spark-instrumented-optimizer/sql
Takeshi Yamamuro a5c17de241 [SPARK-33165][SQL][TEST] Remove dependencies(scalatest,scalactic) from Benchmark
### What changes were proposed in this pull request?

This PR proposes to remove `assert` from `Benchmark` for making it easier to run benchmark codes via `spark-submit`.

### Why are the changes needed?

Since the current `Benchmark` (`master` and `branch-3.0`) has `assert`, we need to pass the proper jars of `scalatest` and `scalactic`;
 - scalatest-core_2.12-3.2.0.jar
 - scalatest-compatible-3.2.0.jar
 - scalactic_2.12-3.0.jar
```
./bin/spark-submit --jars scalatest-core_2.12-3.2.0.jar,scalatest-compatible-3.2.0.jar,scalactic_2.12-3.0.jar,./sql/catalyst/target/spark-catalyst_2.12-3.1.0-SNAPSHOT-tests.jar,./core/target/spark-core_2.12-3.1.0-SNAPSHOT-tests.jar --class org.apache.spark.sql.execution.benchmark.TPCDSQueryBenchmark ./sql/core/target/spark-sql_2.12-3.1.0-SNAPSHOT-tests.jar --data-location /tmp/tpcds-sf1
```

This update can make developers submit benchmark codes without these dependencies;
```
./bin/spark-submit --jars ./sql/catalyst/target/spark-catalyst_2.12-3.1.0-SNAPSHOT-tests.jar,./core/target/spark-core_2.12-3.1.0-SNAPSHOT-tests.jar --class org.apache.spark.sql.execution.benchmark.TPCDSQueryBenchmark ./sql/core/target/spark-sql_2.12-3.1.0-SNAPSHOT-tests.jar --data-location /tmp/tpcds-sf1
```

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

No.

### How was this patch tested?

Manually checked.

Closes #30064 from maropu/RemoveDepInBenchmark.

Authored-by: Takeshi Yamamuro <yamamuro@apache.org>
Signed-off-by: HyukjinKwon <gurwls223@apache.org>
2020-10-16 11:39:09 +09:00
..
catalyst [SPARK-33080][BUILD] Replace fatal warnings snippet 2020-10-15 14:49:43 -05:00
core [SPARK-33165][SQL][TEST] Remove dependencies(scalatest,scalactic) from Benchmark 2020-10-16 11:39:09 +09:00
hive [SPARK-33153][SQL][TESTS] Ignore Spark 2.4 in HiveExternalCatalogVersionsSuite on Python 3.8/3.9 2020-10-14 20:48:13 -07:00
hive-thriftserver [SPARK-33080][BUILD] Replace fatal warnings snippet 2020-10-15 14:49:43 -05:00
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

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.