Description
There are a lot of bug fixes in the latest version of parquet (1.6.0rc7). E.g. PARQUET-136
It would be good to update Spark to use the latest parquet version.
The following changes are required:
diff --git a/pom.xml b/pom.xml
index 5ad39a9..095b519 100644
--- a/pom.xml
+++ b/pom.xml
@@ -132,7 +132,7 @@
<!-- Version used for internal directory structure -->
<hive.version.short>0.13.1</hive.version.short>
<derby.version>10.10.1.1</derby.version>
- <parquet.version>1.6.0rc3</parquet.version>
+ <parquet.version>1.6.0rc7</parquet.version>
<jblas.version>1.2.3</jblas.version>
<jetty.version>8.1.14.v20131031</jetty.version>
<orbit.version>3.0.0.v201112011016</orbit.version>
and
--- a/sql/core/src/main/scala/org/apache/spark/sql/parquet/ParquetTableOperations.scala +++ b/sql/core/src/main/scala/org/apache/spark/sql/parquet/ParquetTableOperations.scala @@ -480,7 +480,7 @@ private[parquet] class FilteringParquetRowInputFormat globalMetaData = new GlobalMetaData(globalMetaData.getSchema, mergedMetadata, globalMetaData.getCreatedBy) - val readContext = getReadSupport(configuration).init( + val readContext = ParquetInputFormat.getReadSupportInstance(configuration).init( new InitContext(configuration, globalMetaData.getKeyValueMetaData, globalMetaData.getSchema))
I am happy to prepare a pull request if necessary.
Attachments
Issue Links
- is duplicated by
-
SPARK-7117 SparkSQL and Spark sometimes throw exceptions when reading Parquet files.
-
- Resolved
-
-
SPARK-7340 Use latest parquet release 1.6.0 in spark
-
- Resolved
-
- links to
