khalidmammadov opened a new pull request, #40916:
URL: https://github.com/apache/spark/pull/40916
### What changes were proposed in this pull request?
This feature parity improvement and to add **level** param to df.printSchema
for Python API (PySpark & Connect)
## Connect API
Examples:
```
root@f53642e9adb0:/home/spark# bin/pyspark --remote "local[*]"
Python 3.9.5 (default, Nov 23 2021, 15:27:38)
[GCC 9.3.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
Setting default log level to "WARN".
To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use
setLogLevel(newLevel).
23/04/23 13:31:58 WARN NativeCodeLoader: Unable to load native-hadoop
library for your platform... using builtin-java classes where applicable
Welcome to
____ __
/ __/__ ___ _____/ /__
_\ \/ _ \/ _ `/ __/ '_/
/__ / .__/\_,_/_/ /_/\_\ version 3.5.0.dev0
/_/
Using Python version 3.9.5 (default, Nov 23 2021 15:27:38)
Client connected to the Spark Connect server at localhost
SparkSession available as 'spark'.
>>> df = spark.createDataFrame([(1, (2,2))], ["a", "b"])
>>> df.printSchema(1)
root
|-- a: long (nullable = true)
|-- b: struct (nullable = true)
>>> df.printSchema(2)
root
|-- a: long (nullable = true)
|-- b: struct (nullable = true)
| |-- _1: long (nullable = true)
| |-- _2: long (nullable = true)
>>> df.printSchema(3)
root
|-- a: long (nullable = true)
|-- b: struct (nullable = true)
| |-- _1: long (nullable = true)
| |-- _2: long (nullable = true)
>>> df.printSchema()
root
|-- a: long (nullable = true)
|-- b: struct (nullable = true)
| |-- _1: long (nullable = true)
| |-- _2: long (nullable = true)
root@f53642e9adb0:/home/spark# bin/pyspark
Python 3.9.5 (default, Nov 23 2021, 15:27:38)
[GCC 9.3.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
Setting default log level to "WARN".
To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use
setLogLevel(newLevel).
23/04/23 13:36:42 WARN NativeCodeLoader: Unable to load native-hadoop
library for your platform... using builtin-java classes where applicable
Welcome to
____ __
/ __/__ ___ _____/ /__
_\ \/ _ \/ _ `/ __/ '_/
/__ / .__/\_,_/_/ /_/\_\ version 3.5.0-SNAPSHOT
/_/
Using Python version 3.9.5 (default, Nov 23 2021 15:27:38)
Spark context Web UI available at http://localhost:4040
Spark context available as 'sc' (master = local[*], app id =
local-1682257002957).
SparkSession available as 'spark'.
>>> df = spark.createDataFrame([(1, (2,2))], ["a", "b"])
>>> df.printSchema(1)
root
|-- a: long (nullable = true)
|-- b: struct (nullable = true)
>>> df.printSchema(2)
root
|-- a: long (nullable = true)
|-- b: struct (nullable = true)
| |-- _1: long (nullable = true)
| |-- _2: long (nullable = true)
>>> df.printSchema(3)
root
|-- a: long (nullable = true)
|-- b: struct (nullable = true)
| |-- _1: long (nullable = true)
| |-- _2: long (nullable = true)
>>> df.printSchema(0)
root
|-- a: long (nullable = true)
|-- b: struct (nullable = true)
| |-- _1: long (nullable = true)
| |-- _2: long (nullable = true)
```
### Why are the changes needed?
Feature parity
### Does this PR introduce _any_ user-facing change?
Yes
### How was this patch tested?
Existing and new test cases
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