Dataframereader and null pointer exception
import org.apache.commons.io.IOUtils
import java.net.URL
import java.nio.charset.Charset
import org.apache.spark.sql.types._
import java.util.Calendar
import java.text.SimpleDateFormat
import org.apache.spark.sql._
import java.sql.Timestamp
val SRVY_DF=spark.read.format("jdbc")
.option("url","jdbc:teradata://teradata-dns-sysa.fg.rbc.com")
.option("driver","com.teradata.jdbc.TeraDriver")
.option("dbtable","DDWV21.SRVY")
.option("user","ph9au")
.option("password","H9aoserviceID")
.option("dbtable",s"(SELECT extract (year from CXC.CAL_DT) || cast ((cast(cxc.cal_dt as format 'mmm')) as char(3)) as prtn ,CXC.CAL_DT, CP.* FROM DL_2015_PMD_POC.CALL_PURPOSE CP INNER JOIN DL_2015_PMD_POC.MTRC_CALLXCALL CXC ON CP.INTCN_RSRC_ID=CXC.INTCN_RSRC_ID WHERE CAL_DT<='2016-10-31') as st")
.load()
-- not the above loads a dataframereader cause of the use of the .option(). Hence show() and printSchema() dont work on a dataframereader but will work if it was a dataframe
SRVY_DF.write.partitionBy("prtn").mode(SaveMode.Overwrite).parquet("hdfs:/prod/11323/app/H9A0/data/Call_Purpose/CP.parquet")
I am getting the same error , although i have used load.
When i change the code to call load explicitly , it works
val SRVY_DF=spark.read.format("jdbc")
.option("url","jdbc:teradata://teradata-dns-sysa.fg.rbc.com")
.option("driver","com.teradata.jdbc.TeraDriver")
.option("dbtable","DDWV21.SRVY")
.option("user","ph9au")
.option("password","H9aoserviceID")
.option("dbtable",s"(SELECT extract (year from CXC.CAL_DT) || cast ((cast(cxc.cal_dt as format 'mmm')) as char(3)) as prtn ,CXC.CAL_DT, CP.* FROM DL_2015_PMD_POC.CALL_PURPOSE CP INNER JOIN DL_2015_PMD_POC.MTRC_CALLXCALL CXC ON CP.INTCN_RSRC_ID=CXC.INTCN_RSRC_ID WHERE CAL_DT<='2016-10-31') as st")
val df2=SRVY_DF.load()
When i attempt to write it though it gives a java.lang.null pointer exception
df2.write.mode(SaveMode.Overwrite).parquet("hdfs:/prod/11323/app/H9A0/data/Call_Purpose/CP.parquet")
scala dataframe nullpointerexception
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import org.apache.commons.io.IOUtils
import java.net.URL
import java.nio.charset.Charset
import org.apache.spark.sql.types._
import java.util.Calendar
import java.text.SimpleDateFormat
import org.apache.spark.sql._
import java.sql.Timestamp
val SRVY_DF=spark.read.format("jdbc")
.option("url","jdbc:teradata://teradata-dns-sysa.fg.rbc.com")
.option("driver","com.teradata.jdbc.TeraDriver")
.option("dbtable","DDWV21.SRVY")
.option("user","ph9au")
.option("password","H9aoserviceID")
.option("dbtable",s"(SELECT extract (year from CXC.CAL_DT) || cast ((cast(cxc.cal_dt as format 'mmm')) as char(3)) as prtn ,CXC.CAL_DT, CP.* FROM DL_2015_PMD_POC.CALL_PURPOSE CP INNER JOIN DL_2015_PMD_POC.MTRC_CALLXCALL CXC ON CP.INTCN_RSRC_ID=CXC.INTCN_RSRC_ID WHERE CAL_DT<='2016-10-31') as st")
.load()
-- not the above loads a dataframereader cause of the use of the .option(). Hence show() and printSchema() dont work on a dataframereader but will work if it was a dataframe
SRVY_DF.write.partitionBy("prtn").mode(SaveMode.Overwrite).parquet("hdfs:/prod/11323/app/H9A0/data/Call_Purpose/CP.parquet")
I am getting the same error , although i have used load.
When i change the code to call load explicitly , it works
val SRVY_DF=spark.read.format("jdbc")
.option("url","jdbc:teradata://teradata-dns-sysa.fg.rbc.com")
.option("driver","com.teradata.jdbc.TeraDriver")
.option("dbtable","DDWV21.SRVY")
.option("user","ph9au")
.option("password","H9aoserviceID")
.option("dbtable",s"(SELECT extract (year from CXC.CAL_DT) || cast ((cast(cxc.cal_dt as format 'mmm')) as char(3)) as prtn ,CXC.CAL_DT, CP.* FROM DL_2015_PMD_POC.CALL_PURPOSE CP INNER JOIN DL_2015_PMD_POC.MTRC_CALLXCALL CXC ON CP.INTCN_RSRC_ID=CXC.INTCN_RSRC_ID WHERE CAL_DT<='2016-10-31') as st")
val df2=SRVY_DF.load()
When i attempt to write it though it gives a java.lang.null pointer exception
df2.write.mode(SaveMode.Overwrite).parquet("hdfs:/prod/11323/app/H9A0/data/Call_Purpose/CP.parquet")
scala dataframe nullpointerexception
add a comment |
import org.apache.commons.io.IOUtils
import java.net.URL
import java.nio.charset.Charset
import org.apache.spark.sql.types._
import java.util.Calendar
import java.text.SimpleDateFormat
import org.apache.spark.sql._
import java.sql.Timestamp
val SRVY_DF=spark.read.format("jdbc")
.option("url","jdbc:teradata://teradata-dns-sysa.fg.rbc.com")
.option("driver","com.teradata.jdbc.TeraDriver")
.option("dbtable","DDWV21.SRVY")
.option("user","ph9au")
.option("password","H9aoserviceID")
.option("dbtable",s"(SELECT extract (year from CXC.CAL_DT) || cast ((cast(cxc.cal_dt as format 'mmm')) as char(3)) as prtn ,CXC.CAL_DT, CP.* FROM DL_2015_PMD_POC.CALL_PURPOSE CP INNER JOIN DL_2015_PMD_POC.MTRC_CALLXCALL CXC ON CP.INTCN_RSRC_ID=CXC.INTCN_RSRC_ID WHERE CAL_DT<='2016-10-31') as st")
.load()
-- not the above loads a dataframereader cause of the use of the .option(). Hence show() and printSchema() dont work on a dataframereader but will work if it was a dataframe
SRVY_DF.write.partitionBy("prtn").mode(SaveMode.Overwrite).parquet("hdfs:/prod/11323/app/H9A0/data/Call_Purpose/CP.parquet")
I am getting the same error , although i have used load.
When i change the code to call load explicitly , it works
val SRVY_DF=spark.read.format("jdbc")
.option("url","jdbc:teradata://teradata-dns-sysa.fg.rbc.com")
.option("driver","com.teradata.jdbc.TeraDriver")
.option("dbtable","DDWV21.SRVY")
.option("user","ph9au")
.option("password","H9aoserviceID")
.option("dbtable",s"(SELECT extract (year from CXC.CAL_DT) || cast ((cast(cxc.cal_dt as format 'mmm')) as char(3)) as prtn ,CXC.CAL_DT, CP.* FROM DL_2015_PMD_POC.CALL_PURPOSE CP INNER JOIN DL_2015_PMD_POC.MTRC_CALLXCALL CXC ON CP.INTCN_RSRC_ID=CXC.INTCN_RSRC_ID WHERE CAL_DT<='2016-10-31') as st")
val df2=SRVY_DF.load()
When i attempt to write it though it gives a java.lang.null pointer exception
df2.write.mode(SaveMode.Overwrite).parquet("hdfs:/prod/11323/app/H9A0/data/Call_Purpose/CP.parquet")
scala dataframe nullpointerexception
import org.apache.commons.io.IOUtils
import java.net.URL
import java.nio.charset.Charset
import org.apache.spark.sql.types._
import java.util.Calendar
import java.text.SimpleDateFormat
import org.apache.spark.sql._
import java.sql.Timestamp
val SRVY_DF=spark.read.format("jdbc")
.option("url","jdbc:teradata://teradata-dns-sysa.fg.rbc.com")
.option("driver","com.teradata.jdbc.TeraDriver")
.option("dbtable","DDWV21.SRVY")
.option("user","ph9au")
.option("password","H9aoserviceID")
.option("dbtable",s"(SELECT extract (year from CXC.CAL_DT) || cast ((cast(cxc.cal_dt as format 'mmm')) as char(3)) as prtn ,CXC.CAL_DT, CP.* FROM DL_2015_PMD_POC.CALL_PURPOSE CP INNER JOIN DL_2015_PMD_POC.MTRC_CALLXCALL CXC ON CP.INTCN_RSRC_ID=CXC.INTCN_RSRC_ID WHERE CAL_DT<='2016-10-31') as st")
.load()
-- not the above loads a dataframereader cause of the use of the .option(). Hence show() and printSchema() dont work on a dataframereader but will work if it was a dataframe
SRVY_DF.write.partitionBy("prtn").mode(SaveMode.Overwrite).parquet("hdfs:/prod/11323/app/H9A0/data/Call_Purpose/CP.parquet")
I am getting the same error , although i have used load.
When i change the code to call load explicitly , it works
val SRVY_DF=spark.read.format("jdbc")
.option("url","jdbc:teradata://teradata-dns-sysa.fg.rbc.com")
.option("driver","com.teradata.jdbc.TeraDriver")
.option("dbtable","DDWV21.SRVY")
.option("user","ph9au")
.option("password","H9aoserviceID")
.option("dbtable",s"(SELECT extract (year from CXC.CAL_DT) || cast ((cast(cxc.cal_dt as format 'mmm')) as char(3)) as prtn ,CXC.CAL_DT, CP.* FROM DL_2015_PMD_POC.CALL_PURPOSE CP INNER JOIN DL_2015_PMD_POC.MTRC_CALLXCALL CXC ON CP.INTCN_RSRC_ID=CXC.INTCN_RSRC_ID WHERE CAL_DT<='2016-10-31') as st")
val df2=SRVY_DF.load()
When i attempt to write it though it gives a java.lang.null pointer exception
df2.write.mode(SaveMode.Overwrite).parquet("hdfs:/prod/11323/app/H9A0/data/Call_Purpose/CP.parquet")
scala dataframe nullpointerexception
scala dataframe nullpointerexception
asked Nov 22 at 19:22
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