java.lang.RuntimeException: Append mode is not supported by com.databricks.spark.xml.DefaultSource15

GitHub | deepakmundhada | 5 months ago
  1. 0

    GitHub comment 156#229271600

    GitHub | 5 months ago | deepakmundhada
    java.lang.RuntimeException: Append mode is not supported by com.databricks.spark.xml.DefaultSource15
  2. 0

    Can I create a function in Spark SQL?

    Stack Overflow | 2 years ago | user3826955
    java.lang.RuntimeException: [1.1] failure:</code>INSERT'' expected but identifier CREATE found</p> <p>CREATE OR REPLACE FUNCTION apply_rules (pcode VARCHAR2) RETURN BOOLEAN AS LANGUAGE JAVA NAME 'main.scala.GroovyIntegrator.applyRules (java.lang.String) return java.lang.Boolean'; ^
  3. 0

    Append Mode is not Enabled for AvroSaver

    GitHub | 1 year ago | mkanchwala
    java.lang.RuntimeException: Append mode is not supported by com.databricks.spark.avro.DefaultSource
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  5. 0

    Saving / exporting transformed DataFrame back to JDBC / MySQL

    Stack Overflow | 1 year ago | Matt Zukowski
    java.lang.RuntimeException: org.apache.spark.sql.execution.datasources.jdbc.DefaultSource does not allow create table as select.
  6. 0

    GC segfaults on macOS 10.12

    GitHub | 2 months ago | LukasKellenberger
    java.lang.RuntimeException: Nonzero exit code: 139
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Root Cause Analysis

  1. java.lang.RuntimeException

    Append mode is not supported by com.databricks.spark.xml.DefaultSource15

    at scala.sys.package$.error()
  2. Scala
    package$.error
    1. scala.sys.package$.error(package.scala:27)
    1 frame
  3. com.databricks.spark
    DefaultSource.createRelation
    1. com.databricks.spark.xml.DefaultSource.createRelation(DefaultSource.scala:80)
    1 frame
  4. org.apache.spark
    ResolvedDataSource$.apply
    1. org.apache.spark.sql.execution.datasources.ResolvedDataSource$.apply(ResolvedDataSource.scala:170)
    1 frame
  5. Spark Project SQL
    DataFrameWriter.save
    1. org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:146)
    2. org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:137)
    2 frames
  6. com.paysafe.bigdata
    XmlLoader$$anonfun$findUnknownMapping$1.apply
    1. com.paysafe.bigdata.commons.sparkjobs.fileloader.XmlLoader$$anonfun$findUnknownMapping$1.apply(XmlLoader.scala:111)
    2. com.paysafe.bigdata.commons.sparkjobs.fileloader.XmlLoader$$anonfun$findUnknownMapping$1.apply(XmlLoader.scala:108)
    2 frames
  7. Scala
    ArrayOps$ofRef.foreach
    1. scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
    2. scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:108)
    2 frames
  8. com.paysafe.bigdata
    LoaderApp.main
    1. com.paysafe.bigdata.commons.sparkjobs.fileloader.XmlLoader.findUnknownMapping(XmlLoader.scala:108)
    2. com.paysafe.bigdata.commons.sparkjobs.fileloader.XmlLoader.execute(XmlLoader.scala:93)
    3. com.paysafe.bigdata.commons.util.LoaderApp$.main(LoaderApp.scala:12)
    4. com.paysafe.bigdata.commons.util.LoaderApp.main(LoaderApp.scala)
    4 frames
  9. Java RT
    Method.invoke
    1. sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    2. sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
    3. sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    4. java.lang.reflect.Method.invoke(Method.java:498)
    4 frames
  10. Spark
    SparkSubmit.main
    1. org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:674)
    2. org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:180)
    3. org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:205)
    4. org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:120)
    5. org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
    5 frames