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https://issues.apache.org/jira/browse/SPARK-29186?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Tarun Khaneja updated SPARK-29186:
----------------------------------
Description:
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
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", EdlConstants.TRUE). option("inferschema",
EdlConstants.TRUE). option("delimiter", ","). option("decoding",
EdlConstants.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) }
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.
... ... ... [ \{ "class" :
"org.apache.spark.sql.catalyst.expressions.AttributeReference", "num-children"
: 0, "name" : "OrderDate", "dataType" : "string", "nullable" : true, "metadata"
: { }, "exprId" : \{ "product-class" :
"org.apache.spark.sql.catalyst.expressions.ExprId", "id" : 2, "jvmId" :
"acefe6e6-e469-4c9a-8a36-5694f054dc0a" }, "isGenerated" : false } ] ] }, {
"class" : "org.apache.spark.sql.catalyst.plans.logical.**SubqueryAlias**",
"num-children" : 1, "alias" : "ct", "child" : 0 }, { "class" :
"org.apache.spark.sql.catalyst.plans.logical.**SubqueryAlias**",
"num-children" : 1, "alias" : "customertempview", "child" : 0 }, {
"class" : "org.apache.spark.sql.execution.datasources.LogicalRelation",
"num-children" : 0, "relation" : null, "output" :
... ... ...
But with *Spark 2.4.3*, I am getting SubqueryAlias name as null. As shown
below in json.
... ... \{ "class":
"org.apache.spark.sql.catalyst.expressions.AttributeReference", "num-children":
0, "name": "CustomerID", "dataType": "integer", "nullable": true, "metadata":
{}, "exprId": \{ "product-class":
"org.apache.spark.sql.catalyst.expressions.ExprId", "id": 19, "jvmId":
"3b0dde0c-0b8f-4c63-a3ed-4dba526f8331" }, "qualifier": "[ct]" }] }, { "class":
"org.apache.spark.sql.catalyst.plans.logical.**SubqueryAlias**",
"num-children": 1, "name": null, "child": 0 }, { "class":
"org.apache.spark.sql.catalyst.plans.logical.**SubqueryAlias**",
"num-children": 1, "name": null, "child": 0 }, { "class":
"org.apache.spark.sql.execution.datasources.LogicalRelation", "num-children":
0, "relation": null, "output":
... ...
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?
was:
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
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", EdlConstants.TRUE).
option("inferschema", EdlConstants.TRUE). option("delimiter", ",").
option("decoding", EdlConstants.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) }
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.
... ... ... [ \{ "class" :
"org.apache.spark.sql.catalyst.expressions.AttributeReference", "num-children"
: 0, "name" : "OrderDate", "dataType" : "string", "nullable" : true, "metadata"
: { }, "exprId" : \{ "product-class" :
"org.apache.spark.sql.catalyst.expressions.ExprId", "id" : 2, "jvmId" :
"acefe6e6-e469-4c9a-8a36-5694f054dc0a" }, "isGenerated" : false } ] ] }, \{
"class" : "org.apache.spark.sql.catalyst.plans.logical.**SubqueryAlias**",
"num-children" : 1, "alias" : "ct", "child" : 0 }, \{ "class" :
"org.apache.spark.sql.catalyst.plans.logical.**SubqueryAlias**",
"num-children" : 1, "alias" : "customertempview", "child" : 0 }, {
"class" : "org.apache.spark.sql.execution.datasources.LogicalRelation",
"num-children" : 0, "relation" : null, "output" :
... ... ...
But with Spark 2.4, I am getting SubqueryAlias name as null. As shown below in
json.
... ... \{ "class":
"org.apache.spark.sql.catalyst.expressions.AttributeReference", "num-children":
0, "name": "CustomerID", "dataType": "integer", "nullable": true, "metadata":
{}, "exprId": \{ "product-class":
"org.apache.spark.sql.catalyst.expressions.ExprId", "id": 19, "jvmId":
"3b0dde0c-0b8f-4c63-a3ed-4dba526f8331" }, "qualifier": "[ct]" }] }, \{ "class":
"org.apache.spark.sql.catalyst.plans.logical.**SubqueryAlias**",
"num-children": 1, "name": null, "child": 0 }, \{ "class":
"org.apache.spark.sql.catalyst.plans.logical.**SubqueryAlias**",
"num-children": 1, "name": null, "child": 0 }, { "class":
"org.apache.spark.sql.execution.datasources.LogicalRelation", "num-children":
0, "relation": null, "output":
... ...
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?
> SubqueryAlias name value is null in Spark 2.4 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
>
>
> 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
> 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", EdlConstants.TRUE). option("inferschema",
> EdlConstants.TRUE). option("delimiter", ","). option("decoding",
> EdlConstants.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)
> }
>
> 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.
> ... ... ... [ \{ "class" :
> "org.apache.spark.sql.catalyst.expressions.AttributeReference",
> "num-children" : 0, "name" : "OrderDate", "dataType" : "string", "nullable" :
> true, "metadata" : { }, "exprId" : \{ "product-class" :
> "org.apache.spark.sql.catalyst.expressions.ExprId", "id" : 2, "jvmId" :
> "acefe6e6-e469-4c9a-8a36-5694f054dc0a" }, "isGenerated" : false } ] ] }, {
> "class" : "org.apache.spark.sql.catalyst.plans.logical.**SubqueryAlias**",
> "num-children" : 1, "alias" : "ct", "child" : 0 }, { "class" :
> "org.apache.spark.sql.catalyst.plans.logical.**SubqueryAlias**",
> "num-children" : 1, "alias" : "customertempview", "child" : 0 }, {
> "class" : "org.apache.spark.sql.execution.datasources.LogicalRelation",
> "num-children" : 0, "relation" : null, "output" :
> ... ... ...
> But with *Spark 2.4.3*, I am getting SubqueryAlias name as null. As shown
> below in json.
> ... ... \{ "class":
> "org.apache.spark.sql.catalyst.expressions.AttributeReference",
> "num-children": 0, "name": "CustomerID", "dataType": "integer", "nullable":
> true, "metadata": {}, "exprId": \{ "product-class":
> "org.apache.spark.sql.catalyst.expressions.ExprId", "id": 19, "jvmId":
> "3b0dde0c-0b8f-4c63-a3ed-4dba526f8331" }, "qualifier": "[ct]" }] }, {
> "class": "org.apache.spark.sql.catalyst.plans.logical.**SubqueryAlias**",
> "num-children": 1, "name": null, "child": 0 }, { "class":
> "org.apache.spark.sql.catalyst.plans.logical.**SubqueryAlias**",
> "num-children": 1, "name": null, "child": 0 }, { "class":
> "org.apache.spark.sql.execution.datasources.LogicalRelation", "num-children":
> 0, "relation": null, "output":
> ... ...
> 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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