Yin Huai created SPARK-6016:
-------------------------------
Summary: Cannot read the parquet table after overwriting the
existing table when spark.sql.parquet.cacheMetadata=true
Key: SPARK-6016
URL: https://issues.apache.org/jira/browse/SPARK-6016
Project: Spark
Issue Type: Bug
Components: SQL
Reporter: Yin Huai
Priority: Blocker
saveAsTable is fine and seems we have successfully deleted the old data and
written the new data. However, when reading the newly created table, an error
will be thrown.
{code}
Error in SQL statement: java.lang.RuntimeException: java.lang.RuntimeException:
could not merge metadata: key org.apache.spark.sql.parquet.row.metadata has
conflicting values:
at parquet.hadoop.api.InitContext.getMergedKeyValueMetaData(InitContext.java:67)
at parquet.hadoop.api.ReadSupport.init(ReadSupport.java:84)
at
org.apache.spark.sql.parquet.FilteringParquetRowInputFormat.getSplits(ParquetTableOperations.scala:469)
at
parquet.hadoop.ParquetInputFormat.getSplits(ParquetInputFormat.java:245)
at
org.apache.spark.sql.parquet.ParquetRelation2$$anon$1.getPartitions(newParquet.scala:461)
...
{code}
If I set spark.sql.parquet.cacheMetadata to false, it's fine to query the data.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
