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Tejas Patil 682eb4f2ea [SPARK-22042][SQL] ReorderJoinPredicates can break when child's partitioning is not decided 
## What changes were proposed in this pull request?

See jira description for the bug : https://issues.apache.org/jira/browse/SPARK-22042

Fix done in this PR is:  In `EnsureRequirements`, apply `ReorderJoinPredicates` over the input tree before doing its core logic. Since the tree is transformed bottom-up, we can assure that the children are resolved before doing `ReorderJoinPredicates`.

Theoretically this will guarantee to cover all such cases while keeping the code simple. My small grudge is for cosmetic reasons. This PR will look weird given that we don't call rules from other rules (not to my knowledge). I could have moved all the logic for `ReorderJoinPredicates` into `EnsureRequirements` but that will make it a but crowded. I am happy to discuss if there are better options.

## How was this patch tested?

Added a new test case

Author: Tejas Patil <tejasp@fb.com>

Closes #19257 from tejasapatil/SPARK-22042_ReorderJoinPredicates.
2017-12-12 23:30:06 -08:00
..
catalyst [SPARK-21322][SQL][FOLLOWUP] support histogram in filter cardinality estimation 2017-12-13 14:49:15 +08:00
core [SPARK-22042][SQL] ReorderJoinPredicates can break when child's partitioning is not decided 2017-12-12 23:30:06 -08:00
hive [SPARK-19809][SQL][TEST][FOLLOWUP] Move the test case to HiveOrcQuerySuite 2017-12-12 22:41:38 -08:00
hive-thriftserver Revert "[SPARK-22496][SQL] thrift server adds operation logs" 2017-12-11 13:08:42 -08:00
create-docs.sh [MINOR][DOCS] Minor doc fixes related with doc build and uses script dir in SQL doc gen script 2017-08-26 13:56:24 +09:00
gen-sql-markdown.py [SPARK-21485][FOLLOWUP][SQL][DOCS] Describes examples and arguments separately, and note/since in SQL built-in function documentation 2017-08-05 10:10:56 -07:00
mkdocs.yml [SPARK-21485][SQL][DOCS] Spark SQL documentation generation for built-in functions 2017-07-26 09:38:51 -07:00
README.md [SPARK-21485][SQL][DOCS] Spark SQL documentation generation for built-in functions 2017-07-26 09:38:51 -07:00

README.md

Spark SQL

This module provides support for executing relational queries expressed in either SQL or the DataFrame/Dataset API.

Spark SQL is broken up into four subprojects:

  • Catalyst (sql/catalyst) - An implementation-agnostic framework for manipulating trees of relational operators and expressions.
  • Execution (sql/core) - A query planner / execution engine for translating Catalyst's logical query plans into Spark RDDs. This component also includes a new public interface, SQLContext, that allows users to execute SQL or LINQ statements against existing RDDs and Parquet files.
  • Hive Support (sql/hive) - Includes an extension of SQLContext called HiveContext that allows users to write queries using a subset of HiveQL and access data from a Hive Metastore using Hive SerDes. There are also wrappers that allows users to run queries that include Hive UDFs, UDAFs, and UDTFs.
  • HiveServer and CLI support (sql/hive-thriftserver) - Includes support for the SQL CLI (bin/spark-sql) and a HiveServer2 (for JDBC/ODBC) compatible server.

Running sql/create-docs.sh generates SQL documentation for built-in functions under sql/site.