spark-instrumented-optimizer/sql
Gengliang Wang a717d219a6 [SPARK-30159][SQL][TESTS] Fix the method calls of QueryTest.checkAnswer
### What changes were proposed in this pull request?

Before this PR, the method `checkAnswer` in Object `QueryTest` returns an optional string. It doesn't throw exceptions when errors happen.
The actual exceptions are thrown in the trait `QueryTest`.

However, there are some test suites(`StreamSuite`, `SessionStateSuite`, `BinaryFileFormatSuite`, etc.) that use the no-op method `QueryTest.checkAnswer` and expect it to fail test cases when the execution results don't match the expected answers.

After this PR:
1. the method `checkAnswer` in Object `QueryTest` will fail tests on errors or unexpected results.
2. add a new method `getErrorMessageInCheckAnswer`, which is exactly the same as the previous version of `checkAnswer`. There are some test suites use this one to customize the test failure message.
3. for the test suites that extend the trait `QueryTest`, we should use the method `checkAnswer` directly, instead of calling the method from Object `QueryTest`.

### Why are the changes needed?

We should fix these method calls to perform actual validations in test suites.

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

No.

### How was this patch tested?

Existing unit tests.

Closes #26788 from gengliangwang/fixCheckAnswer.

Authored-by: Gengliang Wang <gengliang.wang@databricks.com>
Signed-off-by: HyukjinKwon <gurwls223@apache.org>
2019-12-09 22:19:08 +09:00
..
catalyst [SPARK-30138][SQL] Separate configuration key of max iterations for analyzer and optimizer 2019-12-09 19:43:32 +09:00
core [SPARK-30159][SQL][TESTS] Fix the method calls of QueryTest.checkAnswer 2019-12-09 22:19:08 +09:00
hive [SPARK-30159][SQL][TESTS] Fix the method calls of QueryTest.checkAnswer 2019-12-09 22:19:08 +09:00
hive-thriftserver [SPARK-30098][SQL] Use default datasource as provider for CREATE TABLE syntax 2019-12-07 02:15:25 +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-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

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.