DSE SearchAnalytics 与 Scala 错误

DSE SearchAnalytics with Scala error

参考this link,尝试在spark Dataframe

中查询cassandra table
val spark = SparkSession
          .builder()
          .appName("CassandraSpark")
          .config("spark.cassandra.connection.host", "127.0.0.1")
          .config("spark.cassandra.connection.port", "9042")
          .master("local[2]")
          .getOrCreate();

我正在使用的节点是 SearchAnalytics 节点 通过使用这个 spark 会话,我尝试了 sql query

val ss = spark.sql("select * from killr_video.videos where solr_query = '{\"q\":\"video_id:1\"}'")

已在 table 上启用搜索索引。

在 运行 程序之后,这是我遇到的错误

Exception in thread "main" org.apache.spark.sql.AnalysisException: Table or view not found: `killr_video`.`videos`; line 1 pos 14;

'项目[*] +- 'UnresolvedRelation killr_video.videos

at org.apache.spark.sql.catalyst.analysis.package$AnalysisErrorAt.failAnalysis(package.scala:42)
at org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis.apply(CheckAnalysis.scala:82)
at org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis.apply(CheckAnalysis.scala:78)
at org.apache.spark.sql.catalyst.trees.TreeNode.foreachUp(TreeNode.scala:127)
at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$foreachUp.apply(TreeNode.scala:126)
at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$foreachUp.apply(TreeNode.scala:126)
at scala.collection.immutable.List.foreach(List.scala:392)
at org.apache.spark.sql.catalyst.trees.TreeNode.foreachUp(TreeNode.scala:126)
at org.apache.spark.sql.catalyst.analysis.CheckAnalysis$class.checkAnalysis(CheckAnalysis.scala:78)
at org.apache.spark.sql.catalyst.analysis.Analyzer.checkAnalysis(Analyzer.scala:91)
at org.apache.spark.sql.execution.QueryExecution.assertAnalyzed(QueryExecution.scala:52)
at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:66)
at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:623)
at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:691)

如何将 Cassandra 数据导入 Spark?

从这条错误消息来看,您似乎是在 运行使用独立的 Spark 来编写代码,而不是通过 DSE Analytics(通过 dse spark-submitdse spark)。

在这种情况下,您需要注册表格 - DSE documentation describes 如何为所有表格注册表格,使用 dse client-tool & spark-sql:

dse client-tool --use-server-config spark sql-schema --all > output.sql
spark-sql --jars byos-5.1.jar -f  output.sql

对于我的示例,它看起来如下所示:

USE test;
CREATE TABLE t122
       USING org.apache.spark.sql.cassandra
       OPTIONS (
                keyspace "test",
                table "t122",
                pushdown "true");

这是一个 solr_query 的例子,如果我 运行 它在 spark-shell 中以 dse spark:[=21= 开头,它就可以开箱即用]

scala> val ss = spark.sql("select * from test.t122 where solr_query='{\"q\":\"t:t2\"}'").show
+---+----------+---+
| id|solr_query|  t|
+---+----------+---+
|  2|      null| t2|
+---+----------+---+

为了让您的生活更轻松,最好使用 DSE Analytics,而不是 bring your own spark