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Posted to commits@hudi.apache.org by GitBox <gi...@apache.org> on 2022/01/15 05:01:43 UTC
[GitHub] [hudi] XuQianJin-Stars opened a new pull request #4607: [HUDI-3161][RFC-46] Add Call Produce Command for Spark SQL
XuQianJin-Stars opened a new pull request #4607:
URL: https://github.com/apache/hudi/pull/4607
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[GitHub] [hudi] hudi-bot commented on pull request #4607: [HUDI-3161][RFC-46] Add Call Produce Command for Spark SQL
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on pull request #4607:
URL: https://github.com/apache/hudi/pull/4607#issuecomment-1013614115
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[GitHub] [hudi] hudi-bot removed a comment on pull request #4607: [HUDI-3161][RFC-47] Add Call Produce Command for Spark SQL
Posted by GitBox <gi...@apache.org>.
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URL: https://github.com/apache/hudi/pull/4607#issuecomment-1029637399
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[GitHub] [hudi] hudi-bot commented on pull request #4607: [HUDI-3161][RFC-46] Add Call Produce Command for Spark SQL
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on pull request #4607:
URL: https://github.com/apache/hudi/pull/4607#issuecomment-1015397830
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[GitHub] [hudi] hudi-bot commented on pull request #4607: [HUDI-3161][RFC-46] Add Call Produce Command for Spark SQL
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on pull request #4607:
URL: https://github.com/apache/hudi/pull/4607#issuecomment-1013613746
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[GitHub] [hudi] hudi-bot commented on pull request #4607: [HUDI-3161][RFC-47] Add Call Produce Command for Spark SQL
Posted by GitBox <gi...@apache.org>.
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[GitHub] [hudi] hudi-bot commented on pull request #4607: [HUDI-3161][RFC-47] Add Call Produce Command for Spark SQL
Posted by GitBox <gi...@apache.org>.
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[GitHub] [hudi] XuQianJin-Stars commented on pull request #4607: [HUDI-3161][RFC-47] Add Call Produce Command for Spark SQL
Posted by GitBox <gi...@apache.org>.
XuQianJin-Stars commented on pull request #4607:
URL: https://github.com/apache/hudi/pull/4607#issuecomment-1047677729
> @XuQianJin-Stars thanks for the RFC. 2 main points to highlight
>
> * it'd be helpful to see a complete end-to-end example to illustrate the features, in addition to describing the implementation logic
> * any consideration on security? as it's vulnerable to attacks like SQL injection, there better be some logic to mitigate this sort of vulnerabilities. would be helpful to highlight it here
Here are two concrete usage examples.
https://github.com/apache/hudi/blob/44f52627deee3a2c6b004811527b351f43dfeec1/hudi-spark-datasource/hudi-spark/src/test/scala/org/apache/spark/sql/hudi/TestCallProcedure.scala#L82
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[GitHub] [hudi] hudi-bot commented on pull request #4607: [HUDI-3161][RFC-47] Add Call Produce Command for Spark SQL
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[GitHub] [hudi] hudi-bot commented on pull request #4607: [HUDI-3161][RFC-47] Add Call Produce Command for Spark SQL
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[GitHub] [hudi] hudi-bot commented on pull request #4607: [HUDI-3161][RFC-47] Add Call Produce Command for Spark SQL
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[GitHub] [hudi] hudi-bot commented on pull request #4607: [HUDI-3161][RFC-46] Add Call Produce Command for Spark SQL
Posted by GitBox <gi...@apache.org>.
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[GitHub] [hudi] XuQianJin-Stars commented on pull request #4607: [HUDI-3161][RFC-47] Add Call Produce Command for Spark SQL
Posted by GitBox <gi...@apache.org>.
XuQianJin-Stars commented on pull request #4607:
URL: https://github.com/apache/hudi/pull/4607#issuecomment-1049434256
hi @vinothchandar Do you have time to look at this PR?
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[GitHub] [hudi] hudi-bot commented on pull request #4607: [HUDI-3161][RFC-47] Add Call Produce Command for Spark SQL
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[GitHub] [hudi] XuQianJin-Stars commented on a change in pull request #4607: [HUDI-3161][RFC-47] Add Call Produce Command for Spark SQL
Posted by GitBox <gi...@apache.org>.
XuQianJin-Stars commented on a change in pull request #4607:
URL: https://github.com/apache/hudi/pull/4607#discussion_r811731488
##########
File path: rfc/rfc-47/rfc-47.md
##########
@@ -0,0 +1,80 @@
+<!--
+ 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.
+-->
+
+# RFC-[47]: Add RFC for Add Call Produce Command for Spark SQL
+
+
+## Proposers
+- @forwardxu
+
+## Approvers
+ - @vinoth @Danny @Raymond
+
+## Status
+
+JIRA: [https://issues.apache.org/jira/browse/HUDI-3161](https://issues.apache.org/jira/browse/HUDI-3161)
+
+## Abstract
+
+We intend to implement Call Procedure Command for Spark SQL.
+
+## Background
+The Call Procedure Command can solve the problems that DDL and DML functions cannot handle. What I can think of are the following 4 aspects:
+- Commit management
+- Metadata table management
+- Table migration
+- Optimization table
Review comment:
> what does "Optimization table" mean? is it about table services like clustering ?
yes
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[GitHub] [hudi] hudi-bot commented on pull request #4607: [HUDI-3161][RFC-47] Add Call Produce Command for Spark SQL
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[GitHub] [hudi] hudi-bot commented on pull request #4607: [HUDI-3161][RFC-47] Add Call Produce Command for Spark SQL
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[GitHub] [hudi] hudi-bot commented on pull request #4607: [HUDI-3161][RFC-47] Add Call Produce Command for Spark SQL
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on pull request #4607:
URL: https://github.com/apache/hudi/pull/4607#issuecomment-1047602526
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[GitHub] [hudi] xushiyan commented on a change in pull request #4607: [HUDI-3161][RFC-47] Add Call Produce Command for Spark SQL
Posted by GitBox <gi...@apache.org>.
xushiyan commented on a change in pull request #4607:
URL: https://github.com/apache/hudi/pull/4607#discussion_r811681077
##########
File path: rfc/rfc-47/rfc-47.md
##########
@@ -0,0 +1,80 @@
+<!--
+ 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.
+-->
+
+# RFC-[47]: Add RFC for Add Call Produce Command for Spark SQL
+
+
+## Proposers
+- @forwardxu
+
+## Approvers
+ - @vinoth @Danny @Raymond
+
+## Status
+
+JIRA: [https://issues.apache.org/jira/browse/HUDI-3161](https://issues.apache.org/jira/browse/HUDI-3161)
+
+## Abstract
+
+We intend to implement Call Procedure Command for Spark SQL.
+
+## Background
+The Call Procedure Command can solve the problems that DDL and DML functions cannot handle. What I can think of are the following 4 aspects:
+- Commit management
+- Metadata table management
+- Table migration
+- Optimization table
Review comment:
what does "Optimization table" mean? is it about table services like clustering ?
##########
File path: rfc/rfc-47/rfc-47.md
##########
@@ -0,0 +1,80 @@
+<!--
+ 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.
+-->
+
+# RFC-[47]: Add RFC for Add Call Produce Command for Spark SQL
+
+
+## Proposers
+- @forwardxu
+
+## Approvers
+ - @vinoth @Danny @Raymond
+
+## Status
+
+JIRA: [https://issues.apache.org/jira/browse/HUDI-3161](https://issues.apache.org/jira/browse/HUDI-3161)
+
+## Abstract
+
+We intend to implement Call Procedure Command for Spark SQL.
+
+## Background
+The Call Procedure Command can solve the problems that DDL and DML functions cannot handle. What I can think of are the following 4 aspects:
+- Commit management
+- Metadata table management
+- Table migration
+- Optimization table
+
+## Implementation
+
+### Extended SQL for CALL Command Syntax
+#### Named arguments
+All procedure arguments are named. When passing arguments by name, arguments can be in any order and any optional argument can be omitted.
+```
+CALL system.procedure_name(arg_name_2 => arg_2, arg_name_1 => arg_1, ... arg_name_n => arg_n)
+```
+#### Positional arguments
+When passing arguments by position, the arguments may be omitted if they are optional.
+```
+CALL system.procedure_name(arg_1, arg_2, ... arg_n)
+```
+*note:* The system here has no practical meaning, the complete procedure name is system.procedure_name.
+
+
+
+As shown in the figure above, The execution process of Call Command consists of two parts, SQL Parser and Procedure Run.
+
+### parse
+In the sql parse stage, we will inject a HoodieSqlParser to spark sql which will parse our extended `CALL` syntax to LogicalPlan. If the HoodieSqlParser failed to parse the sql
+
+statement, spark will rout it to spark’s sql parser. So we just need to implement our extended syntax in the HoodieSqlParser.
Review comment:
```suggestion
statement, Spark will route it to Spark SQL parser. So we just need to implement our extended syntax in `HoodieSqlParser`.
```
also redundant new line above
##########
File path: rfc/rfc-46/rfc-46.md
##########
@@ -14,6 +14,7 @@
See the License for the specific language governing permissions and
limitations under the License.
-->
+
Review comment:
should avoid having diff in another RFC document.
##########
File path: rfc/rfc-47/rfc-47.md
##########
@@ -0,0 +1,80 @@
+<!--
+ 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.
+-->
+
+# RFC-[47]: Add RFC for Add Call Produce Command for Spark SQL
+
+
+## Proposers
+- @forwardxu
+
+## Approvers
+ - @vinoth @Danny @Raymond
+
+## Status
+
+JIRA: [https://issues.apache.org/jira/browse/HUDI-3161](https://issues.apache.org/jira/browse/HUDI-3161)
+
+## Abstract
+
+We intend to implement Call Procedure Command for Spark SQL.
+
+## Background
+The Call Procedure Command can solve the problems that DDL and DML functions cannot handle. What I can think of are the following 4 aspects:
+- Commit management
+- Metadata table management
+- Table migration
+- Optimization table
+
+## Implementation
+
+### Extended SQL for CALL Command Syntax
+#### Named arguments
+All procedure arguments are named. When passing arguments by name, arguments can be in any order and any optional argument can be omitted.
+```
+CALL system.procedure_name(arg_name_2 => arg_2, arg_name_1 => arg_1, ... arg_name_n => arg_n)
+```
+#### Positional arguments
+When passing arguments by position, the arguments may be omitted if they are optional.
+```
+CALL system.procedure_name(arg_1, arg_2, ... arg_n)
+```
+*note:* The system here has no practical meaning, the complete procedure name is system.procedure_name.
+
+
+
+As shown in the figure above, The execution process of Call Command consists of two parts, SQL Parser and Procedure Run.
+
+### parse
+In the sql parse stage, we will inject a HoodieSqlParser to spark sql which will parse our extended `CALL` syntax to LogicalPlan. If the HoodieSqlParser failed to parse the sql
+
+statement, spark will rout it to spark’s sql parser. So we just need to implement our extended syntax in the HoodieSqlParser.
+
+### resolution
+In the resolution stage, some hoodie resolution rules will be injected to spark sql to resolve our extended LogicalPlan to the resolve plan which is a command plan for `CALL`.
+
+### procedure#call
+The Procedure#call method will translate the logical plan to hoodie’s api call. For example the `ShowCommitsProcedure` will translate to hoodie’s api for show commits to hoodie.
Review comment:
```suggestion
The `procedure#call` method will translate the logical plan to Hudi's API call. For example, the `ShowCommitsProcedure` will be translated to Hudi API for showing Hudi timeline's commits.
```
##########
File path: rfc/rfc-47/rfc-47.md
##########
@@ -0,0 +1,80 @@
+<!--
+ 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.
+-->
+
+# RFC-[47]: Add RFC for Add Call Produce Command for Spark SQL
+
+
+## Proposers
+- @forwardxu
+
+## Approvers
+ - @vinoth @Danny @Raymond
+
+## Status
+
+JIRA: [https://issues.apache.org/jira/browse/HUDI-3161](https://issues.apache.org/jira/browse/HUDI-3161)
+
+## Abstract
+
+We intend to implement Call Procedure Command for Spark SQL.
+
+## Background
+The Call Procedure Command can solve the problems that DDL and DML functions cannot handle. What I can think of are the following 4 aspects:
+- Commit management
+- Metadata table management
+- Table migration
+- Optimization table
+
+## Implementation
+
+### Extended SQL for CALL Command Syntax
+#### Named arguments
+All procedure arguments are named. When passing arguments by name, arguments can be in any order and any optional argument can be omitted.
+```
+CALL system.procedure_name(arg_name_2 => arg_2, arg_name_1 => arg_1, ... arg_name_n => arg_n)
+```
+#### Positional arguments
+When passing arguments by position, the arguments may be omitted if they are optional.
+```
+CALL system.procedure_name(arg_1, arg_2, ... arg_n)
+```
+*note:* The system here has no practical meaning, the complete procedure name is system.procedure_name.
+
+
+
+As shown in the figure above, The execution process of Call Command consists of two parts, SQL Parser and Procedure Run.
+
+### parse
+In the sql parse stage, we will inject a HoodieSqlParser to spark sql which will parse our extended `CALL` syntax to LogicalPlan. If the HoodieSqlParser failed to parse the sql
+
+statement, spark will rout it to spark’s sql parser. So we just need to implement our extended syntax in the HoodieSqlParser.
+
+### resolution
+In the resolution stage, some hoodie resolution rules will be injected to spark sql to resolve our extended LogicalPlan to the resolve plan which is a command plan for `CALL`.
Review comment:
```suggestion
In the resolution stage, some Hudi resolution rules will be injected to Spark SQL to resolve our extended LogicalPlan to the resolve plan which is a command plan for `CALL`.
```
##########
File path: rfc/rfc-47/rfc-47.md
##########
@@ -0,0 +1,80 @@
+<!--
+ 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.
+-->
+
+# RFC-[47]: Add RFC for Add Call Produce Command for Spark SQL
+
+
+## Proposers
+- @forwardxu
+
+## Approvers
+ - @vinoth @Danny @Raymond
+
+## Status
+
+JIRA: [https://issues.apache.org/jira/browse/HUDI-3161](https://issues.apache.org/jira/browse/HUDI-3161)
+
+## Abstract
+
+We intend to implement Call Procedure Command for Spark SQL.
+
+## Background
+The Call Procedure Command can solve the problems that DDL and DML functions cannot handle. What I can think of are the following 4 aspects:
+- Commit management
+- Metadata table management
+- Table migration
+- Optimization table
+
+## Implementation
+
+### Extended SQL for CALL Command Syntax
+#### Named arguments
+All procedure arguments are named. When passing arguments by name, arguments can be in any order and any optional argument can be omitted.
+```
+CALL system.procedure_name(arg_name_2 => arg_2, arg_name_1 => arg_1, ... arg_name_n => arg_n)
+```
+#### Positional arguments
+When passing arguments by position, the arguments may be omitted if they are optional.
+```
+CALL system.procedure_name(arg_1, arg_2, ... arg_n)
+```
+*note:* The system here has no practical meaning, the complete procedure name is system.procedure_name.
+
+
+
+As shown in the figure above, The execution process of Call Command consists of two parts, SQL Parser and Procedure Run.
+
+### parse
+In the sql parse stage, we will inject a HoodieSqlParser to spark sql which will parse our extended `CALL` syntax to LogicalPlan. If the HoodieSqlParser failed to parse the sql
+
+statement, spark will rout it to spark’s sql parser. So we just need to implement our extended syntax in the HoodieSqlParser.
+
+### resolution
+In the resolution stage, some hoodie resolution rules will be injected to spark sql to resolve our extended LogicalPlan to the resolve plan which is a command plan for `CALL`.
+
+### procedure#call
+The Procedure#call method will translate the logical plan to hoodie’s api call. For example the `ShowCommitsProcedure` will translate to hoodie’s api for show commits to hoodie.
+
+## Rollout/Adoption Plan
+
+This is a new feature can use Spark SQL works with Spark-2.4.3+ & Spark 3.x versions.
Review comment:
for easy maintenance, I suggest only support this in spark 3.2+
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[GitHub] [hudi] hudi-bot removed a comment on pull request #4607: [HUDI-3161][RFC-47] Add Call Produce Command for Spark SQL
Posted by GitBox <gi...@apache.org>.
hudi-bot removed a comment on pull request #4607:
URL: https://github.com/apache/hudi/pull/4607#issuecomment-1048391702
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[GitHub] [hudi] hudi-bot commented on pull request #4607: [HUDI-3161][RFC-47] Add Call Produce Command for Spark SQL
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[GitHub] [hudi] XuQianJin-Stars commented on a change in pull request #4607: [HUDI-3161][RFC-47] Add Call Produce Command for Spark SQL
Posted by GitBox <gi...@apache.org>.
XuQianJin-Stars commented on a change in pull request #4607:
URL: https://github.com/apache/hudi/pull/4607#discussion_r811733132
##########
File path: rfc/rfc-47/rfc-47.md
##########
@@ -0,0 +1,80 @@
+<!--
+ 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.
+-->
+
+# RFC-[47]: Add RFC for Add Call Produce Command for Spark SQL
+
+
+## Proposers
+- @forwardxu
+
+## Approvers
+ - @vinoth @Danny @Raymond
+
+## Status
+
+JIRA: [https://issues.apache.org/jira/browse/HUDI-3161](https://issues.apache.org/jira/browse/HUDI-3161)
+
+## Abstract
+
+We intend to implement Call Procedure Command for Spark SQL.
+
+## Background
+The Call Procedure Command can solve the problems that DDL and DML functions cannot handle. What I can think of are the following 4 aspects:
+- Commit management
+- Metadata table management
+- Table migration
+- Optimization table
+
+## Implementation
+
+### Extended SQL for CALL Command Syntax
+#### Named arguments
+All procedure arguments are named. When passing arguments by name, arguments can be in any order and any optional argument can be omitted.
+```
+CALL system.procedure_name(arg_name_2 => arg_2, arg_name_1 => arg_1, ... arg_name_n => arg_n)
+```
+#### Positional arguments
+When passing arguments by position, the arguments may be omitted if they are optional.
+```
+CALL system.procedure_name(arg_1, arg_2, ... arg_n)
+```
+*note:* The system here has no practical meaning, the complete procedure name is system.procedure_name.
+
+
+
+As shown in the figure above, The execution process of Call Command consists of two parts, SQL Parser and Procedure Run.
+
+### parse
+In the sql parse stage, we will inject a HoodieSqlParser to spark sql which will parse our extended `CALL` syntax to LogicalPlan. If the HoodieSqlParser failed to parse the sql
+
+statement, spark will rout it to spark’s sql parser. So we just need to implement our extended syntax in the HoodieSqlParser.
+
+### resolution
+In the resolution stage, some hoodie resolution rules will be injected to spark sql to resolve our extended LogicalPlan to the resolve plan which is a command plan for `CALL`.
+
+### procedure#call
+The Procedure#call method will translate the logical plan to hoodie’s api call. For example the `ShowCommitsProcedure` will translate to hoodie’s api for show commits to hoodie.
+
+## Rollout/Adoption Plan
+
+This is a new feature can use Spark SQL works with Spark-2.4.3+ & Spark 3.x versions.
Review comment:
> for easy maintenance, I suggest only support this in spark 3.2+
This is extra syntax that doesn't depend on the spark version to be exact.
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[GitHub] [hudi] xushiyan merged pull request #4607: [HUDI-3161][RFC-47] Add Call Produce Command for Spark SQL
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[GitHub] [hudi] nsivabalan commented on pull request #4607: [HUDI-3161][RFC-46] Add Call Produce Command for Spark SQL
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+1 on the feature
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