Spark Scala Cassandra 连接器删除所有行失败，并出现 IllegalArgumentException 要求失败异常

创建表-

CREATE TABLE test.word_groups (group text, word text, count int,PRIMARY KEY (group,word));

插入数据 -

INSERT INTO test.word_groups (group , word , count ) VALUES ( 'A-group', 'raj', 0) ;
INSERT INTO test.word_groups (group , word , count ) VALUES ( 'b-group', 'jaj', 0) ;
INSERT INTO test.word_groups (group , word , count ) VALUES ( 'A-group', 'raff', 3) ;

 SELECT * FROM word_groups ;

 group   | word | count
---------+------+-------
 b-group |  jaj |     0
 A-group | raff |     3
 A-group |  raj |     0

Script -

val cassandraUrl = "org.apache.spark.sql.cassandra"
val wordGroup: Map[String, String] = Map("table" ->"word_groups", 
  "keyspace" -> "test", "cluster" -> "test-cluster")
val groupData = {spark.read.format(cassandraUrl).options(wordGroup).load()
  .where(col("group") === "b-group")}
groupData.rdd.deleteFromCassandra("sunbird_courses", "word_groups")

例外 -

java.lang.IllegalArgumentException: requirement failed: Invalid row size: 3 instead of 2.
    at scala.Predef$.require(Predef.scala:224)
    at com.datastax.spark.connector.writer.SqlRowWriter.readColumnValues(SqlRowWriter.scala:23)
    at com.datastax.spark.connector.writer.SqlRowWriter.readColumnValues(SqlRowWriter.scala:12)
    at com.datastax.spark.connector.writer.BoundStatementBuilder.bind(BoundStatementBuilder.scala:102)
    at com.datastax.spark.connector.writer.GroupingBatchBuilder.next(GroupingBatchBuilder.scala:105)
    at com.datastax.spark.connector.writer.GroupingBatchBuilder.next(GroupingBatchBuilder.scala:30)
    at scala.collection.Iterator$class.foreach(Iterator.scala:891)
    at com.datastax.spark.connector.writer.GroupingBatchBuilder.foreach(GroupingBatchBuilder.scala:30)
    at com.datastax.spark.connector.writer.TableWriter$$anonfun$writeInternal$1.apply(TableWriter.scala:229)
    at com.datastax.spark.connector.writer.TableWriter$$anonfun$writeInternal$1.apply(TableWriter.scala:198)
    at com.datastax.spark.connector.cql.CassandraConnector$$anonfun$withSessionDo$1.apply(CassandraConnector.scala:112)
    at com.datastax.spark.connector.cql.CassandraConnector$$anonfun$withSessionDo$1.apply(CassandraConnector.scala:111)
    at com.datastax.spark.connector.cql.CassandraConnector.closeResourceAfterUse(CassandraConnector.scala:129)
    at com.datastax.spark.connector.cql.CassandraConnector.withSessionDo(CassandraConnector.scala:111)
    at com.datastax.spark.connector.writer.TableWriter.writeInternal(TableWriter.scala:198)
    at com.datastax.spark.connector.writer.TableWriter.delete(TableWriter.scala:194)
    at com.datastax.spark.connector.RDDFunctions$$anonfun$deleteFromCassandra$1.apply(RDDFunctions.scala:119)
    at com.datastax.spark.connector.RDDFunctions$$anonfun$deleteFromCassandra$1.apply(RDDFunctions.scala:119)
    at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
    at org.apache.spark.scheduler.Task.run(Task.scala:123)
    at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:408)
    at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
    at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:414)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
    at java.lang.Thread.run(Thread.java:745)
21/08/11 09:01:24 WARN TaskSetManager: Lost task 0.0 in stage 11.0 (TID 2953, localhost, executor driver): java.lang.IllegalArgumentException: requirement failed: Invalid row size: 3 instead of 2.

Spark 版本 - 2.4.4 和 Spark Cassandra 连接器版本 - 2.5.0

Spark Cassandra 连接器文档链接 -https://github.com/datastax/spark-cassandra-connector/blob/master/doc/5_ saving.md#deleting-rows-and-columns https://github.com/datastax/spark-cassandra-connector/blob/master/doc/5_saving.md#deleting-rows-and-columns

我正在尝试删除这些列的所有记录，包括主键。

有什么解决方法吗？

仅供参考 - 我需要从 word_groups 表中删除组“A-group”的所有记录，包括主键/分区键

这是 2.5.x 中有趣的变化，我没有意识到 - 你现在需要有一个正确的行大小，即使keyColumns已指定，以前没有它就可以工作 - 对我来说看起来像是一个错误。

删除整行时只需保留主键 - 将删除更改为：

groupData.select("group", "word").rdd.deleteFromCassandra("test", "word_groups")

但就您而言，最好根据分区键列进行删除 - 在这种情况下，您将只有一个逻辑删除（您仍然需要仅选择必要的列）：

import com.datastax.spark.connector._
{groupData.select("group").rdd
  .deleteFromCassandra("test", "word_groups", keyColumns = SomeColumns("group"))}

您甚至不需要从 Cassandra 读取输入数据 - 如果您知道分区键的值，那么您只需创建 RDD 并删除数据（类似于doc https://github.com/datastax/spark-cassandra-connector/blob/b2.5/doc/5_saving.md#example-deleting-a-range-from-a-partition):

case class Key (group:String)
{ sc.parallelize(Seq(Key("b-group")))
   .deleteFromCassandra("test", "word_groups", keyColumns = SomeColumns("group"))}