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jtoka 2e1fd46e12 [SPARK-20296][TRIVIAL][DOCS] Count distinct error message for streaming 
## What changes were proposed in this pull request?
Update count distinct error message for streaming datasets/dataframes to match current behavior. These aggregations are not yet supported, regardless of whether the dataset/dataframe is aggregated.

Author: jtoka <jason.tokayer@gmail.com>

Closes #17609 from jtoka/master.
2017-04-12 11:36:08 +01:00
..
catalyst [SPARK-20296][TRIVIAL][DOCS] Count distinct error message for streaming 2017-04-12 11:36:08 +01:00
core [MINOR][DOCS] JSON APIs related documentation fixes 2017-04-12 09:16:39 +01:00
hive [SPARK-19993][SQL] Caching logical plans containing subquery expressions does not work. 2017-04-12 12:18:01 +08:00
hive-thriftserver [SPARK-20156][CORE][SQL][STREAMING][MLLIB] Java String toLowerCase "Turkish locale bug" causes Spark problems 2017-04-10 20:11:56 +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.