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https://issues.apache.org/jira/browse/PARQUET-2171?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17789285#comment-17789285
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ASF GitHub Bot commented on PARQUET-2171:
-----------------------------------------
wangyum commented on code in PR #1139:
URL: https://github.com/apache/parquet-mr/pull/1139#discussion_r1403826524
##########
parquet-hadoop/README.md:
##########
@@ -501,3 +501,11 @@ If `false`, key material is stored in separate new files,
created in the same fo
**Description:** Length of key encryption keys (KEKs), randomly generated by
parquet key management tools. Can be 128, 192 or 256 bits.
**Default value:** `128`
+---
+
+**Property:** `parquet.hadoop.vectored.io.enabled`
+**Description:** Flag to enable use of the FileSystem Vector IO API on Hadoop
releases which support the feature.
+If `true` then an attempt will be made to dynamically load the relevant
classes;
Review Comment:
Does this feature need to upgrade NameNode and DataNode?
> Implement vectored IO in parquet file format
> --------------------------------------------
>
> Key: PARQUET-2171
> URL: https://issues.apache.org/jira/browse/PARQUET-2171
> Project: Parquet
> Issue Type: New Feature
> Components: parquet-mr
> Reporter: Mukund Thakur
> Priority: Major
>
> We recently added a new feature called vectored IO in Hadoop for improving
> read performance for seek heavy readers. Spark Jobs and others which uses
> parquet will greatly benefit from this api. Details can be found here
> [https://github.com/apache/hadoop/commit/e1842b2a749d79cbdc15c524515b9eda64c339d5]
> https://issues.apache.org/jira/browse/HADOOP-18103
> https://issues.apache.org/jira/browse/HADOOP-11867
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