Cassandra 不使用 UDT

Question

我有一个 Java 应用程序，其中有 Spark-1.4.0 和 Cassandra-2.1.5 以及 Cassandra-Spark-connection-1.4。 0-M1.

在此应用程序中，我尝试使用 Dataframe 或使用具有一些 UDT 的 javaFunctions 类 将 Java Bean 类存储到 Cassandra 表中。

messages.foreachRDD(new Function2<JavaRDD<Message>,Time,Void>(){
    @Override
    public Void call(JavaRDD<Message> arg0, Time arg1) throws Exception {
        javaFunctions(arg0).writerBuilder(
                Properties.getString("spark.cassandra.keyspace"),
                Properties.getString("spark.cassandra.table"),
                mapToRow(Message.class)).saveToCassandra();

或

messages.foreachRDD(new Function2<JavaRDD<Message>,Time,Void>(){
    @Override
    public Void call(JavaRDD<Message> arg0, Time arg1) throws Exception {

        SQLContext sqlContext = SparkConnection.getSqlContext();
        DataFrame df = sqlContext.createDataFrame(arg0, Message.class);

        df.write()
                .mode(SaveMode.Append)
                .option("keyspace",Properties.getString("spark.cassandra.keyspace"))
                .option("table",Properties.getString("spark.cassandra.table"))
                .format("org.apache.spark.sql.cassandra").save();

但是我得到了这个错误

15/06/16 19:51:38 INFO CassandraConnector: Disconnected from Cassandra cluster: BDI Cassandra
15/06/16 19:51:39 WARN TaskSetManager: Lost task 0.0 in stage 4.0 (TID 4, 192.168.1.19): com.datastax.spark.connector.types.TypeConversionException: Cannot convert object null to com.datastax.spark.connector.UDTValue.
    at com.datastax.spark.connector.types.TypeConverter$$anonfun$convert$1.apply(TypeConverter.scala:44)
    at com.datastax.spark.connector.types.TypeConverter$$anonfun$convert$1.apply(TypeConverter.scala:40)
    at com.datastax.spark.connector.types.UserDefinedType$$anon$1$$anonfun$convertPF$1.applyOrElse(UserDefinedType.scala:33)
    at com.datastax.spark.connector.types.TypeConverter$class.convert(TypeConverter.scala:40)
    at com.datastax.spark.connector.types.UserDefinedType$$anon$1.convert(UserDefinedType.scala:31)
    at com.datastax.spark.connector.writer.SqlRowWriter$$anonfun$readColumnValues$1.apply$mcVI$sp(SqlRowWriter.scala:21)
    at scala.collection.immutable.Range.foreach$mVc$sp(Range.scala:141)
    at com.datastax.spark.connector.writer.SqlRowWriter.readColumnValues(SqlRowWriter.scala:20)
    at com.datastax.spark.connector.writer.SqlRowWriter.readColumnValues(SqlRowWriter.scala:8)
    at com.datastax.spark.connector.writer.BoundStatementBuilder.bind(BoundStatementBuilder.scala:35)
    at com.datastax.spark.connector.writer.GroupingBatchBuilder.next(GroupingBatchBuilder.scala:106)
    at com.datastax.spark.connector.writer.GroupingBatchBuilder.next(GroupingBatchBuilder.scala:31)
    at scala.collection.Iterator$class.foreach(Iterator.scala:727)
    at com.datastax.spark.connector.writer.GroupingBatchBuilder.foreach(GroupingBatchBuilder.scala:31)
    at com.datastax.spark.connector.writer.TableWriter$$anonfun$write$1.apply(TableWriter.scala:135)
    at com.datastax.spark.connector.writer.TableWriter$$anonfun$write$1.apply(TableWriter.scala:119)
    at com.datastax.spark.connector.cql.CassandraConnector$$anonfun$withSessionDo$1.apply(CassandraConnector.scala:102)
    at com.datastax.spark.connector.cql.CassandraConnector$$anonfun$withSessionDo$1.apply(CassandraConnector.scala:101)
    at com.datastax.spark.connector.cql.CassandraConnector.closeResourceAfterUse(CassandraConnector.scala:130)
    at com.datastax.spark.connector.cql.CassandraConnector.withSessionDo(CassandraConnector.scala:101)
    at com.datastax.spark.connector.writer.TableWriter.write(TableWriter.scala:119)
    at com.datastax.spark.connector.RDDFunctions$$anonfun$saveToCassandra$1.apply(RDDFunctions.scala:36)
    at com.datastax.spark.connector.RDDFunctions$$anonfun$saveToCassandra$1.apply(RDDFunctions.scala:36)
    at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:63)
    at org.apache.spark.scheduler.Task.run(Task.scala:70)
    at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:213)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
    at java.lang.Thread.run(Thread.java:745)

以前，我使用映射器类成功地将消息对象保存到 Cassandra 表中。

MappingManager mapping=new MappingManager(session);
                Mapper<Message> mapper=mapping.mapper(Message.class);
                mapper.save(message);

这是我的 Java Bean

import com.datastax.driver.mapping.annotations.FrozenKey;
import com.datastax.driver.mapping.annotations.Table;
@Table(name = "data")
public class Message implements Serializable{
    private static final long serialVersionUID = 42L;
    private String admin;
    private String searchname;
    private String searchsource;
    private String searchtype;
    private String messageid;
    private String message;
    @FrozenKey
    private List<Action> actions;
    @Frozen
    private AdminCreator admincreator;
    @Frozen
    private AppReference appreference;
    private String caption;
    @Frozen
    private Reference referencefrom;
    private String icon;
    private Boolean ishidden;
              .....
              .....
              .....

Answer 1

此功能在 1.4.0 版本中不存在。我有一个补丁 https://github.com/datastax/spark-cassandra-connector/pull/856这应该在未来的版本中得到修复。

请测试评论https://datastax-oss.atlassian.net/browse/SPARKC-271如果你有时间。