spark-instrumented-optimizer/sql
Dongjoon Hyun 748f05fca9 [SPARK-34954][SQL] Use zstd codec name in ORC file names
### What changes were proposed in this pull request?

This PR aims to add `zstd` codec names in the Spark generated ORC file names for consistency.

### Why are the changes needed?

Like the other ORC supported codecs, we had better have `zstd` in the Spark generated ORC file names. Please note that there is no problem at reading/writing ORC zstd files currently. This PR only aims to revise the file name format for consistency.

**SNAPPY**
```
scala> spark.range(10).repartition(1).write.option("compression", "snappy").orc("/tmp/snappy")

$ ls -al /tmp/snappy
total 24
drwxr-xr-x   6 dongjoon  wheel  192 Apr  4 12:17 .
drwxrwxrwt  14 root      wheel  448 Apr  4 12:17 ..
-rw-r--r--   1 dongjoon  wheel    8 Apr  4 12:17 ._SUCCESS.crc
-rw-r--r--   1 dongjoon  wheel   12 Apr  4 12:17 .part-00000-833bb7ad-d1e1-48cc-9719-07b2d594aa4c-c000.snappy.orc.crc
-rw-r--r--   1 dongjoon  wheel    0 Apr  4 12:17 _SUCCESS
-rw-r--r--   1 dongjoon  wheel  231 Apr  4 12:17 part-00000-833bb7ad-d1e1-48cc-9719-07b2d594aa4c-c000.snappy.orc
```

**ZSTD (AS-IS)**
```
scala> spark.range(10).repartition(1).write.option("compression", "zstd").orc("/tmp/zstd")

$ ls -al /tmp/zstd
total 24
drwxr-xr-x   6 dongjoon  wheel  192 Apr  4 12:17 .
drwxrwxrwt  14 root      wheel  448 Apr  4 12:17 ..
-rw-r--r--   1 dongjoon  wheel    8 Apr  4 12:17 ._SUCCESS.crc
-rw-r--r--   1 dongjoon  wheel   12 Apr  4 12:17 .part-00000-2f403ce9-7314-4db5-bca3-b1c1dd83335f-c000.orc.crc
-rw-r--r--   1 dongjoon  wheel    0 Apr  4 12:17 _SUCCESS
-rw-r--r--   1 dongjoon  wheel  231 Apr  4 12:17 part-00000-2f403ce9-7314-4db5-bca3-b1c1dd83335f-c000.orc
```

**ZSTD (After this PR)**
```
scala> spark.range(10).repartition(1).write.option("compression", "zstd").orc("/tmp/zstd_new")

$ ls -al /tmp/zstd_new
total 24
drwxr-xr-x   6 dongjoon  wheel  192 Apr  4 12:28 .
drwxrwxrwt  15 root      wheel  480 Apr  4 12:28 ..
-rw-r--r--   1 dongjoon  wheel    8 Apr  4 12:28 ._SUCCESS.crc
-rw-r--r--   1 dongjoon  wheel   12 Apr  4 12:28 .part-00000-49d57329-7196-4caf-839c-4251c876e26b-c000.zstd.orc.crc
-rw-r--r--   1 dongjoon  wheel    0 Apr  4 12:28 _SUCCESS
-rw-r--r--   1 dongjoon  wheel  231 Apr  4 12:28 part-00000-49d57329-7196-4caf-839c-4251c876e26b-c000.zstd.orc
```

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

No.

### How was this patch tested?

Pass the CIs with the updated UT.

Closes #32051 from dongjoon-hyun/SPARK-34954.

Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
2021-04-04 17:11:56 -07:00
..
catalyst [SPARK-34950][TESTS] Update benchmark results to the ones created by GitHub Actions machines 2021-04-03 23:02:56 +03:00
core [SPARK-34954][SQL] Use zstd codec name in ORC file names 2021-04-04 17:11:56 -07:00
hive [SPARK-34950][TESTS] Update benchmark results to the ones created by GitHub Actions machines 2021-04-03 23:02:56 +03:00
hive-thriftserver [SPARK-34896][SQL] Return day-time interval from dates subtraction 2021-03-31 08:20:13 +03:00
create-docs.sh [SPARK-34010][SQL][DODCS] Use python3 instead of python in SQL documentation build 2021-01-05 19:48:10 +09:00
gen-sql-api-docs.py [SPARK-34747][SQL][DOCS] Add virtual operators to the built-in function document 2021-03-19 10:19:26 +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.