[jira] [Created] (SPARK-15916) JDBC AND/OR operator push down does not respect lower OR operator precedence

["Piotr Czarnas (JIRA)" <ji...@apache.org>]

Piotr Czarnas created SPARK-15916:
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             Summary: 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')




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