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Kris Mok 9a155d42a3 [SPARK-32999][SQL] Use Utils.getSimpleName to avoid hitting Malformed class name in TreeNode 
### What changes were proposed in this pull request?

Use `Utils.getSimpleName` to avoid hitting `Malformed class name` error in `TreeNode`.

### Why are the changes needed?

On older JDK versions (e.g. JDK8u), nested Scala classes may trigger `java.lang.Class.getSimpleName` to throw an `java.lang.InternalError: Malformed class name` error.

Similar to https://github.com/apache/spark/pull/29050, we should use  Spark's `Utils.getSimpleName` utility function in place of `Class.getSimpleName` to avoid hitting the issue.

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

Fixes a bug that throws an error when invoking `TreeNode.nodeName`, otherwise no changes.

### How was this patch tested?

Added new unit test case in `TreeNodeSuite`. Note that the test case assumes the test code can trigger the expected error, otherwise it'll skip the test safely, for compatibility with newer JDKs.

Manually tested on JDK8u and JDK11u and observed expected behavior:
- JDK8u: the test case triggers the "Malformed class name" issue and the fix works;
- JDK11u: the test case does not trigger the "Malformed class name" issue, and the test case is safely skipped.

Closes #29875 from rednaxelafx/spark-32999-getsimplename.

Authored-by: Kris Mok <kris.mok@databricks.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
2020-09-26 16:03:59 -07:00
..
catalyst [SPARK-32999][SQL] Use Utils.getSimpleName to avoid hitting Malformed class name in TreeNode 2020-09-26 16:03:59 -07:00
core [SPARK-32885][SS] Add DataStreamReader.table API 2020-09-25 06:50:24 +00:00
hive [SPARK-32885][SS] Add DataStreamReader.table API 2020-09-25 06:50:24 +00:00
hive-thriftserver [SPARK-32874][SQL][FOLLOWUP][TEST-HIVE1.2][TEST-HADOOP2.7] Fix spark-master-test-sbt-hadoop-2.7-hive-1.2 2020-09-18 11:55:27 +00:00
create-docs.sh [SPARK-31550][SQL][DOCS] Set nondeterministic configurations with general meanings in sql configuration doc 2020-04-27 17:08:52 +09:00
gen-sql-api-docs.py [SPARK-31474][SQL][FOLLOWUP] Replace _FUNC_ placeholder with functionname in the note field of expression info 2020-04-23 13:33:04 +09:00
gen-sql-config-docs.py [SPARK-31550][SQL][DOCS] Set nondeterministic configurations with general meanings in sql configuration doc 2020-04-27 17:08:52 +09:00
gen-sql-functions-docs.py [SPARK-31562][SQL] Update ExpressionDescription for substring, current_date, and current_timestamp 2020-04-26 11:46:52 -07:00
mkdocs.yml [SPARK-30731] Update deprecated Mkdocs option 2020-02-19 17:28:58 +09:00
README.md [SPARK-30510][SQL][DOCS] Publicly document Spark SQL configuration options 2020-02-09 19:20:47 +09:00

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