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https://issues.apache.org/jira/browse/SPARK-29186?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16937464#comment-16937464
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Tarun Khaneja commented on SPARK-29186:
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[~hyukjin.kwon] I have cleaned the code by adding screenshot.
Please let me know if anything else is require!
> SubqueryAlias name value is null in Spark 2.4.3 Logical plan.
> -------------------------------------------------------------
>
> Key: SPARK-29186
> URL: https://issues.apache.org/jira/browse/SPARK-29186
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 2.4.3
> Environment: I have tried this on AWS Glue with Spark 2.4.3
> and on windows 10 with 2.4.4
> at both of them facing same issue
> Reporter: Tarun Khaneja
> Priority: Blocker
> Fix For: 2.2.1
>
> Attachments: image-2019-09-25-12-17-53-552.png,
> image-2019-09-25-12-21-52-136.png
>
>
> I am writing a program to analyze sql query. So I am using Spark logical
> plan.I am writing a program to analyze sql query. So I am using Spark logical
> plan.
> Below is the code which I am using
>
> {code:java}
> object QueryAnalyzer
> {
> val LOG = LoggerFactory.getLogger(this.getClass) //Spark Conf
>
> val conf = new
> SparkConf().setMaster("local[2]").setAppName("LocalEdlExecutor")
> //Spark Context
> val sc = new SparkContext(conf)
> //sql Context
> val sqlContext = new SQLContext(sc)
>
> //Spark Session
> val sparkSession = SparkSession
> .builder()
> .appName("Spark User Data") .config("spark.app.name", "LocalEdl")
> .getOrCreate()
> def main(args: Array[String])
> {
> var inputDfColumns = Map[String,List[String]]()
> val dfSession = sparkSession.read.format("csv"). option("header",
> "true"). option("inferschema", "true"). option("delimiter",
> ",").option("decoding", "utf8").option("multiline", true)
>
> var oDF = dfSession. load("C:\\Users\\tarun.khaneja\\data\\order.csv")
>
> println("smaple data in oDF====>")
>
> oDF.show()
> var cusDF = dfSession.
> load("C:\\Users\\tarun.khaneja\\data\\customer.csv")
> println("smaple data in cusDF====>") cusDF.show()
> oDF.createOrReplaceTempView("orderTempView")
> cusDF.createOrReplaceTempView("customerTempView")
>
> //get input columns from all dataframe
> inputDfColumns +=
> ("orderTempView"->oDF.columns.toList)
>
> inputDfColumns +=
> ("customerTempView"->cusDF.columns.toList)
>
> val res = sqlContext.sql("""select OID, max(MID+CID) as MID_new,ROW_NUMBER()
> OVER (
> ORDER BY CID) as rn from (select OID_1 as OID,
> CID_1 as CID, OID_1+CID_1 as MID from (select min(ot.OrderID) as OID_1,
> ct.CustomerID as CID_1 from orderTempView as ot inner join customerTempView
> as ct on ot.CustomerID = ct.CustomerID group by
> CID_1)) group by OID,CID""")
> println(res.show(false))
> val analyzedPlan = res.queryExecution.analyzed
> println(analyzedPlan.prettyJson)
> }
> {code}
>
> Now problem is, with *Spark 2.2.1*, I am getting below json. where I have
> SubqueryAlias which provide important information of alias name for table
> which we used in query, as shown below.
> !image-2019-09-25-12-17-53-552.png!
>
> But with Spark 2.4, I am getting SubqueryAlias name as null. As shown below
> in json screenshot
>
> !image-2019-09-25-12-21-52-136.png!
>
> So, I am not sure if it is bug in Spark 2.4 because of which I am getting
> name as null in SubquerAlias.
> Or if it is not bug then how can I get relation between alias name and real
> table name.
> Any idea on this?
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