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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