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Sameer Agarwal ac27557eb6 [SPARK-17228][SQL] Not infer/propagate non-deterministic constraints 
## What changes were proposed in this pull request?

Given that filters based on non-deterministic constraints shouldn't be pushed down in the query plan, unnecessarily inferring them is confusing and a source of potential bugs. This patch simplifies the inferring logic by simply ignoring them.

## How was this patch tested?

Added a new test in `ConstraintPropagationSuite`.

Author: Sameer Agarwal <sameerag@cs.berkeley.edu>

Closes #14795 from sameeragarwal/deterministic-constraints.
2016-08-24 21:24:24 -07:00
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catalyst [SPARK-17228][SQL] Not infer/propagate non-deterministic constraints 2016-08-24 21:24:24 -07:00
core [SPARK-16216][SQL] Read/write timestamps and dates in ISO 8601 and dateFormat/timestampFormat option for CSV and JSON 2016-08-24 22:16:20 +02:00
hive [SPARK-16216][SQL] Read/write timestamps and dates in ISO 8601 and dateFormat/timestampFormat option for CSV and JSON 2016-08-24 22:16:20 +02:00
hive-thriftserver [SPARK-16941] Use concurrentHashMap instead of scala Map in SparkSQLOperationManager. 2016-08-11 11:28:28 +01:00
README.md [SPARK-16557][SQL] Remove stale doc in sql/README.md 2016-07-14 19:24:42 -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.