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Posted to issues@spark.apache.org by "Cheng Lian (JIRA)" <ji...@apache.org> on 2015/10/16 20:22:06 UTC
[jira] [Created] (SPARK-11153) Turns off Parquet filter push-down
for string and binary columns
Cheng Lian created SPARK-11153:
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Summary: Turns off Parquet filter push-down for string and binary columns
Key: SPARK-11153
URL: https://issues.apache.org/jira/browse/SPARK-11153
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 1.5.1, 1.5.0
Reporter: Cheng Lian
Assignee: Cheng Lian
Priority: Critical
Due to PARQUET-251, {{BINARY}} columns in existing Parquet files may be written with corrupted statistics information. This information is used by filter push-down optimization. Since Spark 1.5 turns on Parquet filter push-down by default, we may end up with wrong query results. PARQUET-251 has been fixed in parquet-mr 1.8.1, but Spark 1.5 is still using 1.7.0.
This affects all Spark SQL data types that can be mapped to Parquet {{BINARY}}, namely:
- {{StringType}}
- {{BinaryType}}
- {{DecimalType}} (but Spark SQL doesn't support pushing down {{DecimalType}} columns for now.)
To avoid wrong query results, we should disable filter push-down for columns of {{StringType}} and {{BinaryType}} until we upgrade to parquet-mr 1.8.
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