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Kazuaki Ishizaki ab33028957 [SPARK-25178][SQL] Directly ship the StructType objects of the keySchema / valueSchema for xxxHashMapGenerator 
## What changes were proposed in this pull request?

This PR generates the code that to refer a `StructType` generated in the scala code instead of generating `StructType` in Java code.

The original code has two issues.
1. Avoid to used the field name such as `key.name`
1. Support complicated schema (e.g. nested DataType)

At first, [the JIRA entry](https://issues.apache.org/jira/browse/SPARK-25178) proposed to change the generated field name of the keySchema / valueSchema to a dummy name in `RowBasedHashMapGenerator` and `VectorizedHashMapGenerator.scala`. This proposal can addresse issue 1.

Ueshin suggested an approach to refer to a `StructType` generated in the scala code using `ctx.addReferenceObj()`. This approach can address issues 1 and 2. Finally, this PR uses this approach.

## How was this patch tested?

Existing UTs

Closes #22187 from kiszk/SPARK-25178.

Authored-by: Kazuaki Ishizaki <ishizaki@jp.ibm.com>
Signed-off-by: Takuya UESHIN <ueshin@databricks.com>
2018-08-24 14:58:55 +09:00
..
catalyst [SPARK-25029][BUILD][CORE] Janino "Two non-abstract methods ..." errors 2018-08-23 21:36:53 -07:00
core [SPARK-25178][SQL] Directly ship the StructType objects of the keySchema / valueSchema for xxxHashMapGenerator 2018-08-24 14:58:55 +09:00
hive [SPARK-23425][SQL] Support wildcard in HDFS path for load table command 2018-08-24 09:54:30 +08:00
hive-thriftserver [SPARK-25043] print master and appId from spark-sql on startup 2018-08-14 13:15:55 -05:00
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.