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Jose Torres af4dc50280 [SPARK-24039][SS] Do continuous processing writes with multiple compute() calls 
## What changes were proposed in this pull request?

Do continuous processing writes with multiple compute() calls.

The current strategy (before this PR) is hacky; we just call next() on an iterator which has already returned hasNext = false, knowing that all the nodes we whitelist handle this properly. This will have to be changed before we can support more complex query plans. (In particular, I have a WIP https://github.com/jose-torres/spark/pull/13 which should be able to support aggregates in a single partition with minimal additional work.)

Most of the changes here are just refactoring to accommodate the new model. The behavioral changes are:

* The writer now calls prev.compute(split, context) once per epoch within the epoch loop.
* ContinuousDataSourceRDD now spawns a ContinuousQueuedDataReader which is shared across multiple calls to compute() for the same partition.

## How was this patch tested?

existing unit tests

Author: Jose Torres <torres.joseph.f+github@gmail.com>

Closes #21200 from jose-torres/noAggr.
2018-05-04 14:14:40 -07:00
..
catalyst [SPARK-24035][SQL] SQL syntax for Pivot 2018-05-03 17:05:02 -07:00
core [SPARK-24039][SS] Do continuous processing writes with multiple compute() calls 2018-05-04 14:14:40 -07:00
hive [SPARK-23489][SQL][TEST] HiveExternalCatalogVersionsSuite should verify the downloaded file 2018-05-03 15:15:05 +08:00
hive-thriftserver [SPARK-24110][THRIFT-SERVER] Avoid UGI.loginUserFromKeytab in STS 2018-05-03 09:28:14 +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 [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.