GitHub user liancheng opened a pull request: https://github.com/apache/spark/pull/16106
[SPARK-17213][SQL] Disable Parquet filter push-down for string and binary columns due to PARQUET-686 ## What changes were proposed in this pull request? Due to PARQUET-686, Parquet doesn't do string comparison correctly while doing filter push-down for string columns. This PR disables filter push-down for both string and binary columns to work around this issue. Binary columns are also affected because some Parquet data models (like Hive) may store string columns as a plain Parquet `binary` instead of a `binary (UTF8)`. ## How was this patch tested? New test case added in `ParquetFilterSuite`. You can merge this pull request into a Git repository by running: $ git pull https://github.com/liancheng/spark spark-17213-bad-string-ppd Alternatively you can review and apply these changes as the patch at: https://github.com/apache/spark/pull/16106.patch To close this pull request, make a commit to your master/trunk branch with (at least) the following in the commit message: This closes #16106 ---- commit d7162bfdb2a4389ea08cbb0d3627a429de6d7c45 Author: Cheng Lian <l...@databricks.com> Date: 2016-12-01T19:52:20Z Add test case commit 810c1533ae9ba959e9696a806b22e19f8d0b5c31 Author: Cheng Lian <l...@databricks.com> Date: 2016-12-01T19:54:09Z Disable Parquet filter push-down for string and binary columns commit ce71cca44009d2f8508e02291ac6872b680cd28a Author: Cheng Lian <l...@databricks.com> Date: 2016-12-01T19:59:37Z Test more string comparison operators ---- --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org