ODIn/spark-instrumented-optimizer
1
0
Fork 0
Code Issues Pull requests Projects Releases Wiki Activity
spark-instrumented-optimizer/sql
History
Max Gekk f1fde0cc22 [SPARK-31490][SQL][TESTS] Benchmark conversions to/from Java 8 datetime types 
### What changes were proposed in this pull request?
- Add benchmark cases for **parallelizing** `java.time.LocalDate` and `java.time.Instant` column values.
- Add benchmark cases for **collecting** `java.time.LocalDate` and `java.time.Instant` column values.

### Why are the changes needed?
- To detect perf regression in the future
- To compare parallelization/collection of Java 8 date-time types with Java 7 date-time types `java.sql.Date` & `java.sql.Timestamp`.

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

### How was this patch tested?
By running the modified benchmarks in the environment:

| Item | Description |
| ---- | ----|
| Region | us-west-2 (Oregon) |
| Instance | r3.xlarge |
| AMI | ubuntu/images/hvm-ssd/ubuntu-bionic-18.04-amd64-server-20190722.1 (ami-06f2f779464715dc5) |
| Java | OpenJDK 64-Bit Server VM 1.8.0_242 and OpenJDK 64-Bit Server VM 11.0.6+10 |

Closes #28263 from MaxGekk/java8-datetime-collect-benchmark.

Authored-by: Max Gekk <max.gekk@gmail.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
2020-04-20 07:26:38 +00:00
..
catalyst [SPARK-31385][SQL] Restrict micros rebasing via switch arrays up to 2037 year 2020-04-20 06:35:16 +00:00
core [SPARK-31490][SQL][TESTS] Benchmark conversions to/from Java 8 datetime types 2020-04-20 07:26:38 +00:00
hive [SPARK-31425][SQL][CORE] UnsafeKVExternalSorter/VariableLengthRowBasedKeyValueBatch should also respect UnsafeAlignedOffset 2020-04-17 04:48:27 +00:00
hive-thriftserver [SPARK-31291][SQL][TEST][FOLLOWUP] Fix resource loading error in ThriftServerQueryTestSuite 2020-04-11 08:23:59 -07:00
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.