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https://issues.apache.org/jira/browse/PARQUET-2149?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17557373#comment-17557373
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ASF GitHub Bot commented on PARQUET-2149:
-----------------------------------------
ggershinsky commented on code in PR #968:
URL: https://github.com/apache/parquet-mr/pull/968#discussion_r903592957
##########
parquet-hadoop/src/main/java/org/apache/parquet/hadoop/ParquetFileReader.java:
##########
@@ -126,6 +127,42 @@ public class ParquetFileReader implements Closeable {
public static String PARQUET_READ_PARALLELISM =
"parquet.metadata.read.parallelism";
+ public static int numProcessors = Runtime.getRuntime().availableProcessors();
+
+ // Thread pool to read column chunk data from disk. Applications should call
setAsyncIOThreadPool
+ // to initialize this with their own implementations.
+ // Default initialization is useful only for testing
+ public static ExecutorService ioThreadPool = Executors.newCachedThreadPool(
+ r -> new Thread(r, "parquet-io"));
+
+ // Thread pool to process pages for multiple columns in parallel.
Applications should call
+ // setAsyncProcessThreadPool to initialize this with their own
implementations.
+ // Default initialization is useful only for testing
+ public static ExecutorService processThreadPool =
Executors.newCachedThreadPool(
Review Comment:
given the comment "Default initialization is useful only for testing", maybe
this can be moved to the tests?
> Implement async IO for Parquet file reader
> ------------------------------------------
>
> Key: PARQUET-2149
> URL: https://issues.apache.org/jira/browse/PARQUET-2149
> Project: Parquet
> Issue Type: Improvement
> Components: parquet-mr
> Reporter: Parth Chandra
> Priority: Major
>
> ParquetFileReader's implementation has the following flow (simplified) -
> - For every column -> Read from storage in 8MB blocks -> Read all
> uncompressed pages into output queue
> - From output queues -> (downstream ) decompression + decoding
> This flow is serialized, which means that downstream threads are blocked
> until the data has been read. Because a large part of the time spent is
> waiting for data from storage, threads are idle and CPU utilization is really
> low.
> There is no reason why this cannot be made asynchronous _and_ parallel. So
> For Column _i_ -> reading one chunk until end, from storage -> intermediate
> output queue -> read one uncompressed page until end -> output queue ->
> (downstream ) decompression + decoding
> Note that this can be made completely self contained in ParquetFileReader and
> downstream implementations like Iceberg and Spark will automatically be able
> to take advantage without code change as long as the ParquetFileReader apis
> are not changed.
> In past work with async io [Drill - async page reader
> |https://github.com/apache/drill/blob/master/exec/java-exec/src/main/java/org/apache/drill/exec/store/parquet/columnreaders/AsyncPageReader.java]
> , I have seen 2x-3x improvement in reading speed for Parquet files.
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