95db7e6459
### What changes were proposed in this pull request?
This issue fixes an issue that indentation of multiple output JSON records in a single split file are broken except for the first record in the split when `pretty` option is `true`.
```
// Run in the Spark Shell.
// Set spark.sql.leafNodeDefaultParallelism to 1 for the current master.
// Or set spark.default.parallelism for the previous releases.
spark.conf.set("spark.sql.leafNodeDefaultParallelism", 1)
val df = Seq("a", "b", "c").toDF
df.write.option("pretty", "true").json("/path/to/output")
# Run in a Shell
$ cat /path/to/output/*.json
{
"value" : "a"
}
{
"value" : "b"
}
{
"value" : "c"
}
```
### Why are the changes needed?
It's not pretty even though `pretty` option is true.
### Does this PR introduce _any_ user-facing change?
I think "No". Indentation style is changed but JSON format is not changed.
### How was this patch tested?
New test.
Closes #32203 from sarutak/fix-ugly-indentation.
Authored-by: Kousuke Saruta <sarutak@oss.nttdata.com>
Signed-off-by: Max Gekk <max.gekk@gmail.com>
|
||
|---|---|---|
| .. | ||
| catalyst | ||
| core | ||
| hive | ||
| hive-thriftserver | ||
| create-docs.sh | ||
| gen-sql-api-docs.py | ||
| gen-sql-config-docs.py | ||
| gen-sql-functions-docs.py | ||
| mkdocs.yml | ||
| 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.