AngersZhuuuu commented on a change in pull request #31010:
URL: https://github.com/apache/spark/pull/31010#discussion_r606318583



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File path: docs/sql-ref-syntax-qry-select-transform.md
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+---
+layout: global
+title: TRANSFORM
+displayTitle: TRANSFORM
+license: |
+  Licensed to the Apache Software Foundation (ASF) under one or more
+  contributor license agreements.  See the NOTICE file distributed with
+  this work for additional information regarding copyright ownership.
+  The ASF licenses this file to You under the Apache License, Version 2.0
+  (the "License"); you may not use this file except in compliance with
+  the License.  You may obtain a copy of the License at
+ 
+     http://www.apache.org/licenses/LICENSE-2.0
+ 
+  Unless required by applicable law or agreed to in writing, software
+  distributed under the License is distributed on an "AS IS" BASIS,
+  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+  See the License for the specific language governing permissions and
+  limitations under the License.
+---
+
+### Description
+
+The `TRANSFORM` clause is used to specifies a Hive-style transform (SELECT 
TRANSFORM/MAP/REDUCE)
+query specification to transform the input by forking and running the 
specified script. Users can
+plug in their own custom mappers and reducers in the data stream by using 
features natively supported
+in the Spark/Hive language. e.g. in order to run a custom mapper script 
`map_script` and a custom
+reducer script `reduce_script` the user can issue the following command which 
uses the TRANSFORM
+clause to embed the mapper and the reducer scripts.
+
+Currently, Spark's script transform support two mode:
+
+    1. Without Hive: It means spark run Spark SQL without Hive support, in 
this mode, spark can use default 
+       `ROW FORMAT DELIMITED` by treating data as STRING.
+    2. WIth Hive: It means spark run Spark SQL with Hive support, in this 
mode, when spark use default format, 
+       it will be treated as Hive default fomat. And spark can use Hive 
supported SerDe to process data.
+
+In both modes with default format, columns will be transformed to STRING and 
delimited by tabs before feeding
+to the user script, Similarly, all `NULL` values will be converted to the 
literal string `\N` in order to
+differentiate `NULL` values from empty strings. The standard output of the 
user script will be treated as
+TAB-separated STRING columns, any cell containing only `\N` will be 
re-interpreted as a `NULL`, and then the
+resulting STRING column will be cast to the data type specified in the table 
declaration in the usual way.
+User scripts can output debug information to standard error which will be 
shown on the task detail page on hadoop.
+These defaults can be overridden with `ROW FORMAT DELIMITED`.
+
+### Syntax
+
+```sql
+rowFormat
+    : ROW FORMAT SERDE serde_class [ WITH SERDEPROPERTIES serde_props ]
+    | ROW FORMAT DELIMITED
+       [ FIELDS TERMINATED BY fields_terminated_char [ ESCAPED BY escapedBy ] ]
+       [ COLLECTION ITEMS TERMINATED BY collectionItemsTerminatedBy ]
+       [ MAP KEYS TERMINATED BY keysTerminatedBy ]
+       [ LINES TERMINATED BY linesSeparatedBy ]
+       [ NULL DEFINED AS nullDefinedAs ]  
+
+inRowFormat=rowFormat
+outRowFormat=rowFormat
+namedExpressionSeq = named_expression [ , ... ]
+
+transformClause:
+  SELECT [ TRANSFORM ( namedExpressionSeq ) | MAP namedExpressionSeq | REDUCE 
namedExpressionSeq ]
+    [ inRowFormat ]
+    [ RECORDWRITER recordWriter_class ]
+    USING script
+    [ AS ( [ col_name [ col_type ]] [ , ... ] ) ]
+    [ outRowFormat ]
+    [ RECORDREADER recordReader_class ]
+  [ WHERE boolean_expression  ]
+  [ GROUP BY expression [ , ... ] ]
+  [ HAVING boolean_expression ]
+```
+
+### Parameters
+
+* **named_expression**
+
+    An expression with an assigned name. In general, it denotes a column 
expression.
+
+    **Syntax:** `expression [AS] [alias]`
+
+* **row_format**    
+
+    Use the `SERDE` clause to specify a custom SerDe for one table. Otherwise, 
use the `DELIMITED` clause to use the native SerDe and specify the delimiter, 
escape character, null character and so on.
+
+* **SERDE**
+
+    Specifies a custom SerDe for one table.
+
+* **serde_class**
+
+    Specifies a fully-qualified class name of a custom SerDe.
+
+* **SERDEPROPERTIES**
+
+    A list of key-value pairs that is used to tag the SerDe definition.
+
+* **DELIMITED**
+
+    The `DELIMITED` clause can be used to specify the native SerDe and state 
the delimiter, escape character, null character and so on.
+    
+* **FIELDS TERMINATED BY**
+
+    Used to define a column separator.
+    
+* **COLLECTION ITEMS TERMINATED BY**
+
+    Used to define a collection item separator.
+   
+* **MAP KEYS TERMINATED BY**
+
+    Used to define a map key separator.
+    
+* **LINES TERMINATED BY**
+
+    Used to define a row separator.
+    
+* **NULL DEFINED AS**
+
+    Used to define the specific value for NULL.
+    
+* **ESCAPED BY**
+
+    Used for escape mechanism.
+
+* **RECORDREADER**
+
+    Specifies a custom RecordReader for one table.
+
+* **RECORDWRITER**
+
+    Specifies a custom RecordWriter for one table.
+
+* **recordReader_class**
+
+    Specifies a fully-qualified class name of a custom RecordReader. 
+    Default value is `org.apache.hadoop.hive.ql.exec.TextRecordReader`
+
+* **recordWriter_class**
+
+    Specifies a fully-qualified class name of a custom RecordWriter. 
+    Default value is `org.apache.hadoop.hive.ql.exec.TextRecordWriter`.
+
+* **script**
+
+    Specify a command to process data.
+
+* **boolean_expression**
+
+    Specifies any expression that evaluates to a result type `boolean`. Two or
+    more expressions may be combined together using the logical
+    operators ( `AND`, `OR` ).
+
+* **expression**
+
+    Specifies combination of one or more values, operators and SQL functions 
that results in a value.
+
+### Without Hive support Mode
+
+Spark scripts transform can run without `-Phive` or 
`SparkSession.builder.enableHiveSupport()`.
+In this case, now spark only use script transform with `ROW FORMAT DELIMITED` 
and treat all value passed
+to script as a string. 
+
+### With Hive Support Mode
+
+When built Spark with `-Phive` and started Spark SQL with 
`enableHiveSupport()`, spark can use script 
+transform with Hive SerDe and both `ROW FORMAT DELIMITED`.

Review comment:
       Rmeoved




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