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https://issues.apache.org/jira/browse/PARQUET-2149?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17555935#comment-17555935
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ASF GitHub Bot commented on PARQUET-2149:
-----------------------------------------

shangxinli commented on code in PR #968:
URL: https://github.com/apache/parquet-mr/pull/968#discussion_r900993899


##########
parquet-hadoop/src/main/java/org/apache/parquet/HadoopReadOptions.java:
##########
@@ -61,9 +65,10 @@ private HadoopReadOptions(boolean useSignedStringMinMax,
                             Configuration conf,
                             FileDecryptionProperties fileDecryptionProperties) 
{
     super(
-        useSignedStringMinMax, useStatsFilter, useDictionaryFilter, 
useRecordFilter, useColumnIndexFilter,
-        usePageChecksumVerification, useBloomFilter, recordFilter, 
metadataFilter, codecFactory, allocator,
-        maxAllocationSize, properties, fileDecryptionProperties
+      useSignedStringMinMax, useStatsFilter, useDictionaryFilter, 
useRecordFilter,

Review Comment:
   it seems two spaces were removed. 





> 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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