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beliefer b9494206a5 [SPARK-31372][SQL][TEST][FOLLOW-UP] Improve ExpressionsSchemaSuite so that easy to track the diff 
### What changes were proposed in this pull request?
This PR follows up https://github.com/apache/spark/pull/28194.
As discussed at https://github.com/apache/spark/pull/28194/files#r418418796.
This PR will improve `ExpressionsSchemaSuite` so that easy to track the diff.
Although `ExpressionsSchemaSuite` at line
b7cde42b04/sql/core/src/test/scala/org/apache/spark/sql/ExpressionsSchemaSuite.scala (L165)
just want to compare the total size between expected output size and the newest output size, the scalatest framework will output the extra information contains all the content of expected output and newest output.
This PR will try to avoid this issue.
After this PR, the exception looks like below:
```
[info] - Check schemas for expression examples *** FAILED *** (7 seconds, 336 milliseconds)
[info]   340 did not equal 341 Expected 332 blocks in result file but got 333. Try regenerate the result files. (ExpressionsSchemaSuite.scala:167)
[info]   org.scalatest.exceptions.TestFailedException:
[info]   at org.scalatest.Assertions.newAssertionFailedException(Assertions.scala:530)
[info]   at org.scalatest.Assertions.newAssertionFailedException$(Assertions.scala:529)
[info]   at org.scalatest.FunSuite.newAssertionFailedException(FunSuite.scala:1560)
[info]   at org.scalatest.Assertions$AssertionsHelper.macroAssert(Assertions.scala:503)
[info]   at org.apache.spark.sql.ExpressionsSchemaSuite.$anonfun$new$1(ExpressionsSchemaSuite.scala:167)
```

### Why are the changes needed?
Make the exception more concise and clear.

### Does this PR introduce _any_ user-facing change?
'No'.

### How was this patch tested?
Jenkins test.

Closes #28430 from beliefer/improve-expressions-schema-suite.

Authored-by: beliefer <beliefer@163.com>
Signed-off-by: HyukjinKwon <gurwls223@apache.org>
2020-05-05 10:04:16 +09:00
..
catalyst [SPARK-31639] Revert SPARK-27528 Use Parquet logical type TIMESTAMP_MICROS by default 2020-05-04 17:27:02 -07:00
core [SPARK-31372][SQL][TEST][FOLLOW-UP] Improve ExpressionsSchemaSuite so that easy to track the diff 2020-05-05 10:04:16 +09:00
hive [SPARK-30282][SQL][FOLLOWUP] SHOW TBLPROPERTIES should support views 2020-04-29 07:06:45 +00:00
hive-thriftserver [SPARK-31626][SQL] Port HIVE-10415: hive.start.cleanup.scratchdir configuration is not taking effect 2020-05-04 14:59:33 +09:00
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.