ODIn/spark-instrumented-optimizer
1
0
Fork 0
Code Issues Pull requests Projects Releases Wiki Activity
spark-instrumented-optimizer/sql
History
Dongjoon Hyun bd031c2173 [SPARK-29307][BUILD][TESTS] Remove scalatest deprecation warnings 
### What changes were proposed in this pull request?

This PR aims to remove `scalatest` deprecation warnings with the following changes.
- `org.scalatest.mockito.MockitoSugar` -> `org.scalatestplus.mockito.MockitoSugar`
- `org.scalatest.selenium.WebBrowser` -> `org.scalatestplus.selenium.WebBrowser`
- `org.scalatest.prop.Checkers` -> `org.scalatestplus.scalacheck.Checkers`
- `org.scalatest.prop.GeneratorDrivenPropertyChecks` -> `org.scalatestplus.scalacheck.ScalaCheckDrivenPropertyChecks`

### Why are the changes needed?

According to the Jenkins logs, there are 118 warnings about this.
```
 grep "is deprecated" ~/consoleText | grep scalatest | wc -l
     118
```

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

No.

### How was this patch tested?

After Jenkins passes, we need to check the Jenkins log.

Closes #25982 from dongjoon-hyun/SPARK-29307.

Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
2019-09-30 21:00:11 -07:00
..
catalyst [SPARK-29307][BUILD][TESTS] Remove scalatest deprecation warnings 2019-09-30 21:00:11 -07:00
core [SPARK-29307][BUILD][TESTS] Remove scalatest deprecation warnings 2019-09-30 21:00:11 -07:00
hive [SPARK-29291][CORE][SQL][STREAMING][MLLIB] Change procedure-like declaration to function + Unit for 2.13 2019-09-30 10:03:23 -07:00
hive-thriftserver [SPARK-29307][BUILD][TESTS] Remove scalatest deprecation warnings 2019-09-30 21:00:11 -07:00
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-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

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.