ODIn/spark-instrumented-optimizer
1
0
Fork 0
Code Issues Pull requests Projects Releases Wiki Activity
spark-instrumented-optimizer/sql
History
Kent Yao 2b46662bd0 [SPARK-31111][SQL][TESTS] Fix interval output issue in ExtractBenchmark 
### What changes were proposed in this pull request?

fix the error caused by interval output in ExtractBenchmark
### Why are the changes needed?

fix a bug in the test

```scala
[info]   Running case: cast to interval
[error] Exception in thread "main" org.apache.spark.sql.AnalysisException: Cannot use interval type in the table schema.;;
[error] OverwriteByExpression RelationV2[] noop-table, true, true
[error] +- Project [(subtractdates(cast(cast(id#0L as timestamp) as date), -719162) + subtracttimestamps(cast(id#0L as timestamp), -30610249419876544)) AS ((CAST(CAST(id AS TIMESTAMP) AS DATE) - DATE '0001-01-01') + (CAST(id AS TIMESTAMP) - TIMESTAMP '1000-01-01 01:02:03.123456'))#2]
[error]    +- Range (1262304000, 1272304000, step=1, splits=Some(1))
[error]
[error] 	at org.apache.spark.sql.catalyst.util.TypeUtils$.failWithIntervalType(TypeUtils.scala:106)
[error] 	at org.apache.spark.sql.catalyst.analysis.CheckAnalysis.$anonfun$checkAnalysis$25(CheckAnalysis.scala:389)
[error] 	at org.a
```
### Does this PR introduce any user-facing change?

no

### How was this patch tested?

re-run benchmark

Closes #27867 from yaooqinn/SPARK-31111.

Authored-by: Kent Yao <yaooqinn@hotmail.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
2020-03-11 20:13:59 +08:00
..
catalyst [SPARK-31071][SQL] Allow annotating non-null fields when encoding Java Beans 2020-03-11 18:27:48 +08:00
core [SPARK-31111][SQL][TESTS] Fix interval output issue in ExtractBenchmark 2020-03-11 20:13:59 +08:00
hive [SPARK-31061][SQL] Provide ability to alter the provider of a table 2020-03-05 23:42:07 -08:00
hive-thriftserver [SPARK-30049][SQL] SQL fails to parse when comment contains an unmatched quote character 2020-03-03 09:55:15 -06:00
create-docs.sh [SPARK-30510][SQL][DOCS] Publicly document Spark SQL configuration options 2020-02-09 19:20:47 +09:00
gen-sql-api-docs.py [SPARK-30510][SQL][DOCS] Publicly document Spark SQL configuration options 2020-02-09 19:20:47 +09:00
gen-sql-config-docs.py [SPARK-30840][CORE][SQL] Add version property for ConfigEntry and ConfigBuilder 2020-02-22 09:46:42 +09:00
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

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, and SQL configuration documentation that gets included as part of configuration.md in the main docs directory.