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Jungtaek Lim (HeartSaVioR) 782992c7ed [SPARK-29642][SS] Change the element type of underlying array to UnsafeRow for ContinuousRecordEndpoint 
### What changes were proposed in this pull request?

This patch fixes the bug that `ContinuousMemoryStream[String]` throws error regarding ClassCastException - cast String to UTFString. This is because ContinuousMemoryStream and ContinuousRecordEndpoint uses origin input as it is for underlying data structure of Row, and encoding is missing here.

To force encoding, this patch changes the element type of underlying array to UnsafeRow instead of Any for ContinuousRecordEndpoint - ContinuousMemoryStream and TextSocketContinuousStream are modified to reflect the change.

### Why are the changes needed?

Above section describes the bug.

### Does this PR introduce any user-facing change?

No.

### How was this patch tested?

Add new UT to check for availability on couple of types.

Closes #26300 from HeartSaVioR/SPARK-29642.

Authored-by: Jungtaek Lim (HeartSaVioR) <kabhwan.opensource@gmail.com>
Signed-off-by: Marcelo Vanzin <vanzin@cloudera.com>
2019-11-06 10:37:00 -08:00
..
catalyst [SPARK-29462] The data type of "array()" should be array<null> 2019-11-06 18:39:46 +09:00
core [SPARK-29642][SS] Change the element type of underlying array to UnsafeRow for ContinuousRecordEndpoint 2019-11-06 10:37:00 -08:00
hive Revert "Prepare Spark release v3.0.0-preview-rc2" 2019-10-30 17:45:44 -07:00
hive-thriftserver [SPARK-29725][SQL][TESTS] Add ThriftServerPageSuite 2019-11-06 20:59:45 +09:00
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 [SPARK-28980][CORE][SQL][STREAMING][MLLIB] Remove most items deprecated in Spark 2.2.0 or earlier, for Spark 3 2019-09-09 10:19:40 -05:00

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 extensions that allow 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.