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https://issues.apache.org/jira/browse/PARQUET-2117?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17498141#comment-17498141
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ASF GitHub Bot commented on PARQUET-2117:
-----------------------------------------

shangxinli commented on a change in pull request #945:
URL: https://github.com/apache/parquet-mr/pull/945#discussion_r814791362



##########
File path: 
parquet-hadoop/src/main/java/org/apache/parquet/format/converter/ParquetMetadataConverter.java
##########
@@ -1476,6 +1509,13 @@ public ParquetMetadata fromParquetMetadata(FileMetaData 
parquetMetadata) throws
 
   public ParquetMetadata fromParquetMetadata(FileMetaData parquetMetadata,
       InternalFileDecryptor fileDecryptor, boolean encryptedFooter) throws 
IOException {
+    return fromParquetMetadata(parquetMetadata, fileDecryptor, 
encryptedFooter, generateRowGroupOffsets(parquetMetadata));

Review comment:
       As you mentioned above, if parquetMetadata is a filtered one, then 
generateRowGroupOffsets() won't return accurate offsets, correct?




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> Add rowPosition API in parquet record readers
> ---------------------------------------------
>
>                 Key: PARQUET-2117
>                 URL: https://issues.apache.org/jira/browse/PARQUET-2117
>             Project: Parquet
>          Issue Type: New Feature
>          Components: parquet-mr
>            Reporter: Prakhar Jain
>            Priority: Major
>             Fix For: 1.13.0
>
>
> Currently the parquet-mr RecordReader/ParquetFileReader exposes API’s to read 
> parquet file in columnar fashion or record-by-record.
> It will be great to extend them to also support rowPosition API which can 
> tell the position of the current record in the parquet file.
> The rowPosition can be used as a unique row identifier to mark a row. This 
> can be useful to create an index (e.g. B+ tree) over a parquet file/parquet 
> table (e.g.  Spark/Hive).
> There are multiple projects in the parquet eco-system which can benefit from 
> such a functionality: 
>  # Apache Iceberg needs this functionality. It has this implementation 
> already as it relies on low level parquet APIs -  
> [Link1|https://github.com/apache/iceberg/blob/apache-iceberg-0.12.1/parquet/src/main/java/org/apache/iceberg/parquet/ReadConf.java#L171],
>  
> [Link2|https://github.com/apache/iceberg/blob/d4052a73f14b63e1f519aaa722971dc74f8c9796/core/src/main/java/org/apache/iceberg/MetadataColumns.java#L37]
>  # Apache Spark can use this functionality - SPARK-37980



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