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Cheng Su 5c1567ba97 [SPARK-35363][SQL][FOLLOWUP] Use fresh name for findNextJoinRows instead of hardcoding it 
### What changes were proposed in this pull request?

This is a followup from discussion in https://github.com/apache/spark/pull/32495#discussion_r632283178 . The hardcoded function name `findNextJoinRows` is not a real problem now as we always do code generation for SMJ's children separately. But this change is to make it future proof in case this assumption changed in the future.

### Why are the changes needed?

Fix the potential reliability issue.

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

No.

### How was this patch tested?

Existing unit tests.

Closes #32548 from c21/smj-followup.

Authored-by: Cheng Su <chengsu@fb.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
2021-05-16 10:49:31 -07:00
..
catalyst [SPARK-35384][SQL][FOLLOWUP] Move HashMap.get out of InvokeLike.invoke 2021-05-14 14:00:39 -07:00
core [SPARK-35363][SQL][FOLLOWUP] Use fresh name for findNextJoinRows instead of hardcoding it 2021-05-16 10:49:31 -07:00
hive [SPARK-35286][SQL] Replace SessionState.start with SessionState.setCurrentSessionState 2021-05-16 18:39:15 +08:00
hive-thriftserver [SPARK-35286][SQL] Replace SessionState.start with SessionState.setCurrentSessionState 2021-05-16 18:39:15 +08:00
create-docs.sh [SPARK-34010][SQL][DODCS] Use python3 instead of python in SQL documentation build 2021-01-05 19:48:10 +09:00
gen-sql-api-docs.py [SPARK-34747][SQL][DOCS] Add virtual operators to the built-in function document 2021-03-19 10:19:26 +09:00
gen-sql-config-docs.py
gen-sql-functions-docs.py
mkdocs.yml
README.md

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, and SQL configuration documentation that gets included as part of configuration.md in the main docs directory.