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[GitHub] [spark] erenavsarogullari edited a comment on pull request #35536: [SPARK-38222][SQL] Expose Node Description attribute in SQL Rest API

erenavsarogullari edited a comment on pull request #35536:
URL: https://github.com/apache/spark/pull/35536#issuecomment-1042392854


   Thanks @srowen for quick feedback. Please find some samples per operation as follows. I also attach whole sql response to jira in order to give clear idea:
   https://issues.apache.org/jira/secure/attachment/13040136/Spark_SQL_REST_Result_with-nodeDesc
   
   I think on following options:
   - We can exclude `WholeStageCodegen` and if (`nodeName == nodeDesc`) for all use-cases.
   - **Option 1:** We can expose SQLConf in order to include white-listed operators. With this option, the user can define the operator white-list. For example:
   ```
   spark.sql.rest.api.include.operators.from.desc=SortMergeJoin,HashAggregate,Project
   ```
   - **Option 2:** We can also expose another SQLConf if end user wants to see `nodeDesc` of all operators. For example:
   ```
   spark.sql.rest.api.enable.all.operators.desc=false(default)
   ```
   Sample Results:
   ```
   "nodeName" : "SerializeFromObject",
   "nodeDesc" : "SerializeFromObject [knownnotnull(assertnotnull(input[0, org.apache.spark.status.api.v1.sql.Salary, true])).personId AS personId#17, knownnotnull(assertnotnull(input[0, org.apache.spark.status.api.v1.sql.Salary, true])).salary AS salary#18]",
   
   "nodeName" : "Project",
   "nodeDesc" : "Project [personId#17 AS id#24, salary#18]",
   
   "nodeName" : "Exchange",
   "nodeDesc" : "Exchange hashpartitioning(name#5, age#6, salary#18, 5), ENSURE_REQUIREMENTS, [id=#87]",
       
   "nodeName" : "Sort",
   "nodeDesc" : "Sort [id#24 ASC NULLS FIRST], false, 0",
       
   "nodeName" : "Scan",
   "nodeDesc" : "Scan[obj#3]",
       
   "nodeName" : "SortMergeJoin",
   "nodeDesc" : "SortMergeJoin [id#4], [id#24], Inner",
       
   "nodeName" : "HashAggregate",
   "nodeDesc" : "HashAggregate(keys=[name#5, age#6, knownfloatingpointnormalized(normalizenanandzero(salary#18)) AS salary#18], functions=[partial_avg(age#6), partial_avg(salary#18)])",
           
   "nodeName" : "Filter",
   "nodeDesc" : "Filter org.apache.spark.status.api.v1.sql.SqlResourceWithActualMetricsSuite$$Lambda$1666/2062184524@72c9ebfa.apply",
   
   // Following ones need exclusion
   "nodeName" : "WholeStageCodegen (3)",
   "nodeDesc" : "WholeStageCodegen (3)",
   
   "nodeName" : "Project",
   "nodeDesc" : "Project",
   ```


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