spark-instrumented-optimizer/sql
yangjie01 6ae2cb2db3 [SPARK-32526][SQL] Fix some test cases of sql/catalyst module in scala 2.13
### What changes were proposed in this pull request?
The purpose of this pr is to partial resolve [SPARK-32526](https://issues.apache.org/jira/browse/SPARK-32526), total of 88 failed and 2 aborted test cases were fixed, the related suite as follow:

- `DataSourceV2AnalysisBaseSuite` related test cases (71 FAILED -> Pass)
- `TreeNodeSuite` (1 FAILED -> Pass)
- `MetadataSuite `(1 FAILED -> Pass)
- `InferFiltersFromConstraintsSuite `(3 FAILED -> Pass)
- `StringExpressionsSuite ` (1 FAILED -> Pass)
- `JacksonParserSuite ` (1 FAILED -> Pass)
- `HigherOrderFunctionsSuite `(1 FAILED -> Pass)
- `ExpressionParserSuite` (1 FAILED -> Pass)
- `CollectionExpressionsSuite `(6 FAILED -> Pass)
- `SchemaUtilsSuite` (2 FAILED -> Pass)
- `ExpressionSetSuite `(ABORTED -> Pass)
- `ArrayDataIndexedSeqSuite `(ABORTED -> Pass)

The main change of this pr as following:

- `Optimizer` and `Analyzer` are changed to pass compile, `ArrayBuffer` is not a `Seq` in scala 2.13, call `toSeq` method manually to compatible with Scala 2.12

- `m.mapValues().view.force` pattern return a `Map` in scala 2.12 but return a `IndexedSeq` in scala 2.13, call `toMap` method manually to compatible with Scala 2.12. `TreeNode` are changed to pass `DataSourceV2AnalysisBaseSuite` related test cases and `TreeNodeSuite` failed case.

- call `toMap` method of `Metadata#hash` method `case map` branch because `map.mapValues` return `Map` in Scala 2.12 and return `MapView` in Scala 2.13.

- `impl` contact method of `ExpressionSet` in Scala 2.13 version refer to `ExpressionSet` in Scala 2.12 to support `+ + ` method conform to `ExpressionSet` semantics

- `GenericArrayData` not accept `ArrayBuffer` input, call `toSeq` when use `ArrayBuffer` construction `GenericArrayData`   for Scala version compatibility

-  Call `toSeq` in `RandomDataGenerator#randomRow` method to ensure contents of `fields` is `Seq` not `ArrayBuffer`

-  Call `toSeq` Let `JacksonParser#parse` still return a `Seq` because the check method of `JacksonParserSuite#"skipping rows using pushdown filters"` dependence on `Seq` type
- Call `toSeq` in `AstBuilder#visitFunctionCall`, otherwise `ctx.argument.asScala.map(expression)` is `Buffer` in Scala 2.13

- Add a `LongType` match to `ArraySetLike.nullValueHolder`

- Add a `sorted` to ensure `duplicateColumns` string in `SchemaUtils.checkColumnNameDuplication` method error message have a deterministic order

### Why are the changes needed?
We need to support a Scala 2.13 build.

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

### How was this patch tested?

- Scala 2.12: Pass the Jenkins or GitHub Action

- Scala 2.13: Do the following:

```
dev/change-scala-version.sh 2.13
mvn clean install -DskipTests  -pl sql/catalyst -Pscala-2.13 -am
mvn test -pl sql/catalyst -Pscala-2.13
```

**Before**
```
Tests: succeeded 3853, failed 103, canceled 0, ignored 6, pending 0
*** 3 SUITES ABORTED ***
*** 103 TESTS FAILED ***
```

**After**

```
Tests: succeeded 4035, failed 17, canceled 0, ignored 6, pending 0
*** 1 SUITE ABORTED ***
*** 15 TESTS FAILED ***
```

Closes #29370 from LuciferYang/fix-DataSourceV2AnalysisBaseSuite.

Authored-by: yangjie01 <yangjie01@baidu.com>
Signed-off-by: Sean Owen <srowen@gmail.com>
2020-08-13 11:46:30 -05:00
..
catalyst [SPARK-32526][SQL] Fix some test cases of sql/catalyst module in scala 2.13 2020-08-13 11:46:30 -05:00
core [SPARK-32511][SQL] Add dropFields method to Column class 2020-08-13 03:28:25 +00:00
hive [SPARK-32599][SQL][TESTS] Check the TEXTFILE file format in HiveSerDeReadWriteSuite 2020-08-12 20:59:59 +09:00
hive-thriftserver [SPARK-32492][SQL][FOLLOWUP][TEST-MAVEN] Fix jenkins maven jobs 2020-08-05 13:56:11 +00:00
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.