13eb37c860
## What changes were proposed in this pull request?
This PR proposes three things as below:
- This test looks not testing `<=>` and identical with the test above, `===`. So, it removes the test.
```diff
- test("<=>") {
- checkAnswer(
- testData2.filter($"a" === 1),
- testData2.collect().toSeq.filter(r => r.getInt(0) == 1))
-
- checkAnswer(
- testData2.filter($"a" === $"b"),
- testData2.collect().toSeq.filter(r => r.getInt(0) == r.getInt(1)))
- }
```
- Replace the test title from `=!=` to `<=>`. It looks the test actually testing `<=>`.
```diff
+ private lazy val nullData = Seq(
+ (Some(1), Some(1)), (Some(1), Some(2)), (Some(1), None), (None, None)).toDF("a", "b")
+
...
- test("=!=") {
+ test("<=>") {
- val nullData = spark.createDataFrame(sparkContext.parallelize(
- Row(1, 1) ::
- Row(1, 2) ::
- Row(1, null) ::
- Row(null, null) :: Nil),
- StructType(Seq(StructField("a", IntegerType), StructField("b", IntegerType))))
-
checkAnswer(
nullData.filter($"b" <=> 1),
...
```
- Add the tests for `=!=` which looks not existing.
```diff
+ test("=!=") {
+ checkAnswer(
+ nullData.filter($"b" =!= 1),
+ Row(1, 2) :: Nil)
+
+ checkAnswer(nullData.filter($"b" =!= null), Nil)
+
+ checkAnswer(
+ nullData.filter($"a" =!= $"b"),
+ Row(1, 2) :: Nil)
+ }
```
## How was this patch tested?
Manually running the tests.
Author: hyukjinkwon <gurwls223@gmail.com>
Closes #17842 from HyukjinKwon/minor-test-fix.
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| .. | ||
| catalyst | ||
| core | ||
| hive | ||
| hive-thriftserver | ||
| 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 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 allows 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.