366418143
  Line length: mean=16.02 sd=0.21 min=16 max=29
  Estimated number of rows: 366418143 / 16.02 = 22877178
  Initial alloc = 25164895 rows (22877178 + 9%) using bytes/max(mean-2*sd,min) clamped between [1.1*estn, 2.0*estn]
  =====
[08] Assign column names
[09] Apply user overrides on column types
  After 0 type and 0 drop user overrides : 11051
[10] Allocate memory for the datatable
  Allocating 4 column slots (4 - 0 dropped) with 25164895 rows
[11] Read the data
  jumps=[0..360), chunk_size=1017828, total_size=366418143
[12] Finalizing the datatable
Read 22885380 rows x 4 columns from 349.4MB (366418725 bytes) file in 00:01.384 wall clock time
Thread buffers were grown 0 times (if all 12 threads each grew once, this figure would be 12)
Final type counts
         0 : drop     
         1 : bool8    
         0 : bool8    
         0 : bool8    
         0 : bool8    
         1 : int32    
         0 : int64    
         0 : float64  
         0 : float64  
         0 : float64  
         2 : string   
Rereading 1 columns due to out-of-sample type exceptions.
Column 1 ("") bumped from 'bool8' to 'string' due to <<"Goulburn">> on row 0
[11] Read the data
  jumps=[0..360), chunk_size=1017828, total_size=366418143
Read 98%. ETA 00:00 
[12] Finalizing the datatable
Reread 22885380 rows x 1 columns in 00:00.480
Read 22885380 rows. Exactly what was estimated and allocated up front
=============================
   0.002s (  0%) Memory map 0.341GB file
   0.006s (  0%) sep=',' ncol=4 and header detection
   0.002s (  0%) Column type detection using 10027 sample rows
   0.476s ( 26%) Allocation of 22885380 rows x 4 cols (0.469GB)
   1.378s ( 74%) Reading 360 chunks of 0.971MB (63547 rows) using 12 threads
   =    0.001s (  0%) Finding first non-embedded \n after each jump
   +    0.192s ( 10%) Parse to row-major thread buffers
   +    0.833s ( 45%) Transpose
   +    0.352s ( 19%) Waiting
   0.480s ( 26%) Rereading 1 columns due to out-of-sample type exceptions
   1.864s        Total
Input contains no \n. Taking this to be a filename to open
[01] Check arguments
  Using 12 threads (omp_get_max_threads()=12, nth=12)
  NAstrings = [<<>>]
  None of the NAstrings look like numbers.
  show progress = 1
  0/1 column will be read as boolean
[02] Opening the file
  Opening file SA2-by-DJZ-2011.csv
  File opened, size = 349.4MB (366418725 bytes).
  Memory mapping ... ok
[03] Detect and skip BOM
[04] Arrange mmap to be \0 terminated
  \r-only line endings are not allowed because \n is found in the data
[05] Skipping initial rows if needed
  Positioned on line 1 starting: <<Australian Bureau of Statistic>>
[06] Detect separator, quoting rule, and ncolumns
  Detecting sep ...
  sep=','  with 89 lines of 4 fields using quote rule 0
  Detected 4 columns on line 12. This line is either column names or first data row. Line starts as: <<"Goulburn","110018063",3499,>>
  Quote rule picked = 0
  fill=false and the most number of columns found is 4
[07] Detect column types, good nrow estimate and whether first row is column names
  'header' changed by user from 'auto' to false
  Number of sampling jump points = 101 because (366418375 bytes from row 1 to eof) / (2 * 1457 jump0size) == 125744
  Type codes (jump 000)    : 1551  Quote rule 0
  Type codes (jump 100)    : 11051  Quote rule 0
  =====
  Sampled 10027 rows (handled \n inside quoted fields) at 101 jump points
  Bytes from first data row on line 12 to the end of last row: 366418143
  Line length: mean=16.02 sd=0.21 min=16 max=29
  Estimated number of rows: 366418143 / 16.02 = 22877178
  Initial alloc = 25164895 rows (22877178 + 9%) using bytes/max(mean-2*sd,min) clamped between [1.1*estn, 2.0*estn]
  =====
[08] Assign column names
[09] Apply user overrides on column types
  After 0 type and 0 drop user overrides : 11051
[10] Allocate memory for the datatable
  Allocating 4 column slots (4 - 0 dropped) with 25164895 rows
[11] Read the data
  jumps=[0..360), chunk_size=1017828, total_size=366418143
[12] Finalizing the datatable
Read 22885380 rows x 4 columns from 349.4MB (366418725 bytes) file in 00:01.374 wall clock time
Thread buffers were grown 0 times (if all 12 threads each grew once, this figure would be 12)
Final type counts
         0 : drop     
         1 : bool8    
         0 : bool8    
         0 : bool8    
         0 : bool8    
         1 : int32    
         0 : int64    
         0 : float64  
         0 : float64  
         0 : float64  
         2 : string   
Rereading 1 columns due to out-of-sample type exceptions.
Column 1 ("") bumped from 'bool8' to 'string' due to <<"Goulburn">> on row 0
[11] Read the data
  jumps=[0..360), chunk_size=1017828, total_size=366418143
Read 98%. ETA 00:00 
[12] Finalizing the datatable
Reread 22885380 rows x 1 columns in 00:00.507
Read 22885380 rows. Exactly what was estimated and allocated up front
=============================
   0.002s (  0%) Memory map 0.341GB file
   0.006s (  0%) sep=',' ncol=4 and header detection
   0.001s (  0%) Column type detection using 10027 sample rows
   0.311s ( 17%) Allocation of 22885380 rows x 4 cols (0.469GB)
   1.562s ( 83%) Reading 360 chunks of 0.971MB (63547 rows) using 12 threads
   =    0.001s (  0%) Finding first non-embedded \n after each jump
   +    0.193s ( 10%) Parse to row-major thread buffers
   +    0.988s ( 52%) Transpose
   +    0.381s ( 20%) Waiting
   0.507s ( 27%) Rereading 1 columns due to out-of-sample type exceptions
   1.881s        Total
Input contains no \n. Taking this to be a filename to open
[01] Check arguments
  Using 12 threads (omp_get_max_threads()=12, nth=12)
  NAstrings = [<<>>]
  None of the NAstrings look like numbers.
  show progress = 1
  0/1 column will be read as boolean
[02] Opening the file
  Opening file SA2-by-DJZ-2011.csv
  File opened, size = 349.4MB (366418725 bytes).
  Memory mapping ... ok
[03] Detect and skip BOM
[04] Arrange mmap to be \0 terminated
  \r-only line endings are not allowed because \n is found in the data
[05] Skipping initial rows if needed
  Positioned on line 1 starting: <<Australian Bureau of Statistic>>
[06] Detect separator, quoting rule, and ncolumns
  Detecting sep ...
  sep=','  with 89 lines of 4 fields using quote rule 0
  Detected 4 columns on line 12. This line is either column names or first data row. Line starts as: <<"Goulburn","110018063",3499,>>
  Quote rule picked = 0
  fill=false and the most number of columns found is 4
[07] Detect column types, good nrow estimate and whether first row is column names
  'header' changed by user from 'auto' to false
  Number of sampling jump points = 101 because (366418375 bytes from row 1 to eof) / (2 * 1457 jump0size) == 125744
  Type codes (jump 000)    : 1551  Quote rule 0
  Type codes (jump 100)    : 11051  Quote rule 0
  =====
  Sampled 10027 rows (handled \n inside quoted fields) at 101 jump points
  Bytes from first data row on line 12 to the end of last row: 366418143
  Line length: mean=16.02 sd=0.21 min=16 max=29
  Estimated number of rows: 366418143 / 16.02 = 22877178
  Initial alloc = 25164895 rows (22877178 + 9%) using bytes/max(mean-2*sd,min) clamped between [1.1*estn, 2.0*estn]
  =====
[08] Assign column names
[09] Apply user overrides on column types
  After 0 type and 0 drop user overrides : 11051
[10] Allocate memory for the datatable
  Allocating 4 column slots (4 - 0 dropped) with 25164895 rows
[11] Read the data
  jumps=[0..360), chunk_size=1017828, total_size=366418143
[12] Finalizing the datatable
Read 22885380 rows x 4 columns from 349.4MB (366418725 bytes) file in 00:01.318 wall clock time
Thread buffers were grown 0 times (if all 12 threads each grew once, this figure would be 12)
Final type counts
         0 : drop     
         1 : bool8    
         0 : bool8    
         0 : bool8    
         0 : bool8    
         1 : int32    
         0 : int64    
         0 : float64  
         0 : float64  
         0 : float64  
         2 : string   
Rereading 1 columns due to out-of-sample type exceptions.
Column 1 ("") bumped from 'bool8' to 'string' due to <<"Goulburn">> on row 0
[11] Read the data
  jumps=[0..360), chunk_size=1017828, total_size=366418143
Read 96%. ETA 00:00 
[12] Finalizing the datatable
Reread 22885380 rows x 1 columns in 00:00.493
Read 22885380 rows. Exactly what was estimated and allocated up front
=============================
   0.002s (  0%) Memory map 0.341GB file
   0.006s (  0%) sep=',' ncol=4 and header detection
   0.001s (  0%) Column type detection using 10027 sample rows
   0.306s ( 17%) Allocation of 22885380 rows x 4 cols (0.469GB)
   1.496s ( 83%) Reading 360 chunks of 0.971MB (63547 rows) using 12 threads
   =    0.001s (  0%) Finding first non-embedded \n after each jump
   +    0.193s ( 11%) Parse to row-major thread buffers
   +    0.935s ( 52%) Transpose
   +    0.367s ( 20%) Waiting
   0.493s ( 27%) Rereading 1 columns due to out-of-sample type exceptions
   1.811s        Total
Input contains no \n. Taking this to be a filename to open
[01] Check arguments
  Using 12 threads (omp_get_max_threads()=12, nth=12)
  NAstrings = [<<>>]
  None of the NAstrings look like numbers.
  show progress = 1
  0/1 column will be read as boolean
[02] Opening the file
  Opening file SA2-by-DJZ-2011.csv
  File opened, size = 349.4MB (366418725 bytes).
  Memory mapping ... ok
[03] Detect and skip BOM
[04] Arrange mmap to be \0 terminated
  \r-only line endings are not allowed because \n is found in the data
[05] Skipping initial rows if needed
  Positioned on line 1 starting: <<Australian Bureau of Statistic>>
[06] Detect separator, quoting rule, and ncolumns
  Detecting sep ...
  sep=','  with 89 lines of 4 fields using quote rule 0
  Detected 4 columns on line 12. This line is either column names or first data row. Line starts as: <<"Goulburn","110018063",3499,>>
  Quote rule picked = 0
  fill=false and the most number of columns found is 4
[07] Detect column types, good nrow estimate and whether first row is column names
  'header' changed by user from 'auto' to false
  Number of sampling jump points = 101 because (366418375 bytes from row 1 to eof) / (2 * 1457 jump0size) == 125744
  Type codes (jump 000)    : 1551  Quote rule 0
  Type codes (jump 100)    : 11051  Quote rule 0
  =====
  Sampled 10027 rows (handled \n inside quoted fields) at 101 jump points
  Bytes from first data row on line 12 to the end of last row: 366418143
  Line length: mean=16.02 sd=0.21 min=16 max=29
  Estimated number of rows: 366418143 / 16.02 = 22877178
  Initial alloc = 25164895 rows (22877178 + 9%) using bytes/max(mean-2*sd,min) clamped between [1.1*estn, 2.0*estn]
  =====
[08] Assign column names
[09] Apply user overrides on column types
  After 0 type and 0 drop user overrides : 11051
[10] Allocate memory for the datatable
  Allocating 4 column slots (4 - 0 dropped) with 25164895 rows
[11] Read the data
  jumps=[0..360), chunk_size=1017828, total_size=366418143
[12] Finalizing the datatable
Read 22885380 rows x 4 columns from 349.4MB (366418725 bytes) file in 00:01.141 wall clock time
Thread buffers were grown 0 times (if all 12 threads each grew once, this figure would be 12)
Final type counts
         0 : drop     
         1 : bool8    
         0 : bool8    
         0 : bool8    
         0 : bool8    
         1 : int32    
         0 : int64    
         0 : float64  
         0 : float64  
         0 : float64  
         2 : string   
Rereading 1 columns due to out-of-sample type exceptions.
Column 1 ("") bumped from 'bool8' to 'string' due to <<"Goulburn">> on row 0
[11] Read the data
  jumps=[0..360), chunk_size=1017828, total_size=366418143
Read 98%. ETA 00:00 
[12] Finalizing the datatable
Reread 22885380 rows x 1 columns in 00:00.506
Read 22885380 rows. Exactly what was estimated and allocated up front
=============================
   0.002s (  0%) Memory map 0.341GB file
   0.007s (  0%) sep=',' ncol=4 and header detection
   0.001s (  0%) Column type detection using 10027 sample rows
   0.132s (  8%) Allocation of 22885380 rows x 4 cols (0.469GB)
   1.506s ( 91%) Reading 360 chunks of 0.971MB (63547 rows) using 12 threads
   =    0.001s (  0%) Finding first non-embedded \n after each jump
   +    0.195s ( 12%) Parse to row-major thread buffers
   +    0.938s ( 57%) Transpose
   +    0.371s ( 23%) Waiting
   0.506s ( 31%) Rereading 1 columns due to out-of-sample type exceptions
   1.647s        Total
Warning: stack imbalance in 'for', 2 then 8
There were 20 warnings (use warnings() to see them)

奇妙なことに、その確実性は素晴らしいです。 ありがとう。 つまり、フラッシュが機能しなかったので、結局Rprintfを回避する方法を見つける必要があります。 それverbose=FALSE, showProgress=FALSE私が推測する
それなら私に任せてください。 再度、感謝します。

@HughParsonageわかりました、最近の2回目の試行でもう一度試してください。 まだマスターにマージされていないので、ここのブランチからWindows.zipをフェッチするように注意してください。 以前と同様に、確認できるように、いずれかの方法で完全な出力を提供してください。 ありがとう！

次の最初の試みはクラッシュ（ポインタに関する何か）をもたらしました。

2回目の試行（再起動後）では、 stack imbalance in '$', 16 then 15警告が表示されます。

# Assert that `data.table` is not installed:
stopifnot(!requireNamespace("data.table", quietly = TRUE))

install.packages("https://ci.appveyor.com/api/buildjobs/bpsehtwybbbgbyy3/artifacts/data.table_1.10.5.zip",
                 repos = NULL)
# Installing package into ‘C:/Users/hughp/Documents/R/win-library/3.4’
# (as ‘lib’ is unspecified)
# trying URL 'https://ci.appveyor.com/api/buildjobs/bpsehtwybbbgbyy3/artifacts/data.table_1.10.5.zip'
# Content type 'application/octet-stream' length 1557502 bytes (1.5 MB)
# downloaded 1.5 MB

library(data.table)
# data.table 1.10.5 IN DEVELOPMENT built 2017-11-17 01:38:17 UTC; appveyor
# The fastest way to learn (by data.table authors): https://www.datacamp.com/courses/data-analysis-the-data-table-way
# Documentation: ?data.table, example(data.table) and browseVignettes("data.table")
# Release notes, videos and slides: http://r-datatable.com

setwd("~/ABS-data/inbox/SA2-by-DJZ-2011/")
fread("SA2-by-DJZ-2011.csv", verbose = TRUE, na.strings = "", header = FALSE)
# Input contains no \n. Taking this to be a filename to open
# [01] Check arguments
# Using 12 threads (omp_get_max_threads()=12, nth=12)
# NAstrings = [<<>>]
# None of the NAstrings look like numbers.
# show progress = 1
# 0/1 column will be read as boolean
# [02] Opening the file
# Opening file SA2-by-DJZ-2011.csv
# File opened, size = 349.4MB (366418725 bytes).
# Memory mapping ... ok
# [03] Detect and skip BOM
# [04] Arrange mmap to be \0 terminated
# \r-only line endings are not allowed because \n is found in the data
# [05] Skipping initial rows if needed
# Positioned on line 1 starting: <<Australian Bureau of Statistic>>
#   [06] Detect separator, quoting rule, and ncolumns
# Detecting sep ...
# sep=','  with 89 lines of 4 fields using quote rule 0
# Detected 4 columns on line 12. This line is either column names or first data row. Line starts as: <<"Goulburn","110018063",3499,>>
#   Quote rule picked = 0
# fill=false and the most number of columns found is 4
# [07] Detect column types, good nrow estimate and whether first row is column names
# 'header' changed by user from 'auto' to false
# Number of sampling jump points = 101 because (366418375 bytes from row 1 to eof) / (2 * 1457 jump0size) == 125744
# Type codes (jump 000)    : 1551  Quote rule 0
# Type codes (jump 100)    : 1A51  Quote rule 0
# =====
#   Sampled 10027 rows (handled \n inside quoted fields) at 101 jump points
# Bytes from first data row on line 12 to the end of last row: 366418143
# Line length: mean=16.02 sd=0.21 min=16 max=29
# Estimated number of rows: 366418143 / 16.02 = 22877178
# Initial alloc = 25164895 rows (22877178 + 9%) using bytes/max(mean-2*sd,min) clamped between [1.1*estn, 2.0*estn]
# =====
#   [08] Assign column names
# [09] Apply user overrides on column types
# After 0 type and 0 drop user overrides : 1A51
# [10] Allocate memory for the datatable
# Allocating 4 column slots (4 - 0 dropped) with 25164895 rows
# [11] Read the data
# jumps=[0..360), chunk_size=1017828, total_size=366418143
# Read 78%. ETA 00:00 Warning: stack imbalance in '$', 16 then 15
# Read 22885380 rows x 4 columns from 349.4MB (366418725 bytes) file in 00:02.677 wall clock time
# [12] Finalizing the datatable
# Type counts:
#   1 : bool8     '1'
# 1 : int32     '5'
# 2 : string    'A'
# =============================
#   0.002s (  0%) Memory map 0.341GB file
# 0.007s (  0%) sep=',' ncol=4 and header detection
# 0.001s (  0%) Column type detection using 10027 sample rows
# 0.297s ( 11%) Allocation of 25164895 rows x 4 cols (0.469GB) of which 22885380 ( 91%) rows used
# 2.369s ( 89%) Reading 360 chunks of 0.971MB (63547 rows) using 12 threads
# =    0.003s (  0%) Finding first non-embedded \n after each jump
# +    0.273s ( 10%) Parse to row-major thread buffers (grown 0 times)
# +    1.313s ( 49%) Transpose
# +    0.780s ( 29%) Waiting
# 0.893s ( 33%) Rereading 1 columns due to out-of-sample type exceptions
# 2.677s        Total
# Column 1 ("") bumped from 'bool8' to 'string' due to <<"Goulburn">> on row 0
# V1        V2      V3 V4
# 1: Goulburn 110018063    3499 NA
# 2:       NA 110018064     812 NA
# 3:       NA 110018065    2158 NA
# 4:       NA 110019999     402 NA
# 5:       NA 110028068      10 NA
# ---                              
#   22885376:       NA 997999799       0 NA
# 22885377:       NA 998999899      64 NA
# 22885378:       NA 994999499      34 NA
# 22885379:       NA 0&&&&&&&&  250796 NA
# 22885380:       NA 0@@@@@@@@ 7305367 NA
# Warning messages:
#   1: In fread("SA2-by-DJZ-2011.csv", verbose = TRUE, na.strings = "",  :
#                 Starting data input on line 12 <<"Goulburn","110018063",3499,>> with 4 fields and discarding line 11 <<"Main Statistical Area Structu>> before it because it has a different number of fields (3).
#               2: In fread("SA2-by-DJZ-2011.csv", verbose = TRUE, na.strings = "",  :
#               Found the last consistent line but text exists afterwards. Consider fill=TRUE and/or blank.lines.skip=TRUE. First 200 characters of discarded line: <<"Dataset: 2011 Census of Population and Housing">>

こんにちは、@ mattdowle。 OpenMPが4.0ではなくせいぜい3.1であるGCCのバージョンがまだ使用されています。 CRAN（ Delaporte ）のパッケージの1つでこの問題が発生し、Rtools for Windows（4.9.3に基づく）でコンパイルされたSIMDディレクティブ（OpenMP 4.0）を使用しようとしましたが、まだgccを使用している誰かのLinuxマシンでエラーが発生しました4.8.0。 私の記憶が正しければ、Windowsでさえ4.0呼び出ししか使用できず、4.5呼び出しは使用できません。 多分それは問題に貢献していますか？

@HughParsonageとても早くテストしてくれてありがとう！ わかりました、それでは考え続けます！
@aadlerそれは良い考えです-何でも可能です。

@HughParsonage 1回の変更（ verbose=FALSE ）で同じコマンドが正常に機能することを確認してください。 つまり、 fread("SA2-by-DJZ-2011.csv", verbose = FALSE, na.strings = "", header = FALSE)です。 プログレスメーターは引き続き表示されます。

はい、そのコマンドを（10回）実行すると、期待される結果が返されました（つまり、データの形式が正しくないため、警告が2つしかないdata.table）。 スタックの不均衡の警告はありません。

ありがとう。 そのため、コンソール出力に関連しているようです。 試してみることがもっといくつかあります...

詳細モードでは、並列領域内にwallclock()を呼び出すブランチがいくつかあります。 それを除外するために、常に0.0を返し、システムコールを回避するように短絡しました。 スレッドセーフだと思いましたが、そうではないかもしれません。 ここで再構築されたブランチから新しいWindows.zipを試してください。

最初の試み：

install.packages("https://ci.appveyor.com/api/buildjobs/o0pn9ttkrbqgqw2k/artifacts/data.table_1.10.5.zip",
                 repos = NULL)
# Installing package into ‘C:/Users/hughp/Documents/R/win-library/3.4’
# (as ‘lib’ is unspecified)
# trying URL 'https://ci.appveyor.com/api/buildjobs/o0pn9ttkrbqgqw2k/artifacts/data.table_1.10.5.zip'
# Content type 'application/octet-stream' length 1556972 bytes (1.5 MB)
# downloaded 1.5 MB
# 
# package ‘data.table’ successfully unpacked and MD5 sums checked

library(data.table)
# data.table 1.10.5 IN DEVELOPMENT built 2017-11-17 03:49:20 UTC; appveyor
# The fastest way to learn (by data.table authors): https://www.datacamp.com/courses/data-analysis-the-data-table-way
# Documentation: ?data.table, example(data.table) and browseVignettes("data.table")
# Release notes, videos and slides: http://r-datatable.com
fread("SA2-by-DJZ-2011.csv", verbose = TRUE, na.strings = "", header = FALSE)

2回目の試行で、次の警告が表示されます。

Read 22%. ETA 00:00 Error in fread("SA2-by-DJZ-2011.csv", verbose = TRUE, na.strings = "",  : 
  unprotect_ptr: pointer not found
In addition: Warning messages:
1: In fread("SA2-by-DJZ-2011.csv", verbose = TRUE, na.strings = "",  :
  Starting data input on line 12 <<"Goulburn","110018063",3499,>> with 4 fields and discarding line 11 <<"Main Statistical Area Structu>> before it because it has a different number of fields (3).
2: In fread("SA2-by-DJZ-2011.csv", verbose = TRUE, na.strings = "",  :
 Warning: stack imbalance in '$', 29 then 28
 Found the last consistent line but text exists afterwards. Consider fill=TRUE and/or blank.lines.skip=TRUE. First 200 characters of discarded line: <<"Dataset: 2011 Census of Population and Housing">>
Warning: stack imbalance in 'lapply', 125 then 126
Warning: stack imbalance in 'lapply', 55 then 53
Warning: stack imbalance in 'lapply', 30 then 34
Warning: stack imbalance in '<-', 28 then 31
Warning: stack imbalance in '{', 24 then 27
Warning: stack imbalance in '{', 18 then 21

考えてみてください。これはRStudioの問題でしょうか？ ターミナルからスクリプトを実行すると、簡単に再現できないようです。 コンソール出力のコピーが簡単になるため、RStudioから実行しています。

RStudioの外では_簡単に_再現できないと言うとき、それは_まったく再現しますか？ RStudio内でのみ発生する場合でも、data.table側で修正することを目指しています。 私は別のルートとして、それが間違いなく「単なる」コンソール出力であり、フレッドロジックの他の真のスタックの不均衡ではないことを確認するように求めています。

私はすべてでRStudioの外側を再現するために、まだだし、その中に信頼性の高い再生が（である、私はいくつかの警告またはクラッシュを再現することができます）することができます。 Windowsのコマンドプロンプトとgitシェル（Windowsの場合）を試しました。

WindowsでRStudioバージョン1.1.383を使用しています。 私が彼らにもこの問題を提起した場合、あなたに役立ちますか、それとも私に待ってもらいたいですか？

ありがとう。 これは、RStudioの内部にあることを知っておくと非常に便利です。 彼らと一緒にそれを上げる必要はありません。 これは、出力コンソールのバッファリング（または同様のもの）と関係があることを意味します。 私は回避策を進めており、プッシュしようとしています。

Windowsがその変更をコンパイルしない理由がわかりません：
fread.c:1054:3: warning: too many arguments for format [-Wformat-extra-args]
ここではLinuxとTravisで問題なく動作します。 これにより、この回避策をテストするためのWindows.zipが作成されなくなります。 私はそれで眠らなければならないでしょう。
（1054行目については不平を言っていますが、同じafaicsである次の1055行目ではありません。多少の違いがあるはずです。％lluはWindowsの__VA_ARGS__に問題があります-確かにそうではありません。）

さて、ついにwindows.zipを再試行する準備が整いました。

現在、このブランチにはいくつかの回避策があります。 それが機能する場合は、回避策を削除して、それがどれであったかを確認します。 lluコンパイラの警告は、ここにある@ st-pashaの説明と一致して、詳細な出力でスタックの不均衡を引き起こすため、最も有望に見えRprintfレイヤーは、 fprintf直接使用していることがわかるコンパイラーからそれを隠していました。

2回目の試行時（再起動後）

stopifnot(!requireNamespace("data.table", quietly = TRUE))
install.packages("https://ci.appveyor.com/api/buildjobs/1pi0ae5iuyj9rhj8/artifacts/data.table_1.10.5.zip",
                 repos = NULL)
# Installing package into ‘C:/Users/hughp/Documents/R/win-library/3.4’
# (as ‘lib’ is unspecified)
# trying URL 'https://ci.appveyor.com/api/buildjobs/1pi0ae5iuyj9rhj8/artifacts/data.table_1.10.5.zip'
# Content type 'application/octet-stream' length 1559167 bytes (1.5 MB)
# downloaded 1.5 MB
# 
# package ‘data.table’ successfully unpacked and MD5 sums checked

library(data.table)
# data.table 1.10.5 IN DEVELOPMENT built 2017-11-18 04:58:23 UTC; appveyor
# The fastest way to learn (by data.table authors): https://www.datacamp.com/courses/data-analysis-the-data-table-way
# Documentation: ?data.table, example(data.table) and browseVignettes("data.table")
# Release notes, videos and slides: http://r-datatable.com

fread("SA2-by-DJZ-2011.csv", verbose = TRUE, na.strings = "", header = FALSE)
Log file:  C:\Users\hughp\AppData\Local\Temp\RtmpIT9H0D/fread.out 
Input contains no \n. Taking this to be a filename to open
Read 11%. ETA 00:00 Warning: stack imbalance in '$', 19 then 20
Read 28%. ETA 00:00 Warning: stack imbalance in '$', 19 then 20
Read 48%. ETA 00:00 Warning: stack imbalance in '$', 20 then 19
Read 98%. ETA 00:00 [01] Check arguments
  Using 12 threads (omp_get_max_threads()=12, nth=12)
  NAstrings = [<<>>]
  None of the NAstrings look like numbers.
  show progress = 1
  0/1 column will be read as boolean
[02] Opening the file
  Opening file SA2-by-DJZ-2011.csv
  File opened, size = 349.4MB (366418725 bytes).
  Memory mapped ok
[03] Detect and skip BOM
[04] Arrange mmap to be \0 terminated
  \n has been found in the data so any mixture of line endings is allowed other than \r-only line endings. This is common and ideal.
[05] Skipping initial rows if needed
  Positioned on line 1 starting: <<Australian Bureau of Statistic>>
[06] Detect separator, quoting rule, and ncolumns
  Detecting sep ...
  sep=','  with 89 lines of 4 fields using quote rule 0
  Detected 4 columns on line 12. This line is either column names or first data row. Line starts as: <<"Goulburn","110018063",3499,>>
  Quote rule picked = 0
  fill=false and the most number of columns found is 4
[07] Detect column types, good nrow estimate and whether first row is column names
  'header' changed by user from 'auto' to false
  Number of sampling jump points = 101 because (366418375 bytes from row 1 to eof) / (2 * 1457 jump0size) == 125744
  Type codes (jump 000)    : 1551  Quote rule 0
  Type codes (jump 100)    : 1A51  Quote rule 0
  =====
  Sampled 10027 rows (handled \n inside quoted fields) at 101 jump points
  Bytes from first data row on line 12 to the end of last row: 366418143
  Line length: mean=16.02 sd=0.21 min=16 max=29
  Estimated number of rows: 366418143 / 16.02 = 22877178
  Initial alloc = 25164895 rows (22877178 + 9%) using bytes/max(mean-2*sd,min) clamped between [1.1*estn, 2.0*estn]
  =====
[08] Assign column names
[09] Apply user overrides on column types
  After 0 type and 0 drop user overrides : 1A51
[10] Allocate memory for the datatable
  Allocating 4 column slots (4 - 0 dropped) with 25164895 rows
[11] Read the data
  jumps=[0..360), chunk_size=1017828, total_size=366418143
[11] Read the data
  jumps=[0..360), chunk_size=1017828, total_size=366418143
Read 22885380 rows x 4 columns from 349.4MB (366418725 bytes) file in 00:02.822 wall clock time
[12] Finalizing the datatable
  Type counts:
         1 : bool8     '1'
         1 : int32     '5'
         2 : string    'A'
=============================
   0.000s (  0%) Memory map 0.341GB file
   0.001s (  0%) sep=',' ncol=4 and header detection
   0.000s (  0%) Column type detection using 10027 sample rows
   0.291s ( 10%) Allocation of 25164895 rows x 4 cols (0.469GB) of which 22885380 ( 91%) rows used
   2.531s ( 90%) Reading 360 chunks of 0.971MB (63547 rows) using 12 threads
   =    0.002s (  0%) Finding first non-embedded \n after each jump
   +    0.282s ( 10%) Parse to row-major thread buffers (grown 0 times)
   +    1.537s ( 54%) Transpose
   +    0.710s ( 25%) Waiting
   0.842s ( 30%) Rereading 1 columns due to out-of-sample type exceptions
   2.822s        Total
Column 1 ("") bumped from 'bool8' to 'string' due to <<"Goulburn">> on row 0
                V1        V2      V3 V4
       1: Goulburn 110018063    3499 NA
       2:       NA 110018064     812 NA
       3:       NA 110018065    2158 NA
       4:       NA 110019999     402 NA
       5:       NA 110028068      10 NA
      ---                              
22885376:       NA 997999799       0 NA
22885377:       NA 998999899      64 NA
22885378:       NA 994999499      34 NA
22885379:       NA 0&&&&&&&&  250796 NA
22885380:       NA 0@@@@@@@@ 7305367 NA
Warning messages:
1: In fread("SA2-by-DJZ-2011.csv", verbose = TRUE, na.strings = "",  :
  Starting data input on line 12 <<"Goulburn","110018063",3499,>> with 4 fields and discarding line 11 <<"Main Statistical Area Structu>> before it because it has a different number of fields (3).
2: In fread("SA2-by-DJZ-2011.csv", verbose = TRUE, na.strings = "",  :
  Found the last consistent line but text exists afterwards. Consider fill=TRUE and/or blank.lines.skip=TRUE. First 200 characters of discarded line: <<"Dataset: 2011 Census of Population and Housing">>

繰り返しますが、RStudioの外部では再現できません。

とても早くテストしてくれてありがとう。 まあ、それは確かにその時多くを除外します！ 2つのアイデアが残っています。 最初のものは押して通過しました。 ここで新しいWindows.zipを試してください。 そのallocaはスタック上にあり、発生時に設定しているna.stringsと関係があります。 間違いなく適切な領域（スタックの不均衡）にあり、試す価値があります。

問題ありません—次の12時間ほど不在になるので、それまでテストできません。
17:20時土、2017年11月18日には、マットDowleの[email protected]は書きました：

とても早くテストしてくれてありがとう。 まあ、それは確かにその時多くを除外します！
2つのアイデアが残っています。 最初のものは押して通過しました。 新しいWindows.zipをお試しください
ここに
https://ci.appveyor.com/project/Rdatatable/data-table/build/1.0.1363/job/fo02vnbu5ebhwy3w/artifacts 。
その割り当てはスタックに割り当てられ、na.stringsと関係があります。
あなたはそれが起こるように設定しています。 間違いなく適切な領域（スタック
不均衡）そして試す価値があります。

—
あなたが言及されたのであなたはこれを受け取っています。

このメールに直接返信し、GitHubで表示してください
https://github.com/Rdatatable/data.table/issues/2481#issuecomment-345421856 、
またはスレッドをミュートします
https://github.com/notifications/unsubscribe-auth/AHvGDGa5Qnls5eSFBMaQO5s8DElfrpKSks5s3ncqgaJpZM4QcuPc
。

大丈夫ですよ。 ありがとう！ 私も2番目のアイデアをプッシュしました。 過去に\rがWindowsで問題を引き起こしたことを覚えているようですが、スタックの不均衡を思い出しません。 とにかく、それを除外するために、進行状況メーターから\rを削除しました。 スタック不均衡メッセージは、ETA行が発生する場所に出力されるようです。 コンソールが\rをキャッチし、それを異なる方法で処理して、最後の行が置き換えられるようにすることは可能です。 これで、ETAが更新されるたびに新しい行が表示されます。 それを除外するために一時的に。 新しいWindows.zipがビルドされ、ここに渡さ

fread("SA2-by-DJZ-2011.csv", verbose = TRUE, na.strings = "", header = FALSE)
Log file:  C:\Users\hughp\AppData\Local\Temp\RtmpcVjZ1f/fread.out 
Input contains no \n. Taking this to be a filename to open
Read 5%. ETA 00:00
Read 8%. ETA 00:00
Read 11%. ETA 00:00
Read 15%. ETA 00:00
Read 18%. ETA 00:00
Read 21%. ETA 00:00
Read 25%. ETA 00:00
Read 28%. ETA 00:00
Read 31%. ETA 00:00
Read 35%. ETA 00:00
Read 38%. ETA 00:00
Read 41%. ETA 00:00
Read 45%. ETA 00:00
Read 48%. ETA 00:00
Read 51%. ETA 00:00
Read 55%. ETA 00:00
Warning: stack imbalance in '$', 30 then 31
Warning: stack imbalance in '$', 17 then 16
Read 58%. ETA 00:00
Read 61%. ETA 00:00
Read 65%. ETA 00:00
Read 68%. ETA 00:00
Read 71%. ETA 00:00
Read 75%. ETA 00:00
Read 78%. ETA 00:00
Read 81%. ETA 00:00
Read 85%. ETA 00:00
Read 88%. ETA 00:00
Read 91%. ETA 00:00
Read 95%. ETA 00:00
Read 98%. ETA 00:00
[01] Check arguments
  Using 12 threads (omp_get_max_threads()=12, nth=12)
  NAstrings = [<<>>]
  None of the NAstrings look like numbers.
  show progress = 1
  0/1 column will be read as boolean
[02] Opening the file
  Opening file SA2-by-DJZ-2011.csv
  File opened, size = 349.4MB (366418725 bytes).
  Memory mapped ok
[03] Detect and skip BOM
[04] Arrange mmap to be \0 terminated
  \n has been found in the data so any mixture of line endings is allowed other than \r-only line endings. This is common and ideal.
[05] Skipping initial rows if needed
  Positioned on line 1 starting: <<Australian Bureau of Statistic>>
[06] Detect separator, quoting rule, and ncolumns
  Detecting sep ...
  sep=','  with 89 lines of 4 fields using quote rule 0
  Detected 4 columns on line 12. This line is either column names or first data row. Line starts as: <<"Goulburn","110018063",3499,>>
  Quote rule picked = 0
  fill=false and the most number of columns found is 4
[07] Detect column types, good nrow estimate and whether first row is column names
  'header' changed by user from 'auto' to false
  Number of sampling jump points = 101 because (366418375 bytes from row 1 to eof) / (2 * 1457 jump0size) == 125744
  Type codes (jump 000)    : 1551  Quote rule 0
  Type codes (jump 100)    : 1A51  Quote rule 0
  =====
  Sampled 10027 rows (handled \n inside quoted fields) at 101 jump points
  Bytes from first data row on line 12 to the end of last row: 366418143
  Line length: mean=16.02 sd=0.21 min=16 max=29
  Estimated number of rows: 366418143 / 16.02 = 22877178
  Initial alloc = 25164895 rows (22877178 + 9%) using bytes/max(mean-2*sd,min) clamped between [1.1*estn, 2.0*estn]
  =====
[08] Assign column names
[09] Apply user overrides on column types
  After 0 type and 0 drop user overrides : 1A51
[10] Allocate memory for the datatable
  Allocating 4 column slots (4 - 0 dropped) with 25164895 rows
[11] Read the data
  jumps=[0..360), chunk_size=1017828, total_size=366418143
[11] Read the data
  jumps=[0..360), chunk_size=1017828, total_size=366418143
Read 22885380 rows x 4 columns from 349.4MB (366418725 bytes) file in 00:02.894 wall clock time
[12] Finalizing the datatable
  Type counts:
         1 : bool8     '1'
         1 : int32     '5'
         2 : string    'A'
=============================
   0.001s (  0%) Memory map 0.341GB file
   0.003s (  0%) sep=',' ncol=4 and header detection
   0.000s (  0%) Column type detection using 10027 sample rows
   0.316s ( 11%) Allocation of 25164895 rows x 4 cols (0.469GB) of which 22885380 ( 91%) rows used
   2.574s ( 89%) Reading 360 chunks of 0.971MB (63547 rows) using 12 threads
   =    0.004s (  0%) Finding first non-embedded \n after each jump
   +    0.284s ( 10%) Parse to row-major thread buffers (grown 0 times)
   +    1.450s ( 50%) Transpose
   +    0.837s ( 29%) Waiting
   0.953s ( 33%) Rereading 1 columns due to out-of-sample type exceptions
   2.894s        Total
Column 1 ("") bumped from 'bool8' to 'string' due to <<"Goulburn">> on row 0
                V1        V2      V3 V4
       1: Goulburn 110018063    3499 NA
       2:       NA 110018064     812 NA
       3:       NA 110018065    2158 NA
       4:       NA 110019999     402 NA
       5:       NA 110028068      10 NA
      ---                              
22885376:       NA 997999799       0 NA
22885377:       NA 998999899      64 NA
22885378:       NA 994999499      34 NA
22885379:       NA 0&&&&&&&&  250796 NA
22885380:       NA 0@@@@@@@@ 7305367 NA
Warning messages:
1: In fread("SA2-by-DJZ-2011.csv", verbose = TRUE, na.strings = "",  :
  Starting data input on line 12 <<"Goulburn","110018063",3499,>> with 4 fields and discarding line 11 <<"Main Statistical Area Structu>> before it because it has a different number of fields (3).
2: In fread("SA2-by-DJZ-2011.csv", verbose = TRUE, na.strings = "",  :
  Found the last consistent line but text exists afterwards. Consider fill=TRUE and/or blank.lines.skip=TRUE. First 200 characters of discarded line: <<"Dataset: 2011 Census of Population and Housing">>

参考：少し古いバージョンのRStudioを使用している別のWindowsマシンでは、このスタック不均衡エラーを再現できませんでした。

その場合は、提案されたとおりにRStudioサポートに問い合わせるときが来たようです。 私は再びフレッドコードを調べましたが、私は自分の側のアイデアがありません。 RStudioの2つのバージョン番号を教えてください。 必ずしもRStudioであるとは限りません。たまたま、RStudioの1つのバージョンに表示されるdata.table側の障害である可能性があります。 しかし、それがコンソール出力に関連しているように見えるのは奇妙であり、それはRStudio固有の異なるものです。 「RStudioスタックの不均衡」を検索しましたが、RStudio自体ではなく、パッケージの障害について多くの問題が発生します。 検索が難しい問題。 ここで問題を開いたままにして、彼らの言うことを見てみましょう。

最後の試みが役立つとは思えませんが、完全を期すために、ここで試してみて

ただし、その特定のスタック不均衡メッセージは、R自体のeval.c：491からfreadまたはdata.tableではないと思います。 そのcheck_stack_balance()は、R内部の5つの場所からのみ呼び出されます。
names.cの終わりにdo_internal()
objects.cで、 applyMethod()で2回
eval.cで、 eval()で2回
fread.cが並列セクションにある間、これらのいずれかに到達する方法がわかりません。 呼び出されている唯一のエントリポイントはREprintfあり、それがcheck_stack_balance()到達する方法がわかりません。 私が現在考えることができるのは、RStudioには、おそらくWindowsでは異なる方法で、コンソール出力と相互作用するバックグラウンドで何かを実行しているスレッドがあるということだけです。
最後に、完全を期すために、ベースRがlibcurl.c：354およびinternet.c：409の進行状況メーターで（ Rprintfではなく）それを使用しているため、 REprintfを使用するのが正しい方法のようです。 CレベルのRのプログレスバーがRのAPIで使用できないのは残念です（CレベルのRでも2回実装されているようです）。

@mattdowle 、これは役に立ちますか？ https://github.com/r-lib/progress

@aaderはい-ありがとう！ そのソースにはこのコメントが含まれています：
// In R Studio we should print to stdout, because printing a \r
// to stderr is buggy (reported)
しかし、私はすでに\rを削除しましたが、スタックの不均衡は依然として発生します。 どこで報告されたのかしら。

多分これ？

https://support.rstudio.com/hc/en-us/community/posts/203136268-Carriage-return-does-not-work-on-stderr-

最後のビルドも機能しませんでした：

https://community.rstudio.com/t/stack-imbalance-possibly-in-stderr/3009で報告されてい

R-develに関するタイムリーな質問： [Rd] RprintfとREprintfはスレッドセーフですか？

結論「RprintfとREprintfはスレッドセーフではありません。」

ヨイク！

RStudioで問題を提起してくれたリンクとHughに感謝します。

data.table::fwrite()とdata.table::fread()は、 RprintfとREprintfがスレッドセーフではないことを認識しているため、進行状況メーターでは、マスタースレッドからのみ呼び出します。 2つのdata.tableスレッドがそのRエントリポイントを同時に呼び出すだけでなく、マスタースレッドだけがそれを呼び出すこともあります。これは、スレッドのいずれかによって呼び出される唯一のRエントリポイントです。平行断面。 ただし、 Rprintfは、100回の印刷ごとにR_CheckUserInterrupt呼び出します。 マスタースレッドだけでも安全ではない部分だと思います。 これが、 R_CheckUserInterrupt呼び出さないため、 REprintfを使用する理由です。 R内部は進行状況メーターにREprintfを使用するため、コアRとの整合性を保つためにREprintfに切り替えるのは理にかなっています。 つまり、その選択は、stderrとstdout自体とは何の関係もありません。

@kevinusheyこのスレッドを見て、他に試すことができることを教えていただけませんか。 RStudioに関連しているのでしょうか、どういうわけか、おそらくバックグラウンドスレッドに関連しているのでしょうか？ RStudioにバックグラウンドスレッドがある場合、 Rprintf / REprintfが2つのスレッドから同時に呼び出される可能性があります。 しかし、もしそうなら、今までにもっと多くの問題があったでしょう。 したがって、それは非常にありそうもないようです。 おそらく、RStudioは、 R-extsのセクションptr_*コールバックを置き換えます。これらは、コンソールの出力と対話に関連しています。 ただし、そのセクションは「UNIX関連の場合」で始まるため、Windowsがどのように登場するのかわかりません。おそらくセクション8.1.5のスレッドの問題も関連しています。 どちらもセクション8「GUIおよびその他のフロントエンドをRにリンクする」のサブセクションです。

12月上旬まで外出するので、残念ながらそれまで見る機会がありません。 ただし、RStudioは、Rイベントループを使用してメインスレッドでほとんどすべてを実行します。 唯一の例外は、たとえばプロジェクトレベルのファイルインデックス作成であり、これらのバックグラウンドスレッドは通常RAPIに影響を与えません。

RStudioは、コンソールの入力と出力を処理するためのさまざまなptr_*コールバックを引き継ぎます。 ここでは、それらがどのように原因であるかをすぐに考えることはできませんが、戻ってきたら、さらに詳しく調べてみます。

[OK]を、これを試してみてくださいここに。 以前は、2％ごとに進捗状況を更新していました。 あなたの場合、ファイルは3秒弱しかかからないので、0.06秒ごとにRStudioコンソールへの新しい進行状況の更新でした。 多分それはRStudioには多すぎた。 したがって、この試みはバーを印刷します。 \rはまったく使用しません。 これは、 \rが出力をいっぱいにする可能性があるレポートやログファイルに適しています。

3秒のタイミングは非常に速いので、そこから1秒のETAがある場合、プログレスバーを1秒から開始するように減らしました。 そうしないと、表示されていないという理由だけで、ファイルがまったく表示されず、ファイルに対して機能しません。 テストが終わったら、 fwrite値に増やします。 つまり、ETAがそこから2秒の場合、2秒から開始します。

こんにちは、@ mattdowle。 ＃2503での私の最後のコメントも、この問題に関連している可能性があります。

いいね！ 警告なし（5回の実行後）。 以下で最初に実行します（先頭のスペースは実際の出力では異なって見えることに注意してください）：

stopifnot(!requireNamespace("data.table", quietly = TRUE))
install.packages("https://ci.appveyor.com/api/buildjobs/1o9s06o31v8i3ljr/artifacts/data.table_1.10.5.zip",
                 repos = NULL)
# Installing package into ‘C:/Users/hughp/Documents/R/win-library/3.4’
# (as ‘lib’ is unspecified)
# trying URL 'https://ci.appveyor.com/api/buildjobs/1o9s06o31v8i3ljr/artifacts/data.table_1.10.5.zip'
# Content type 'application/octet-stream' length 1557423 bytes (1.5 MB)
# downloaded 1.5 MB
# 
# package ‘data.table’ successfully unpacked and MD5 sums checked

library(data.table)
# data.table 1.10.5 IN DEVELOPMENT built 2017-11-30 00:21:00 UTC; appveyor
# The fastest way to learn (by data.table authors): https://www.datacamp.com/courses/data-analysis-the-data-table-way
# Documentation: ?data.table, example(data.table) and browseVignettes("data.table")
# Release notes, videos and slides: http://r-datatable.com
setwd("~/ABS-data/inbox/SA2-by-DJZ-2011/")
fread("SA2-by-DJZ-2011.csv", verbose = TRUE, na.strings = "", header = FALSE)
# Input contains no \n. Taking this to be a filename to open
# [01] Check arguments
# Using 12 threads (omp_get_max_threads()=12, nth=12)
# NAstrings = [<<>>]
# None of the NAstrings look like numbers.
# show progress = 1
# 0/1 column will be read as boolean
# [02] Opening the file
# Opening file SA2-by-DJZ-2011.csv
# File opened, size = 349.4MB (366418725 bytes).
# Memory mapped ok
# [03] Detect and skip BOM
# [04] Arrange mmap to be \0 terminated
# \n has been found in the data so any mixture of line endings is allowed other than \r-only line endings. This is common and ideal.
# [05] Skipping initial rows if needed
# Positioned on line 1 starting: <<Australian Bureau of Statistic>>
#   [06] Detect separator, quoting rule, and ncolumns
# Detecting sep ...
# sep=','  with 89 lines of 4 fields using quote rule 0
# Detected 4 columns on line 12. This line is either column names or first data row. Line starts as: <<"Goulburn","110018063",3499,>>
#   Quote rule picked = 0
# fill=false and the most number of columns found is 4
# [07] Detect column types, good nrow estimate and whether first row is column names
# 'header' changed by user from 'auto' to false
# Number of sampling jump points = 101 because (366418375 bytes from row 1 to eof) / (2 * 1457 jump0size) == 125744
# Type codes (jump 000)    : 1551  Quote rule 0
# Type codes (jump 100)    : 1A51  Quote rule 0
# =====
#   Sampled 10027 rows (handled \n inside quoted fields) at 101 jump points
# Bytes from first data row on line 12 to the end of last row: 366418143
# Line length: mean=16.02 sd=0.21 min=16 max=29
# Estimated number of rows: 366418143 / 16.02 = 22877178
# Initial alloc = 25164895 rows (22877178 + 9%) using bytes/max(mean-2*sd,min) clamped between [1.1*estn, 2.0*estn]
# =====
#   [08] Assign column names
# [09] Apply user overrides on column types
# After 0 type and 0 drop user overrides : 1A51
# [10] Allocate memory for the datatable
# Allocating 4 column slots (4 - 0 dropped) with 25164895 rows
# [11] Read the data
# jumps=[0..360), chunk_size=1017828, total_size=366418143
# jumps=[0..360), chunk_size=1017828, total_size=366418143
# |--------------------------------------------------|
#   |==================================================|
#   Read 22885380 rows x 4 columns from 349.4MB (366418725 bytes) file in 00:02.280 wall clock time
# [12] Finalizing the datatable
# Type counts:
#   1 : bool8     '1'
# 1 : int32     '5'
# 2 : string    'A'
# =============================
#   0.005s (  0%) Memory map 0.341GB file
# 0.037s (  2%) sep=',' ncol=4 and header detection
# 0.000s (  0%) Column type detection using 10027 sample rows
# 0.321s ( 14%) Allocation of 25164895 rows x 4 cols (0.469GB) of which 22885380 ( 91%) rows used
# 1.917s ( 84%) Reading 360 chunks of 0.971MB (63547 rows) using 12 threads
# =    0.011s (  0%) Finding first non-embedded \n after each jump
# +    0.560s ( 25%) Parse to row-major thread buffers (grown 0 times)
# +    0.488s ( 21%) Transpose
# +    0.858s ( 38%) Waiting
# 0.999s ( 44%) Rereading 1 columns due to out-of-sample type exceptions
# 2.280s        Total
# Column 1 ("") bumped from 'bool8' to 'string' due to <<"Goulburn">> on row 0
# V1        V2      V3 V4
# 1: Goulburn 110018063    3499 NA
# 2:       NA 110018064     812 NA
# 3:       NA 110018065    2158 NA
# 4:       NA 110019999     402 NA
# 5:       NA 110028068      10 NA
# ---                              
#   22885376:       NA 997999799       0 NA
# 22885377:       NA 998999899      64 NA
# 22885378:       NA 994999499      34 NA
# 22885379:       NA 0&&&&&&&&  250796 NA
# 22885380:       NA 0@@@@@@@@ 7305367 NA
# Warning messages:
#   1: In fread("SA2-by-DJZ-2011.csv", verbose = TRUE, na.strings = "",  :
#                 Starting data input on line 12 <<"Goulburn","110018063",3499,>> with 4 fields and discarding line 11 <<"Main Statistical Area Structu>> before it because it has a different number of fields (3).
#               2: In fread("SA2-by-DJZ-2011.csv", verbose = TRUE, na.strings = "",  :
#               Found the last consistent line but text exists afterwards. Consider fill=TRUE and/or blank.lines.skip=TRUE. First 200 characters of discarded line: <<"Dataset: 2011 Census of Population and Housing">>

@HughParsonage Relief！ それなら勝利だと思います。 片付け、マージして次に進みます。 テストしてくれてありがとう。

@aadlerはい、問題＃2503のコメントはまったく同じように見えることに同意しました。 開発者からの最新のテストも行って、修正されたことを確認してください。 見つけたas.IDateの問題が、以前のスタックの不均衡によって実際に引き起こされたことを願っています。

良くない:(

> library(data.table)
data.table 1.10.5 IN DEVELOPMENT built 2017-11-30 00:21:00 UTC; appveyor
  The fastest way to learn (by data.table authors): https://www.datacamp.com/courses/data-analysis-the-data-table-way
  Documentation: ?data.table, example(data.table) and browseVignettes("data.table")
  Release notes, videos and slides: http://r-datatable.com
> sessionInfo()
R version 3.4.2 beta (2017-09-17 r73296)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows Server >= 2012 x64 (build 9200)

Matrix products: default

locale:
[1] LC_COLLATE=English_United States.1252  LC_CTYPE=English_United States.1252    LC_MONETARY=English_United States.1252
[4] LC_NUMERIC=C                           LC_TIME=English_United States.1252    

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
[1] data.table_1.10.5

loaded via a namespace (and not attached):
[1] compiler_3.4.2 tools_3.4.2   
> DT <- fread('2017-11-22_1999_Performance.csv', header = TRUE, colClasses = CLS, select = SEL, key = c('LoanID', 'Month'), verbose = TRUE)
Input contains no \n. Taking this to be a filename to open
[01] Check arguments
  Using 40 threads (omp_get_max_threads()=40, nth=40)
  NAstrings = [<<NA>>]
  None of the NAstrings look like numbers.
  show progress = 1
  0/1 column will be read as boolean
[02] Opening the file
  Opening file 2017-11-22_1999_Performance.csv
  File opened, size = 6.355GB (6823372783 bytes).
  Memory mapped ok
[03] Detect and skip BOM
[04] Arrange mmap to be \0 terminated
  \n has been found in the data so any mixture of line endings is allowed other than \r-only line endings. This is common and ideal.
[05] Skipping initial rows if needed
  Positioned on line 1 starting: <<Orig_Year,Orig_Qtr,LoanID,Mont>>
[06] Detect separator, quoting rule, and ncolumns
  Detecting sep ...
  sep=','  with 100 lines of 37 fields using quote rule 0
  Detected 37 columns on line 1. This line is either column names or first data row. Line starts as: <<Orig_Year,Orig_Qtr,LoanID,Mont>>
  Quote rule picked = 0
  fill=false and the most number of columns found is 37
[07] Detect column types, good nrow estimate and whether first row is column names
  'header' changed by user from 'auto' to true
  Number of sampling jump points = 101 because (6823372781 bytes from row 1 to eof) / (2 * 12905 jump0size) == 264369
  Type codes (jump 000)    : 51AA7155A15A7111111111111771111177715  Quote rule 0
  Type codes (jump 001)    : 51AA7155A15A711111111111177111117771A  Quote rule 0
  Type codes (jump 008)    : 51AA7555A15A711111111111177111117771A  Quote rule 0
  Type codes (jump 009)    : 51AA7555AA5A71A155555557177111117775A  Quote rule 0
  Type codes (jump 042)    : 55AA7555AA5A71A155555557177111117775A  Quote rule 0
  Type codes (jump 064)    : 55AA7555AA5A71A1A5555557177111117775A  Quote rule 0
  Type codes (jump 100)    : 55AA7555AA5A71A1A5555557177111117775A  Quote rule 0
  =====
  Sampled 10049 rows (handled \n inside quoted fields) at 101 jump points
  Bytes from first data row on line 1 to the end of last row: 6823372781
  Line length: mean=126.15 sd=8.30 min=100 max=359
  Estimated number of rows: 6823372781 / 126.15 = 54088821
  Initial alloc = 62279495 rows (54088821 + 15%) using bytes/max(mean-2*sd,min) clamped between [1.1*estn, 2.0*estn]
  =====
[08] Assign column names
[09] Apply user overrides on column types
  After 4 type and 23 drop user overrides : 00AA700000000000000000070775555077750
[10] Allocate memory for the datatable
  Allocating 14 column slots (37 - 23 dropped) with 62279495 rows
[11] Read the data
  jumps=[0..6520), chunk_size=1046529, total_size=6823372422
|--------------------------------------------------|
|=======Warning: stack imbalance in '$', 27 then 26
===Warning: stack imbalance in '$', 26 then 27
================Error in fread("2017-11-22_1999_Performance.csv", header = TRUE, colClasses = CLS,  : 
  unprotect_ptr: pointer not found

@aadlerそのレポートをありがとう。 freadRを通過し、保護をローカライズしました。 あなたの場合は型をオーバーライドしていて、コードのその部分にかなりの数の保護があったので、30％の確率で機能する可能性があります。 このビルドを使用し

@aadlerあなたはまだ最後のビルドを試していない場合は、しようとするに直進してくださいこれを。 また、ファイルのコピーを入手できれば、WindowsRStudioで試してみることができるかもしれません。

:(

> library(data.table)
data.table 1.10.5 IN DEVELOPMENT built 2017-12-01 01:54:04 UTC; appveyor
  The fastest way to learn (by data.table authors): https://www.datacamp.com/courses/data-analysis-the-data-table-way
  Documentation: ?data.table, example(data.table) and browseVignettes("data.table")
  Release notes, videos and slides: http://r-datatable.com
> sessionInfo()
R version 3.4.2 beta (2017-09-17 r73296)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows Server >= 2012 x64 (build 9200)

Matrix products: default

locale:
[1] LC_COLLATE=English_United States.1252  LC_CTYPE=English_United States.1252    LC_MONETARY=English_United States.1252
[4] LC_NUMERIC=C                           LC_TIME=English_United States.1252    

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
[1] data.table_1.10.5

loaded via a namespace (and not attached):
[1] compiler_3.4.2 tools_3.4.2   
> ColCLASS <- c(rep('integer', 2L), 'character', 'Date', 'numeric',
+               rep('integer', 3L), rep('character', 2L),
+               'integer', 'Date', rep('numeric', 2L), 'Date',
+               rep('numeric', 12L), rep('integer', 5),
+               rep('numeric', 3L), 'integer', 'character')
> SELCOL <- c(WHATEVER)
> DT <- fread('LargeFile.csv', header = TRUE, colClasses = ColCLASS, select = SELCOL, key = c('LoanID', 'Month'), verbose = TRUE)
Input contains no \n. Taking this to be a filename to open
[01] Check arguments
  Using 40 threads (omp_get_max_threads()=40, nth=40)
  NAstrings = [<<NA>>]
  None of the NAstrings look like numbers.
  show progress = 1
  0/1 column will be read as boolean
[02] Opening the file
  Opening file LargeFile.csv
  File opened, size = 6.355GB (6823372783 bytes).
  Memory mapped ok
[03] Detect and skip BOM
[04] Arrange mmap to be \0 terminated
  \n has been found in the data so any mixture of line endings is allowed other than \r-only line endings. This is common and ideal.
[05] Skipping initial rows if needed
  Positioned on line 1 starting: <<Orig_Year,Orig_Qtr,LoanID,Mont>>
[06] Detect separator, quoting rule, and ncolumns
  Detecting sep ...
  sep=','  with 100 lines of 37 fields using quote rule 0
  Detected 37 columns on line 1. This line is either column names or first data row. Line starts as: <<Orig_Year,Orig_Qtr,LoanID,Mont>>
  Quote rule picked = 0
  fill=false and the most number of columns found is 37
[07] Detect column types, good nrow estimate and whether first row is column names
  'header' changed by user from 'auto' to true
  Number of sampling jump points = 101 because (6823372781 bytes from row 1 to eof) / (2 * 12905 jump0size) == 264369
  Type codes (jump 000)    : 51AA7155A15A7111111111111771111177715  Quote rule 0
  Type codes (jump 001)    : 51AA7155A15A711111111111177111117771A  Quote rule 0
  Type codes (jump 008)    : 51AA7555A15A711111111111177111117771A  Quote rule 0
  Type codes (jump 009)    : 51AA7555AA5A71A155555557177111117775A  Quote rule 0
  Type codes (jump 042)    : 55AA7555AA5A71A155555557177111117775A  Quote rule 0
  Type codes (jump 064)    : 55AA7555AA5A71A1A5555557177111117775A  Quote rule 0
  Type codes (jump 100)    : 55AA7555AA5A71A1A5555557177111117775A  Quote rule 0
  =====
  Sampled 10049 rows (handled \n inside quoted fields) at 101 jump points
  Bytes from first data row on line 1 to the end of last row: 6823372781
  Line length: mean=126.15 sd=8.30 min=100 max=359
  Estimated number of rows: 6823372781 / 126.15 = 54088821
  Initial alloc = 62279495 rows (54088821 + 15%) using bytes/max(mean-2*sd,min) clamped between [1.1*estn, 2.0*estn]
  =====
[08] Assign column names
[09] Apply user overrides on column types
  After 4 type and 23 drop user overrides : 00AA700000000000000000070775555077750
[10] Allocate memory for the datatable
  Allocating 14 column slots (37 - 23 dropped) with 62279495 rows
[11] Read the data
  jumps=[0..6520), chunk_size=1046529, total_size=6823372422
|--------------------------------------------------|
|Error in fread("LargeFile.csv", header = TRUE, colClasses = ColCLASS,  : 
  unprotect_ptr: pointer not found

メールの@aadlerのおかげで、再現できるようになりました。 R 3.4.2、最新のRStudio1.1.383およびWindows10 Pro10.0.16299ビルド16299。

ここに記録されているRStudioで奇妙な動作が見られます：
https://www.youtube.com/watch?v=tl2x2vmZxMU
RStudioは入力するだけでGCを生成しているようです。 それはなぜですか、とにかくそれをオフにする方法はありますか？ fread()がプログレスバーを印刷しているとき、RStudioの個別のイベントループは、コンソールへの出力がユーザー入力であると考えており、GCを発生させてすべてをトリップするRを呼び出している可能性がありますか？ おそらく、ここのRStudioユーザーは、私を正しい方向に向けることができるか、 @ kevinusheyが戻ってきたのかもしれません（12月初旬にKevinと言ったのですが、今日は1日目です

RStudioコンソールでスタックの不均衡を確実に再現できます。 RStudioターミナルタブを使用すると、 gcinfo(TRUE)を使用しても、まったく再現できません。 興味深いことに、プログレスバーが印刷されているときにGCが発生しますが、Linuxでも問題ないので、問題ないようです。 RStudio Consoleのそのビデオの動作を考えると、これはRStudioConsoleのバグであるという結論に達しています。 RStudioターミナルウィンドウからテキストをコピーできなかったため（[編集]-> [コピー]は機能せず、Ctrl-Cも機能しません）、[ターミナル]タブのスクリーンショットを撮り、進行状況バーのGCに問題がないことを示しました。 マスタースレッドのみがREprintfを呼び出しており、他のスレッドはR APIをまったく呼び出していないため、問題はないと思います。

RStudioターミナルで正常に動作します：

プログレスバーが最初に印刷されているときにGCがあり、RStudioターミナルで正常に機能することに注意してください。 このテストファイルにはサンプル外のタイプの例外があり、それらの列のみの自動再読み取りがトリガーされるため、プログレスバーが2回印刷されます。

しかし、RStudioコンソールにはstack imbalanceまたはunprotect_ptr: pointer not foundいずれかがあります：

R version 3.4.2 (2017-09-28) -- "Short Summer"
> gcinfo(TRUE)
[1] FALSE
Garbage collection 22 = 16+3+3 (level 0) ... 
25.5 Mbytes of cons cells used (80%)
6.6 Mbytes of vectors used (66%)
Garbage collection 23 = 16+4+3 (level 1) ... 
24.9 Mbytes of cons cells used (79%)
6.5 Mbytes of vectors used (64%)
Garbage collection 24 = 17+4+3 (level 0) ... 
25.1 Mbytes of cons cells used (79%)
6.5 Mbytes of vectors used (64%)
Garbage collection 25 = 18+4+3 (level 0) ... 
25.1 Mbytes of cons cells used (79%)
6.5 Mbytes of vectors used (64%)
Garbage collection 26 = 19+4+3 (level 0) ... 
25.1 Mbytes of cons cells used (79%)
6.5 Mbytes of vectors used (65%)
Garbage collection 27 = 20+4+3 (level 0) ... 
25.2 Mbytes of cons cells used (80%)
6.5 Mbytes of vectors used (65%)
Garbage collection 28 = 20+5+3 (level 1) ... 
25.1 Mbytes of cons cells used (79%)
6.5 Mbytes of vectors used (65%)
Garbage collection 29 = 21+5+3 (level 0) ... 
25.1 Mbytes of cons cells used (79%)
6.5 Mbytes of vectors used (65%)
Garbage collection 30 = 22+5+3 (level 0) ... 
25.2 Mbytes of cons cells used (80%)
6.5 Mbytes of vectors used (65%)
Garbage collection 31 = 23+5+3 (level 0) ... 
25.2 Mbytes of cons cells used (80%)
6.6 Mbytes of vectors used (66%)
Garbage collection 32 = 24+5+3 (level 0) ... 
25.3 Mbytes of cons cells used (80%)
6.6 Mbytes of vectors used (66%)
Garbage collection 33 = 25+5+3 (level 0) ... 
25.4 Mbytes of cons cells used (80%)
6.7 Mbytes of vectors used (66%)
Garbage collection 34 = 25+5+4 (level 2) ... 
24.6 Mbytes of cons cells used (61%)
6.4 Mbytes of vectors used (50%)
Garbage collection 35 = 26+5+4 (level 0) ... 
25.0 Mbytes of cons cells used (62%)
6.5 Mbytes of vectors used (52%)
> require(data.table)
Loading required package: data.table
Garbage collection 36 = 27+5+4 (level 0) ... 
27.2 Mbytes of cons cells used (68%)
7.1 Mbytes of vectors used (56%)
data.table 1.10.5 IN DEVELOPMENT built 2017-12-02 01:04:34 UTC; appveyor
  The fastest way to learn (by data.table authors): https://www.datacamp.com/courses/data-analysis-the-data-table-way
  Documentation: ?data.table, example(data.table) and browseVignettes("data.table")
  Release notes, videos and slides: http://r-datatable.com
Garbage collection 37 = 28+5+4 (level 0) ... 
27.7 Mbytes of cons cells used (69%)
7.3 Mbytes of vectors used (58%)
Garbage collection 38 = 29+5+4 (level 0) ... 
28.0 Mbytes of cons cells used (70%)
7.4 Mbytes of vectors used (58%)
Garbage collection 39 = 30+5+4 (level 0) ... 
28.1 Mbytes of cons cells used (70%)
7.4 Mbytes of vectors used (59%)
Garbage collection 40 = 31+5+4 (level 0) ... 
28.2 Mbytes of cons cells used (70%)
7.5 Mbytes of vectors used (59%)
Garbage collection 41 = 32+5+4 (level 0) ... 
28.4 Mbytes of cons cells used (71%)
7.5 Mbytes of vectors used (59%)
> DT = fread("/Users/pasha/Downloads/LargeFile.csv")
Garbage collection 42 = 32+5+5 (level 2) ... 
27.4 Mbytes of cons cells used (54%)
7.1 Mbytes of vectors used (2%)
Garbage collection 43 = 32+5+6 (level 2) ... 
27.4 Mbytes of cons cells used (54%)
244.7 Mbytes of vectors used (42%)
Garbage collection 44 = 32+5+7 (level 2) ... 
27.4 Mbytes of cons cells used (54%)
482.3 Mbytes of vectors used (42%)
Garbage collection 45 = 32+5+8 (level 2) ... 
27.4 Mbytes of cons cells used (54%)
957.4 Mbytes of vectors used (56%)
Garbage collection 46 = 32+5+9 (level 2) ... 
27.4 Mbytes of cons cells used (54%)
1432.6 Mbytes of vectors used (63%)
Garbage collection 47 = 32+5+10 (level 2) ... 
27.4 Mbytes of cons cells used (54%)
2145.3 Mbytes of vectors used (75%)
Garbage collection 48 = 32+5+11 (level 2) ... 
27.4 Mbytes of cons cells used (54%)
2620.4 Mbytes of vectors used (71%)
Garbage collection 49 = 32+5+12 (level 2) ... 
27.4 Mbytes of cons cells used (54%)
3570.8 Mbytes of vectors used (78%)
Garbage collection 50 = 32+5+13 (level 2) ... 
27.4 Mbytes of cons cells used (54%)
4283.5 Mbytes of vectors used (75%)
Garbage collection 51 = 32+5+14 (level 2) ... 
27.4 Mbytes of cons cells used (54%)
5709.0 Mbytes of vectors used (77%)
Garbage collection 52 = 32+5+15 (level 2) ... 
27.4 Mbytes of cons cells used (54%)
7372.0 Mbytes of vectors used (81%)
Garbage collection 53 = 32+5+16 (level 2) ... 
27.4 Mbytes of cons cells used (54%)
8797.5 Mbytes of vectors used (79%)
Garbage collection 54 = 32+5+17 (level 2) ... 
27.4 Mbytes of cons cells used (54%)
10935.7 Mbytes of vectors used (80%)
|--------------------------------------------------|
|=====Error in fread("LargeFile.csv") : 
  unprotect_ptr: pointer not found
> 

showProgress=FALSEは、RStudioコンソールで確実に解決します。 再現するには、 showProgress=TRUE （つまりデフォルト）を使用して、新しいRStudioコンソールで最初に実行する必要があります。 プログレスメーター中にGCがあるかどうかに関連しているようです。 フレッシュセッションの最初の実行にあります。 プログレスメーターが表示されるように、大きなファイルである必要があります。 fread渡された再読み込みや引数とは何の関係もありません。 新しいRStudioコンソールでの最初の実行がshowProgress=FALSEで機能する場合、その実行はRのヒープを拡張し、同じセッションでのshowProgress=TRUE後続の実行も機能します。 しかし、最初の実行ですでにヒープが拡張されているため、プログレスメーター中にGCがないという理由だけで。
進行状況メーター中のマスタースレッドのGCがLinuxおよびWindowsRStudioターミナルで問題ないのに、RStudioコンソールでは問題がないのはなぜですか。

わかりました、これで修正されます。 問題は、RStudioではなくdata.table側にありました。 WindowsのRStudioコンソールで確実に動作するようになりました。 これはLinuxとMaxでも発生する可能性のある問題であり、メモリパターンがそれをトリガーしていなかっただけです。 他のスレッドにはRへのエントリポイントがあり（文字列列でバッファをプッシュする場合）、これはマスタースレッドの印刷がREprintfを使用して進行するのと同時に発生する可能性があります。 そのため、新しいセッションの最初の実行でのみ発生しました。 2回目以降の実行では、ファイル内のすべての文字列が以前に確認されていたため、キャッシュルックアップはヒット（スレッドセーフ）であり、割り当てではありません（スレッドセーフではありません）。

だから、 @ aadlerと@HughParsonage 、これを試してみ

警告はありません。他に何か探しているかどうかはわかりません。

> gcinfo(TRUE)
[1] FALSE
> fread("SA2-by-DJZ-2011.csv", verbose = TRUE, na.strings = "", header = FALSE)
Input contains no \n. Taking this to be a filename to open
[01] Check arguments
  Using 12 threads (omp_get_max_threads()=12, nth=12)
  NAstrings = [<<>>]
  None of the NAstrings look like numbers.
  show progress = 1
  0/1 column will be read as boolean
[02] Opening the file
  Opening file SA2-by-DJZ-2011.csv
  File opened, size = 349.4MB (366418725 bytes).
  Memory mapped ok
[03] Detect and skip BOM
[04] Arrange mmap to be \0 terminated
  \n has been found in the data so any mixture of line endings is allowed other than \r-only line endings. This is common and ideal.
[05] Skipping initial rows if needed
  Positioned on line 1 starting: <<Australian Bureau of Statistic>>
[06] Detect separator, quoting rule, and ncolumns
  Detecting sep ...
  sep=','  with 89 lines of 4 fields using quote rule 0
  Detected 4 columns on line 12. This line is either column names or first data row. Line starts as: <<"Goulburn","110018063",3499,>>
  Quote rule picked = 0
  fill=false and the most number of columns found is 4
[07] Detect column types, good nrow estimate and whether first row is column names
  'header' changed by user from 'auto' to false
  Number of sampling jump points = 101 because (366418375 bytes from row 1 to eof) / (2 * 1457 jump0size) == 125744
  Type codes (jump 000)    : 1551  Quote rule 0
  Type codes (jump 100)    : 1A51  Quote rule 0
  =====
  Sampled 10027 rows (handled \n inside quoted fields) at 101 jump points
  Bytes from first data row on line 12 to the end of last row: 366418143
  Line length: mean=16.02 sd=0.21 min=16 max=29
  Estimated number of rows: 366418143 / 16.02 = 22877178
  Initial alloc = 25164895 rows (22877178 + 9%) using bytes/max(mean-2*sd,min) clamped between [1.1*estn, 2.0*estn]
  =====
[08] Assign column names
[09] Apply user overrides on column types
  After 0 type and 0 drop user overrides : 1A51
[10] Allocate memory for the datatable
  Allocating 4 column slots (4 - 0 dropped) with 25164895 rows
Garbage collection 53 = 36+5+12 (level 2) ... 
30.3 Mbytes of cons cells used (60%)
7.9 Mbytes of vectors used (1%)
[11] Read the data
  jumps=[0..360), chunk_size=1017828, total_size=366418143
|--------------------------------------------------|
|==================================================|
Garbage collection 54 = 37+5+12 (level 0) ... 
30.8 Mbytes of cons cells used (61%)
566.6 Mbytes of vectors used (74%)
Garbage collection 55 = 37+6+12 (level 1) ... 
30.8 Mbytes of cons cells used (61%)
549.2 Mbytes of vectors used (72%)
  jumps=[0..360), chunk_size=1017828, total_size=366418143
|--------------------------------------------------|
|==================================================|
Read 22885380 rows x 4 columns from 349.4MB (366418725 bytes) file in 00:02.626 wall clock time
[12] Finalizing the datatable
  Type counts:
         1 : bool8     '1'
         1 : int32     '5'
         2 : string    'A'
=============================
   0.002s (  0%) Memory map 0.341GB file
   0.005s (  0%) sep=',' ncol=4 and header detection
   0.000s (  0%) Column type detection using 10027 sample rows
   0.469s ( 18%) Allocation of 25164895 rows x 4 cols (0.469GB) of which 22885380 ( 91%) rows used
   2.150s ( 82%) Reading 360 chunks of 0.971MB (63547 rows) using 12 threads
   =    0.103s (  4%) Finding first non-embedded \n after each jump
   +    0.230s (  9%) Parse to row-major thread buffers (grown 0 times)
   +    0.718s ( 27%) Transpose
   +    1.099s ( 42%) Waiting
   0.745s ( 28%) Rereading 1 columns due to out-of-sample type exceptions
   2.626s        Total
Column 1 ("") bumped from 'bool8' to 'string' due to <<"Goulburn">> on row 0
Garbage collection 56 = 37+6+13 (level 2) ... 
31.1 Mbytes of cons cells used (62%)
531.9 Mbytes of vectors used (70%)
Garbage collection 57 = 38+6+13 (level 0) ... 
31.1 Mbytes of cons cells used (62%)
532.0 Mbytes of vectors used (70%)
                V1        V2      V3 V4
       1: Goulburn 110018063    3499 NA
       2:       NA 110018064     812 NA
       3:       NA 110018065    2158 NA
       4:       NA 110019999     402 NA
       5:       NA 110028068      10 NA
      ---                              
22885376:       NA 997999799       0 NA
22885377:       NA 998999899      64 NA
22885378:       NA 994999499      34 NA
22885379:       NA 0&&&&&&&&  250796 NA
22885380:       NA 0@@@@@@@@ 7305367 NA
Warning messages:
1: In fread("SA2-by-DJZ-2011.csv", verbose = TRUE, na.strings = "",  :
  Starting data input on line 12 <<"Goulburn","110018063",3499,>> with 4 fields and discarding line 11 <<"Main Statistical Area Structu>> before it because it has a different number of fields (3).
2: In fread("SA2-by-DJZ-2011.csv", verbose = TRUE, na.strings = "",  :
  Found the last consistent line but text exists afterwards. Consider fill=TRUE and/or blank.lines.skip=TRUE. First 200 characters of discarded line: <<"Dataset: 2011 Census of Population and Housing">>

ありがとうヒュー。 うん、それは新しいRStudioコンソールセッションにあったと仮定すると、クリーンランです。 スタックの不均衡または「unprotect_ptr：pointer not found」メッセージの兆候はなく、進行状況メーターは正しく実行されています（この場合、再読み取りがあるため2回）。 確認するために@aadlerだけ

成功。

最初の実行、RStudioの新しいインスタンス。

> library(data.table)
data.table 1.10.5 IN DEVELOPMENT built 2017-12-02 12:05:42 UTC; appveyor
  The fastest way to learn (by data.table authors): https://www.datacamp.com/courses/data-analysis-the-data-table-way
  Documentation: ?data.table, example(data.table) and browseVignettes("data.table")
  Release notes, videos and slides: http://r-datatable.com
> sessionInfo()
R version 3.4.2 beta (2017-09-17 r73296)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows Server >= 2012 x64 (build 9200)

Matrix products: default

locale:
[1] LC_COLLATE=English_United States.1252  LC_CTYPE=English_United States.1252    LC_MONETARY=English_United States.1252
[4] LC_NUMERIC=C                           LC_TIME=English_United States.1252    

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
[1] data.table_1.10.5

loaded via a namespace (and not attached):
[1] compiler_3.4.2 tools_3.4.2   
> DT <- fread('LargeFile.csv', colClasses = colCLASS, select = colSEL, header = TRUE, key = c('LoanID', 'Month'), verbose = TRUE)
Input contains no \n. Taking this to be a filename to open
[01] Check arguments
  Using 40 threads (omp_get_max_threads()=40, nth=40)
  NAstrings = [<<NA>>]
  None of the NAstrings look like numbers.
  show progress = 1
  0/1 column will be read as boolean
[02] Opening the file
  Opening file LargeFile.csv
  File opened, size = 6.355GB (6823372783 bytes).
  Memory mapped ok
[03] Detect and skip BOM
[04] Arrange mmap to be \0 terminated
  \n has been found in the data so any mixture of line endings is allowed other than \r-only line endings. This is common and ideal.
[05] Skipping initial rows if needed
  Positioned on line 1 starting: <<Orig_Year,Orig_Qtr,LoanID,Mont>>
[06] Detect separator, quoting rule, and ncolumns
  Detecting sep ...
  sep=','  with 100 lines of 37 fields using quote rule 0
  Detected 37 columns on line 1. This line is either column names or first data row. Line starts as: <<Orig_Year,Orig_Qtr,LoanID,Mont>>
  Quote rule picked = 0
  fill=false and the most number of columns found is 37
[07] Detect column types, good nrow estimate and whether first row is column names
  'header' changed by user from 'auto' to true
  Number of sampling jump points = 101 because (6823372781 bytes from row 1 to eof) / (2 * 12905 jump0size) == 264369
  Type codes (jump 000)    : 51AA7155A15A7111111111111771111177715  Quote rule 0
  Type codes (jump 001)    : 51AA7155A15A711111111111177111117771A  Quote rule 0
  Type codes (jump 008)    : 51AA7555A15A711111111111177111117771A  Quote rule 0
  Type codes (jump 009)    : 51AA7555AA5A71A155555557177111117775A  Quote rule 0
  Type codes (jump 042)    : 55AA7555AA5A71A155555557177111117775A  Quote rule 0
  Type codes (jump 064)    : 55AA7555AA5A71A1A5555557177111117775A  Quote rule 0
  Type codes (jump 100)    : 55AA7555AA5A71A1A5555557177111117775A  Quote rule 0
  =====
  Sampled 10049 rows (handled \n inside quoted fields) at 101 jump points
  Bytes from first data row on line 1 to the end of last row: 6823372781
  Line length: mean=126.15 sd=8.30 min=100 max=359
  Estimated number of rows: 6823372781 / 126.15 = 54088821
  Initial alloc = 62279495 rows (54088821 + 15%) using bytes/max(mean-2*sd,min) clamped between [1.1*estn, 2.0*estn]
  =====
[08] Assign column names
[09] Apply user overrides on column types
  After 4 type and 23 drop user overrides : 00AA700000000000000000070775555077750
[10] Allocate memory for the datatable
  Allocating 14 column slots (37 - 23 dropped) with 62279495 rows
[11] Read the data
  jumps=[0..6520), chunk_size=1046529, total_size=6823372422
|--------------------------------------------------|
|==================================================|
Read 53945186 rows x 14 columns from 6.355GB (6823372783 bytes) file in 00:25.938 wall clock time
[12] Finalizing the datatable
  Type counts:
        23 : drop      '0'
         5 : int32     '5'
         7 : float64   '7'
         2 : string    'A'
=============================
   0.005s (  0%) Memory map 6.355GB file
   0.025s (  0%) sep=',' ncol=37 and header detection
   0.001s (  0%) Column type detection using 10049 sample rows
   4.681s ( 18%) Allocation of 62279495 rows x 37 cols (5.336GB) of which 53945186 ( 87%) rows used
  21.226s ( 82%) Reading 6520 chunks of 0.998MB (8295 rows) using 40 threads
   =    0.485s (  2%) Finding first non-embedded \n after each jump
   +    1.465s (  6%) Parse to row-major thread buffers (grown 0 times)
   +    9.095s ( 35%) Transpose
   +   10.181s ( 39%) Waiting
   0.000s (  0%) Rereading 0 columns due to out-of-sample type exceptions
  25.938s        Total

RStudioを閉じて再度開き、文字列キャッシュがアクティブ化されないようにして、 gcinfo(TRUE)を使用して再度実行しました。 ボーナスが追加され、IDateへの変換が完了しました（ただし、40秒以上かかりました:)）。

> colCLASS <- c(rep('integer', 2L), 'character', 'Date', 'numeric',
+               rep('integer', 3L), rep('character', 2L),
+               'integer', 'Date', rep('numeric', 2L), 'Date',
+               rep('numeric', 12L), rep('integer', 5),
+               rep('numeric', 3L), 'integer', 'character')
> library(data.table)
data.table 1.10.5 IN DEVELOPMENT built 2017-12-02 12:05:42 UTC; appveyor
  The fastest way to learn (by data.table authors): https://www.datacamp.com/courses/data-analysis-the-data-table-way
  Documentation: ?data.table, example(data.table) and browseVignettes("data.table")
  Release notes, videos and slides: http://r-datatable.com
> gcinfo(TRUE)
[1] FALSE
> sessionInfo()
R version 3.4.2 beta (2017-09-17 r73296)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows Server >= 2012 x64 (build 9200)

Matrix products: default

locale:
[1] LC_COLLATE=English_United States.1252  LC_CTYPE=English_United States.1252    LC_MONETARY=English_United States.1252
[4] LC_NUMERIC=C                           LC_TIME=English_United States.1252    

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
[1] data.table_1.10.5

loaded via a namespace (and not attached):
[1] compiler_3.4.2 tools_3.4.2   
Garbage collection 46 = 36+5+5 (level 0) ... 
38.6 Mbytes of cons cells used (77%)
11.2 Mbytes of vectors used (71%)
Garbage collection 47 = 37+5+5 (level 0) ... 
38.7 Mbytes of cons cells used (77%)
11.2 Mbytes of vectors used (71%)
Garbage collection 48 = 38+5+5 (level 0) ... 
38.8 Mbytes of cons cells used (77%)
11.2 Mbytes of vectors used (71%)
Garbage collection 49 = 39+5+5 (level 0) ... 
39.0 Mbytes of cons cells used (78%)
11.2 Mbytes of vectors used (71%)
Garbage collection 50 = 40+5+5 (level 0) ... 
39.1 Mbytes of cons cells used (78%)
11.3 Mbytes of vectors used (71%)
Garbage collection 51 = 40+6+5 (level 1) ... 
38.8 Mbytes of cons cells used (77%)
11.3 Mbytes of vectors used (71%)
Garbage collection 52 = 41+6+5 (level 0) ... 
38.9 Mbytes of cons cells used (77%)
11.3 Mbytes of vectors used (71%)
Garbage collection 53 = 42+6+5 (level 0) ... 
41.5 Mbytes of cons cells used (83%)
12.2 Mbytes of vectors used (77%)
Garbage collection 54 = 42+7+5 (level 1) ... 
43.4 Mbytes of cons cells used (86%)
12.8 Mbytes of vectors used (81%)
Garbage collection 55 = 42+7+6 (level 2) ... 
44.7 Mbytes of cons cells used (72%)
13.0 Mbytes of vectors used (67%)
Garbage collection 56 = 43+7+6 (level 0) ... 
46.5 Mbytes of cons cells used (74%)
13.6 Mbytes of vectors used (70%)
Garbage collection 57 = 44+7+6 (level 0) ... 
47.0 Mbytes of cons cells used (75%)
13.8 Mbytes of vectors used (71%)
Garbage collection 58 = 45+7+6 (level 0) ... 
47.4 Mbytes of cons cells used (76%)
13.9 Mbytes of vectors used (71%)
Garbage collection 59 = 46+7+6 (level 0) ... 
47.7 Mbytes of cons cells used (76%)
14.2 Mbytes of vectors used (73%)
Garbage collection 60 = 47+7+6 (level 0) ... 
48.0 Mbytes of cons cells used (77%)
14.2 Mbytes of vectors used (73%)
Garbage collection 61 = 48+7+6 (level 0) ... 
48.1 Mbytes of cons cells used (77%)
14.3 Mbytes of vectors used (73%)
> DT <- fread('LargeFile.csv', header = TRUE, colClasses = colCLASS, select = colSEL, key = c('LoanID', 'Month'), verbose = TRUE)
Input contains no \n. Taking this to be a filename to open
[01] Check arguments
  Using 40 threads (omp_get_max_threads()=40, nth=40)
  NAstrings = [<<NA>>]
  None of the NAstrings look like numbers.
  show progress = 1
  0/1 column will be read as boolean
[02] Opening the file
  Opening file LargeFile.csv
  File opened, size = 6.355GB (6823372783 bytes).
  Memory mapped ok
[03] Detect and skip BOM
[04] Arrange mmap to be \0 terminated
  \n has been found in the data so any mixture of line endings is allowed other than \r-only line endings. This is common and ideal.
[05] Skipping initial rows if needed
  Positioned on line 1 starting: <<Orig_Year,Orig_Qtr,LoanID,Mont>>
[06] Detect separator, quoting rule, and ncolumns
  Detecting sep ...
  sep=','  with 100 lines of 37 fields using quote rule 0
  Detected 37 columns on line 1. This line is either column names or first data row. Line starts as: <<Orig_Year,Orig_Qtr,LoanID,Mont>>
  Quote rule picked = 0
  fill=false and the most number of columns found is 37
[07] Detect column types, good nrow estimate and whether first row is column names
  'header' changed by user from 'auto' to true
  Number of sampling jump points = 101 because (6823372781 bytes from row 1 to eof) / (2 * 12905 jump0size) == 264369
  Type codes (jump 000)    : 51AA7155A15A7111111111111771111177715  Quote rule 0
  Type codes (jump 001)    : 51AA7155A15A711111111111177111117771A  Quote rule 0
  Type codes (jump 008)    : 51AA7555A15A711111111111177111117771A  Quote rule 0
  Type codes (jump 009)    : 51AA7555AA5A71A155555557177111117775A  Quote rule 0
  Type codes (jump 042)    : 55AA7555AA5A71A155555557177111117775A  Quote rule 0
  Type codes (jump 064)    : 55AA7555AA5A71A1A5555557177111117775A  Quote rule 0
  Type codes (jump 100)    : 55AA7555AA5A71A1A5555557177111117775A  Quote rule 0
  =====
  Sampled 10049 rows (handled \n inside quoted fields) at 101 jump points
  Bytes from first data row on line 1 to the end of last row: 6823372781
  Line length: mean=126.15 sd=8.30 min=100 max=359
  Estimated number of rows: 6823372781 / 126.15 = 54088821
  Initial alloc = 62279495 rows (54088821 + 15%) using bytes/max(mean-2*sd,min) clamped between [1.1*estn, 2.0*estn]
  =====
[08] Assign column names
[09] Apply user overrides on column types
  After 4 type and 23 drop user overrides : 00AA700000000000000000070775555077750
[10] Allocate memory for the datatable
  Allocating 14 column slots (37 - 23 dropped) with 62279495 rows
Garbage collection 62 = 48+7+7 (level 2) ... 
46.5 Mbytes of cons cells used (60%)
13.6 Mbytes of vectors used (2%)
Garbage collection 63 = 48+7+8 (level 2) ... 
46.5 Mbytes of cons cells used (60%)
488.7 Mbytes of vectors used (42%)
Garbage collection 64 = 48+7+9 (level 2) ... 
46.5 Mbytes of cons cells used (60%)
963.9 Mbytes of vectors used (56%)
Garbage collection 65 = 48+7+10 (level 2) ... 
46.5 Mbytes of cons cells used (60%)
1439.1 Mbytes of vectors used (63%)
Garbage collection 66 = 48+7+11 (level 2) ... 
46.5 Mbytes of cons cells used (60%)
1914.2 Mbytes of vectors used (67%)
Garbage collection 67 = 48+7+12 (level 2) ... 
46.5 Mbytes of cons cells used (60%)
2864.5 Mbytes of vectors used (77%)
Garbage collection 68 = 48+7+13 (level 2) ... 
46.5 Mbytes of cons cells used (60%)
3577.3 Mbytes of vectors used (78%)
Garbage collection 69 = 48+7+14 (level 2) ... 
46.5 Mbytes of cons cells used (60%)
4290.0 Mbytes of vectors used (75%)
[11] Read the data
  jumps=[0..6520), chunk_size=1046529, total_size=6823372422
|--------------------------------------------------|
|============================Garbage collection 70 = 49+7+14 (level 0) ... 
76.5 Mbytes of cons cells used (99%)
5487.5 Mbytes of vectors used (96%)
=Garbage collection 71 = 49+8+14 (level 1) ... 
77.0 Mbytes of cons cells used (100%)
5487.6 Mbytes of vectors used (96%)
Garbage collection 72 = 49+8+15 (level 2) ... 
77.0 Mbytes of cons cells used (81%)
5487.1 Mbytes of vectors used (80%)
==============Garbage collection 73 = 50+8+15 (level 0) ... 
94.3 Mbytes of cons cells used (100%)
5494.0 Mbytes of vectors used (80%)
Garbage collection 74 = 50+9+15 (level 1) ... 
94.5 Mbytes of cons cells used (100%)
5494.1 Mbytes of vectors used (80%)
Garbage collection 75 = 50+9+16 (level 2) ... 
94.5 Mbytes of cons cells used (82%)
5493.1 Mbytes of vectors used (67%)
=======|
Read 53945186 rows x 14 columns from 6.355GB (6823372783 bytes) file in 00:24.772 wall clock time
[12] Finalizing the datatable
  Type counts:
        23 : drop      '0'
         5 : int32     '5'
         7 : float64   '7'
         2 : string    'A'
=============================
   0.005s (  0%) Memory map 6.355GB file
   0.018s (  0%) sep=',' ncol=37 and header detection
   0.000s (  0%) Column type detection using 10049 sample rows
   5.496s ( 22%) Allocation of 62279495 rows x 37 cols (5.336GB) of which 53945186 ( 87%) rows used
  19.253s ( 78%) Reading 6520 chunks of 0.998MB (8295 rows) using 40 threads
   =    0.433s (  2%) Finding first non-embedded \n after each jump
   +    1.482s (  6%) Parse to row-major thread buffers (grown 0 times)
   +    9.515s ( 38%) Transpose
   +    7.822s ( 32%) Waiting
   0.000s (  0%) Rereading 0 columns due to out-of-sample type exceptions
  24.772s        Total
Garbage collection 76 = 51+9+16 (level 0) ... 
105.3 Mbytes of cons cells used (91%)
5500.3 Mbytes of vectors used (67%)
Garbage collection 77 = 51+10+16 (level 1) ... 
105.4 Mbytes of cons cells used (91%)
5500.2 Mbytes of vectors used (67%)
> DT[, Month := as.IDate(Month, format = "%Y-%m-%d")]
Garbage collection 78 = 51+10+17 (level 2) ... 
107.5 Mbytes of cons cells used (76%)
8174.1 Mbytes of vectors used (81%)
Garbage collection 79 = 51+11+17 (level 1) ... 
107.5 Mbytes of cons cells used (76%)
5910.4 Mbytes of vectors used (59%)
> gcinfo(FALSE)
[1] TRUE

驚くばかり！ ：tada：関係者全員、特に@mattdowleにとって素晴らしい仕事

「問題が解決するまで休暇をとる」という私の戦略はここでうまくいったようです:-)

他に確認する必要があるものはありますか、またはこの問題は解決されたと見なされますか？

@aadlerと@HughParsonageに感謝します！ 浮き彫り。
@kevinusheyハハ。 はい、それはdata.table側であり、現在は解決されています（PR＃2488）。 ありがとう。