spark-instrumented-optimizer/sql
HyukjinKwon 7cc0f0e9a7 [SPARK-28894][SQL][TESTS] Add a clue to make it easier to debug via Jenkins's test results
### What changes were proposed in this pull request?

See https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/109834/testReport/junit/org.apache.spark.sql/SQLQueryTestSuite/

![Screen Shot 2019-08-28 at 4 08 58 PM](https://user-images.githubusercontent.com/6477701/63833484-2a23ea00-c9ae-11e9-91a1-0859cb183fea.png)

```xml
<?xml version="1.0" encoding="UTF-8"?>
<testsuite hostname="C02Y52ZLJGH5" name="org.apache.spark.sql.SQLQueryTestSuite" tests="3" errors="0" failures="0" skipped="0" time="14.475">
    ...
    <testcase classname="org.apache.spark.sql.SQLQueryTestSuite" name="sql - Scala UDF" time="6.703">
    </testcase>
    <testcase classname="org.apache.spark.sql.SQLQueryTestSuite" name="sql - Regular Python UDF" time="4.442">
    </testcase>
    <testcase classname="org.apache.spark.sql.SQLQueryTestSuite" name="sql - Scalar Pandas UDF" time="3.33">
    </testcase>
    <system-out/>
    <system-err/>
</testsuite>
```

Root cause seems a bug in SBT - it truncates the test name based on the last dot.

https://github.com/sbt/sbt/issues/2949
https://github.com/sbt/sbt/blob/v0.13.18/testing/src/main/scala/sbt/JUnitXmlTestsListener.scala#L71-L79

I tried to find a better way but couldn't find. Therefore, this PR proposes a workaround by appending the test file name into the assert log:

```diff
  [info] - inner-join.sql *** FAILED *** (4 seconds, 306 milliseconds)
+ [info]   inner-join.sql
  [info]   Expected "1	a
  [info]   1	a
  [info]   1	b
  [info]   1[]", but got "1	a
  [info]   1	a
  [info]   1	b
  [info]   1[	b]" Result did not match for query #6
  [info]   SELECT tb.* FROM ta INNER JOIN tb ON ta.a = tb.a AND ta.tag = tb.tag (SQLQueryTestSuite.scala:377)
  [info]   org.scalatest.exceptions.TestFailedException:
  [info]   at org.scalatest.Assertions.newAssertionFailedException(Assertions.scala:528)
```

It will at least prevent us to search full logs to identify which test file is failed by clicking filed test.

Note that this PR does not fully fix the issue but only fix the logs on its failed tests.

### Why are the changes needed?
To debug Jenkins logs easier. Otherwise, we should open full logs and search which test was failed.

### Does this PR introduce any user-facing change?
It will print out the file name of failed tests in Jenkins' test reports.

### How was this patch tested?
Manually tested but Jenkins tests are required in this PR.

Now it at least shows which file it is:

![Screen Shot 2019-08-30 at 10 16 32 PM](https://user-images.githubusercontent.com/6477701/64023705-de22a200-cb73-11e9-8806-2e98ad35adef.png)

Closes #25630 from HyukjinKwon/SPARK-28894-1.

Authored-by: HyukjinKwon <gurwls223@apache.org>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
2019-08-30 15:10:40 -07:00
..
catalyst [SPARK-27931][SQL] Accept "true", "yes", "1", "false", "no", "0", and unique prefixes as input and trim input for the boolean data type 2019-08-30 14:18:13 -07:00
core [SPARK-28894][SQL][TESTS] Add a clue to make it easier to debug via Jenkins's test results 2019-08-30 15:10:40 -07:00
hive [SPARK-28890][SQL] Upgrade Hive Metastore Client to the 3.1.2 for Hive 3.1 2019-08-28 09:16:54 -07:00
hive-thriftserver [SPARK-28527][SQL][TEST][FOLLOW-UP] Ignores Thrift server ThriftServerQueryTestSuite 2019-08-27 15:41:22 +09:00
create-docs.sh
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
README.md [SPARK-28473][DOC] Stylistic consistency of build command in README 2019-07-23 16:29:46 -07:00

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 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.