从Cassandra查询的数据不能再次在同一列上过滤（InvalidQueryException）

我试图从cassandra中按时间查询大块数据，然后使用spark数据集来一次处理较小的块，但是，应用程序失败并出现无效的查询异常：

WARN 2018-11-22 13:16:54 org.apache.spark.scheduler.TaskSetManager: Lost task 0.0 in stage 2.0 (TID 5, 192.168.1.212, executor 0): java.io.IOException: Exception during preparation of SELECT "userid", "event_time", "value" FROM "user_1234"."data" WHERE token("userid") > ? AND token("userid") <= ? AND "event_time" >= ? AND "event_time" >= ? AND "event_time" <= ? ALLOW FILTERING: More than one restriction was found for the start bound on event_time

    at com.datastax.spark.connector.rdd.CassandraTableScanRDD.createStatement(CassandraTableScanRDD.scala:323)
    at com.datastax.spark.connector.rdd.CassandraTableScanRDD.com$datastax$spark$connector$rdd$CassandraTableScanRDD

$$ fetchTokenRange(CassandraTableScanRDD.scala:339) at com.datastax.spark.connector.rdd.CassandraTableScanRDD $$

anonfun$17.apply(CassandraTableScanRDD.scala:366)

    at com.datastax.spark.connector.rdd.CassandraTableScanRDD

$$ anonfun$17.apply(CassandraTableScanRDD.scala:366) at scala.collection.Iterator $$

anon$12.nextCur(Iterator.scala:434)

    at scala.collection.Iterator

$$ anon$12.hasNext(Iterator.scala:440) at com.datastax.spark.connector.util.CountingIterator.hasNext(CountingIterator.scala:12) at scala.collection.Iterator $$

anon$11.hasNext(Iterator.scala:408)

    at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown Source)
    at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
    at org.apache.spark.sql.execution.WholeStageCodegenExec

$$ anonfun$8 $$

anon$1.hasNext(WholeStageCodegenExec.scala:395)

    at org.apache.spark.sql.execution.SparkPlan

$$ anonfun$2.apply(SparkPlan.scala:234) at org.apache.spark.sql.execution.SparkPlan $$

anonfun$2.apply(SparkPlan.scala:228)

    at org.apache.spark.rdd.RDD

$$ anonfun$mapPartitionsInternal$1 $$

anonfun$apply$25.apply(RDD.scala:827)

    at org.apache.spark.rdd.RDD

$$ anonfun$mapPartitionsInternal$1 $$

anonfun$apply$25.apply(RDD.scala:827)

    at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
    at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
    at org.apache.spark.scheduler.Task.run(Task.scala:109)
    at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:338)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
    at java.lang.Thread.run(Thread.java:748)

Caused by: com.datastax.driver.core.exceptions.InvalidQueryException: More than one restriction was found for the start bound on event_time

    at com.datastax.driver.core.exceptions.InvalidQueryException.copy(InvalidQueryException.java:41)
    at com.datastax.driver.core.DriverThrowables.propagateCause(DriverThrowables.java:28)
    at com.datastax.driver.core.AbstractSession.prepare(AbstractSession.java:108)
    at com.datastax.driver.dse.DefaultDseSession.prepare(DefaultDseSession.java:278)
    at com.datastax.spark.connector.cql.PreparedStatementCache$.prepareStatement(PreparedStatementCache.scala:45)

这是我试图执行的代码段：

case class RawDataModel(userid: String, event_time: Long, value: Double)
var dtRangeEnd = System.currentTimeMillis()
var dtRangeStart = (dtRangeEnd - (60 60 1000).toLong)

val queryTimeRange = "SELECT * FROM user1234.datafile WHERE event_time >= " + dtRangeStart

val dataFrame = sparkSession.sql(queryTimeRange)

import sparkSession.implicits._
val dataSet: Dataset[RawDataModel] = dataFrame.as[RawDataModel]

dataSet.show(1)

dtRangeEnd = System.currentTimeMillis()
dtRangeStart = (dtRangeEnd - (15 60 1000).toLong)

val dtRangeData = dataSet.filter(dataSet("event_time").between(dtRangeStart, dtRangeEnd))

dtRangeData.show(1)