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Gengliang Wang e39e97b73a [SPARK-27699][SQL] Partially push down disjunctive predicated in Parquet/ORC 
## What changes were proposed in this pull request?

Currently, in `ParquetFilters` and `OrcFilters`, if the child predicate of `Or` operator can't be entirely pushed down, the predicates will be thrown away.
In fact, the conjunctive predicates under `Or` operators can be partially pushed down.
For example, says `a` and `b` are convertible, while `c` can't be pushed down, the predicate
`a or (b and c)`
can be converted as
`(a or b) and (a or c)`
We can still push down `(a or b)`.
We can't push down disjunctive predicates only when one of its children is not partially convertible.

This PR also improve the filter pushing down logic in `DataSourceV2Strategy`. With partial filter push down in `Or` operator, the result of `pushedFilters()` might not exist in the mapping `translatedFilterToExpr`.  To fix it, this PR changes the mapping `translatedFilterToExpr` as leaf filter expression to `sources.filter`, and later on rebuild the whole expression with the mapping.
## How was this patch tested?

Unit test

Closes #24598 from gengliangwang/pushdownDisjunctivePredicates.

Authored-by: Gengliang Wang <gengliang.wang@databricks.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
2019-05-17 19:25:24 +08:00
..
catalyst [SPARK-27576][SQL] table capability to skip the output column resolution 2019-05-16 16:24:53 -07:00
core [SPARK-27699][SQL] Partially push down disjunctive predicated in Parquet/ORC 2019-05-17 19:25:24 +08:00
hive [SPARK-27699][SQL] Partially push down disjunctive predicated in Parquet/ORC 2019-05-17 19:25:24 +08:00
hive-thriftserver [SPARK-27354][SQL] Move incompatible code from the hive-thriftserver module to sql/hive-thriftserver/v1.2.1 2019-05-15 14:52:08 -07:00
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-27328][SQL] Add 'deprecated' in ExpressionDescription for extended usage and SQL doc 2019-04-09 13:49:42 +08:00
mkdocs.yml [SPARK-21485][SQL][DOCS] Spark SQL documentation generation for built-in functions 2017-07-26 09:38:51 -07:00
README.md [MINOR][DOC] Fix some typos and grammar issues 2018-04-06 13:37:08 +08:00

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 allow 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.