AngersZhuuuu commented on a change in pull request #31010: URL: https://github.com/apache/spark/pull/31010#discussion_r612090496
########## File path: docs/sql-ref-syntax-qry-select-transform.md ########## @@ -0,0 +1,254 @@ +--- +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 specify a Hive-style transform (`SELECT TRANSFORM`/`MAP`/`REDUCE`) +query specification to transform the input by running a specified script. Users can +plug in their own custom mappers or reducers in the data stream by using features natively supported +in the Spark SQL. In order to run a custom mapper script `map_script` or a custom +reducer script `reduce_script` the user can issue the command which uses the `TRANSFORM` +clause to embed the mapper or the reducer scripts. + +### Syntax + +```sql +SELECT { TRANSFORM ( named_expression [ , ... ] ) | MAP named_expression [ , ... ] | REDUCE named_expression [ , ... ] } + [ rowFormat ] + [ RECORDWRITER recordWriter_class ] + USING script [ AS ( [ col_name [ col_type ] ] [ , ... ] ) ] + [ rowFormat ] + [ RECORDREADER recordReader_class ] Review comment: done ########## File path: docs/sql-ref-syntax-qry-select-transform.md ########## @@ -0,0 +1,254 @@ +--- +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 specify a Hive-style transform (`SELECT TRANSFORM`/`MAP`/`REDUCE`) +query specification to transform the input by running a specified script. Users can +plug in their own custom mappers or reducers in the data stream by using features natively supported +in the Spark SQL. In order to run a custom mapper script `map_script` or a custom +reducer script `reduce_script` the user can issue the command which uses the `TRANSFORM` +clause to embed the mapper or the reducer scripts. + +### Syntax + +```sql +SELECT { TRANSFORM ( named_expression [ , ... ] ) | MAP named_expression [ , ... ] | REDUCE named_expression [ , ... ] } + [ rowFormat ] + [ RECORDWRITER recordWriter_class ] + USING script [ AS ( [ col_name [ col_type ] ] [ , ... ] ) ] + [ rowFormat ] + [ RECORDREADER recordReader_class ] +``` + +While `rowFormat` are defined as +```sql +{ ROW FORMAT SERDE serde_class [ WITH SERDEPROPERTIES serde_props ] | Review comment: done ########## File path: docs/sql-ref-syntax-qry-select-transform.md ########## @@ -0,0 +1,254 @@ +--- +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 specify a Hive-style transform (`SELECT TRANSFORM`/`MAP`/`REDUCE`) +query specification to transform the input by running a specified script. Users can +plug in their own custom mappers or reducers in the data stream by using features natively supported +in the Spark SQL. In order to run a custom mapper script `map_script` or a custom +reducer script `reduce_script` the user can issue the command which uses the `TRANSFORM` +clause to embed the mapper or the reducer scripts. + +### Syntax + +```sql +SELECT { TRANSFORM ( named_expression [ , ... ] ) | MAP named_expression [ , ... ] | REDUCE named_expression [ , ... ] } + [ rowFormat ] + [ RECORDWRITER recordWriter_class ] + USING script [ AS ( [ col_name [ col_type ] ] [ , ... ] ) ] + [ rowFormat ] + [ RECORDREADER recordReader_class ] +``` + +While `rowFormat` are defined as +```sql +{ ROW FORMAT SERDE serde_class [ WITH SERDEPROPERTIES serde_props ] | + ROW FORMAT DELIMITED + [ FIELDS TERMINATED BY fields_terminated_char [ ESCAPED BY escapedBy ] ] Review comment: done ########## File path: docs/sql-ref-syntax-qry-select-transform.md ########## @@ -0,0 +1,254 @@ +--- +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 specify a Hive-style transform (`SELECT TRANSFORM`/`MAP`/`REDUCE`) +query specification to transform the input by running a specified script. Users can +plug in their own custom mappers or reducers in the data stream by using features natively supported +in the Spark SQL. In order to run a custom mapper script `map_script` or a custom +reducer script `reduce_script` the user can issue the command which uses the `TRANSFORM` +clause to embed the mapper or the reducer scripts. + +### Syntax + +```sql +SELECT { TRANSFORM ( named_expression [ , ... ] ) | MAP named_expression [ , ... ] | REDUCE named_expression [ , ... ] } + [ rowFormat ] + [ RECORDWRITER recordWriter_class ] + USING script [ AS ( [ col_name [ col_type ] ] [ , ... ] ) ] + [ rowFormat ] + [ RECORDREADER recordReader_class ] +``` + +While `rowFormat` are defined as +```sql +{ 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 ] Review comment: done ########## File path: docs/sql-ref-syntax-qry-select-transform.md ########## @@ -0,0 +1,254 @@ +--- +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 specify a Hive-style transform (`SELECT TRANSFORM`/`MAP`/`REDUCE`) +query specification to transform the input by running a specified script. Users can +plug in their own custom mappers or reducers in the data stream by using features natively supported +in the Spark SQL. In order to run a custom mapper script `map_script` or a custom +reducer script `reduce_script` the user can issue the command which uses the `TRANSFORM` +clause to embed the mapper or the reducer scripts. + +### Syntax + +```sql +SELECT { TRANSFORM ( named_expression [ , ... ] ) | MAP named_expression [ , ... ] | REDUCE named_expression [ , ... ] } + [ rowFormat ] + [ RECORDWRITER recordWriter_class ] + USING script [ AS ( [ col_name [ col_type ] ] [ , ... ] ) ] + [ rowFormat ] + [ RECORDREADER recordReader_class ] +``` + +While `rowFormat` are defined as +```sql +{ 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 ] Review comment: done ########## File path: docs/sql-ref-syntax-qry-select-transform.md ########## @@ -0,0 +1,254 @@ +--- +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 specify a Hive-style transform (`SELECT TRANSFORM`/`MAP`/`REDUCE`) +query specification to transform the input by running a specified script. Users can +plug in their own custom mappers or reducers in the data stream by using features natively supported +in the Spark SQL. In order to run a custom mapper script `map_script` or a custom +reducer script `reduce_script` the user can issue the command which uses the `TRANSFORM` +clause to embed the mapper or the reducer scripts. + +### Syntax + +```sql +SELECT { TRANSFORM ( named_expression [ , ... ] ) | MAP named_expression [ , ... ] | REDUCE named_expression [ , ... ] } + [ rowFormat ] + [ RECORDWRITER recordWriter_class ] + USING script [ AS ( [ col_name [ col_type ] ] [ , ... ] ) ] + [ rowFormat ] + [ RECORDREADER recordReader_class ] +``` + +While `rowFormat` are defined as +```sql +{ 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 ] } Review comment: done ########## File path: docs/sql-ref-syntax-qry-select-transform.md ########## @@ -0,0 +1,254 @@ +--- +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 specify a Hive-style transform (`SELECT TRANSFORM`/`MAP`/`REDUCE`) +query specification to transform the input by running a specified script. Users can +plug in their own custom mappers or reducers in the data stream by using features natively supported +in the Spark SQL. In order to run a custom mapper script `map_script` or a custom +reducer script `reduce_script` the user can issue the command which uses the `TRANSFORM` +clause to embed the mapper or the reducer scripts. + +### Syntax + +```sql +SELECT { TRANSFORM ( named_expression [ , ... ] ) | MAP named_expression [ , ... ] | REDUCE named_expression [ , ... ] } + [ rowFormat ] + [ RECORDWRITER recordWriter_class ] + USING script [ AS ( [ col_name [ col_type ] ] [ , ... ] ) ] + [ rowFormat ] + [ RECORDREADER recordReader_class ] +``` + +While `rowFormat` are defined as +```sql +{ 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 ] Review comment: done ########## File path: docs/sql-ref-syntax-qry-select-transform.md ########## @@ -0,0 +1,254 @@ +--- +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 specify a Hive-style transform (`SELECT TRANSFORM`/`MAP`/`REDUCE`) +query specification to transform the input by running a specified script. Users can +plug in their own custom mappers or reducers in the data stream by using features natively supported +in the Spark SQL. In order to run a custom mapper script `map_script` or a custom +reducer script `reduce_script` the user can issue the command which uses the `TRANSFORM` +clause to embed the mapper or the reducer scripts. + +### Syntax + +```sql +SELECT { TRANSFORM ( named_expression [ , ... ] ) | MAP named_expression [ , ... ] | REDUCE named_expression [ , ... ] } + [ rowFormat ] + [ RECORDWRITER recordWriter_class ] Review comment: done -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: [email protected] --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
