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Hyukjin Kwon commented on SPARK-15916: -------------------------------------- Indeed. Do you mind if I submit a PR for this? > JDBC AND/OR operator push down does not respect lower OR operator precedence > ---------------------------------------------------------------------------- > > Key: SPARK-15916 > URL: https://issues.apache.org/jira/browse/SPARK-15916 > Project: Spark > Issue Type: Bug > Components: SQL > Affects Versions: 2.0.0 > Reporter: Piotr Czarnas > > A table from sql server Northwind database was registered as a JDBC dataframe. > A query was executed on Spark SQL, the "northwind_dbo_Categories" table is a > temporary table which is a JDBC dataframe to "[northwind].[dbo].[Categories]" > sql server table: > SQL executed on Spark sql context: > SELECT CategoryID FROM northwind_dbo_Categories > WHERE (CategoryID = 1 OR CategoryID = 2) AND CategoryName = 'Beverages' > Spark has done a proper predicate pushdown to JDBC, however parenthesis > around two OR conditions was removed. Instead the following query was sent > over JDBC to SQL Server: > SELECT "CategoryID" FROM [northwind].[dbo].[Categories] WHERE (CategoryID = > 1) OR (CategoryID = 2) AND CategoryName = 'Beverages' > As a result, the last two conditions (around the AND operator) were > considered as the highest precedence: (CategoryID = 2) AND CategoryName = > 'Beverages' > Finally SQL Server has executed a query like this: > SELECT "CategoryID" FROM [northwind].[dbo].[Categories] WHERE CategoryID = 1 > OR (CategoryID = 2 AND CategoryName = 'Beverages') -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org