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dgd-contributor fc29c91f27 [SPARK-35561][SQL] Remove leading zeros from empty static number type partition 
### What changes were proposed in this pull request?

This PR removes leading zeros from static number type partition when we insert into a partition table with empty partitions.

create table

    CREATE TABLE `table_int` ( `id` INT, `c_string` STRING, `p_int` int)
    USING parquet PARTITIONED BY (p_int);

insert

    insert overwrite table table_int partition (p_int='00011')
    select 1, 'c string'
    where true ;

|partition|
|---------|
|p_int=11|

    insert overwrite table table_int partition (p_int='00012')
    select 1, 'c string'
    where false ;

|partition|
|---------|
|p_int=00012|

### Why are the changes needed?

This PR creates consistent result when insert empty or non-empty partition

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

No

### How was this patch tested?

Add Unit test

Closes #33291 from dgd-contributor/35561_insert_integer_partition_fail_when_empty.

Authored-by: dgd-contributor <dgd_contributor@viettel.com.vn>
Signed-off-by: Sean Owen <srowen@gmail.com>
2021-07-23 12:41:36 -05:00
..
catalyst [SPARK-35815][SQL] Allow delayThreshold for watermark to be represented as ANSI interval literals 2021-07-22 17:36:22 +03:00
core [SPARK-35561][SQL] Remove leading zeros from empty static number type partition 2021-07-23 12:41:36 -05:00
hive [SPARK-28266][SQL] convertToLogicalRelation should not interpret path property when reading Hive tables 2021-07-21 22:40:39 +08:00
hive-thriftserver [SPARK-36179][SQL] Support TimestampNTZType in SparkGetColumnsOperation 2021-07-20 09:48:58 +09:00
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-32194][PYTHON] Use proper exception classes instead of plain Exception 2021-05-26 11:54:40 +09:00
gen-sql-functions-docs.py
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.