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[SPARK-17354][SQL] Partitioning by dates/timestamps should work with Parquet vectorized reader - #14919
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HyukjinKwon wants to merge 3 commits into
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[SPARK-17354][SQL] Partitioning by dates/timestamps should work with Parquet vectorized reader#14919HyukjinKwon wants to merge 3 commits into
HyukjinKwon wants to merge 3 commits into
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SparkQA
commented
Sep 1, 2016
Test build #64780 has finished for PR 14919 at commit
|
sameeragarwal
commented
Sep 3, 2016
Member
@HyukjinKwon can we add a more targeted unit test in one of the vectorized reader test suites that can explicitly test for partitioned columns? |
HyukjinKwon
commented
Sep 3, 2016
MemberAuthor
@sameeragarwal Thanks for your comment. Yeap, I will. |
HyukjinKwon
commented
Sep 3, 2016
MemberAuthor
@sameeragarwal Could you take another look please? |
SparkQA
commented
Sep 3, 2016
Test build #64891 has finished for PR 14919 at commit
|
SparkQA
commented
Sep 4, 2016
Test build #64909 has finished for PR 14919 at commit
|
MemberAuthor
@davies Do you mind if I ask to review please? |
sameeragarwal
commented
Sep 6, 2016
Member
LGTM, thanks @HyukjinKwon! cc @davies |
HyukjinKwon
commented
Sep 7, 2016
MemberAuthor
Thanks @sameeragarwal ! |
davies
commented
Sep 9, 2016
Contributor
LGTM, merging into master and 2.0 branch, thanks! |
asfgit pushed a commit
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Sep 9, 2016
… Parquet vectorized reader This PR fixes `ColumnVectorUtils.populate` so that Parquet vectorized reader can read partitioned table with dates/timestamps. This works fine with Parquet normal reader. This is being only called within [VectorizedParquetRecordReader.java#L185](https://github.com/apache/spark/blob/master/sql/core/src/main/java/org/apache/spark/sql/execution/datasources/parquet/VectorizedParquetRecordReader.java#L185). When partition column types are explicitly given to `DateType` or `TimestampType` (rather than inferring the type of partition column), this fails with the exception below: ``` 16/09/01 10:30:07 ERROR Executor: Exception in task 0.0 in stage 5.0 (TID 6) java.lang.ClassCastException: java.lang.Integer cannot be cast to java.sql.Date at org.apache.spark.sql.execution.vectorized.ColumnVectorUtils.populate(ColumnVectorUtils.java:89) at org.apache.spark.sql.execution.datasources.parquet.VectorizedParquetRecordReader.initBatch(VectorizedParquetRecordReader.java:185) at org.apache.spark.sql.execution.datasources.parquet.VectorizedParquetRecordReader.initBatch(VectorizedParquetRecordReader.java:204) at org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat$$anonfun$buildReader$1.apply(ParquetFileFormat.scala:362) ... ``` Unit tests in `SQLQuerySuite`. Author: hyukjinkwon <gurwls223@gmail.com> Closes#14919 from HyukjinKwon/SPARK-17354. (cherry picked from commit f7d2143) Signed-off-by: Davies Liu <davies.liu@gmail.com>
wgtmac pushed a commit
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Sep 19, 2016
… Parquet vectorized reader ## What changes were proposed in this pull request? This PR fixes `ColumnVectorUtils.populate` so that Parquet vectorized reader can read partitioned table with dates/timestamps. This works fine with Parquet normal reader. This is being only called within [VectorizedParquetRecordReader.java#L185](https://github.com/apache/spark/blob/master/sql/core/src/main/java/org/apache/spark/sql/execution/datasources/parquet/VectorizedParquetRecordReader.java#L185). When partition column types are explicitly given to `DateType` or `TimestampType` (rather than inferring the type of partition column), this fails with the exception below: ``` 16/09/01 10:30:07 ERROR Executor: Exception in task 0.0 in stage 5.0 (TID 6) java.lang.ClassCastException: java.lang.Integer cannot be cast to java.sql.Date at org.apache.spark.sql.execution.vectorized.ColumnVectorUtils.populate(ColumnVectorUtils.java:89) at org.apache.spark.sql.execution.datasources.parquet.VectorizedParquetRecordReader.initBatch(VectorizedParquetRecordReader.java:185) at org.apache.spark.sql.execution.datasources.parquet.VectorizedParquetRecordReader.initBatch(VectorizedParquetRecordReader.java:204) at org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat$$anonfun$buildReader$1.apply(ParquetFileFormat.scala:362) ... ``` ## How was this patch tested? Unit tests in `SQLQuerySuite`. Author: hyukjinkwon <gurwls223@gmail.com> Closesapache#14919 from HyukjinKwon/SPARK-17354.
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What changes were proposed in this pull request?
This PR fixes
ColumnVectorUtils.populateso that Parquet vectorized reader can read partitioned table with dates/timestamps. This works fine with Parquet normal reader.This is being only called within VectorizedParquetRecordReader.java#L185.
When partition column types are explicitly given to
DateTypeorTimestampType(rather than inferring the type of partition column), this fails with the exception below:How was this patch tested?
Unit tests in
SQLQuerySuite.