Spark Doris Connector试错

2021-08-18 17:52:46 浏览数 (1)

1、测试Spark3

（1）官网文档 http://doris.apache.org/master/zh-CN/extending-doris/spark-doris-connector.html#版本兼容 （2）将doris-spark-1.0.0-SNAPSHOT.jar复制到Spark的jars目录

（3）测试RDD 官方模板

代码语言：javascript复制
import org.apache.doris.spark._
val dorisSparkRDD = sc.dorisRDD(
  tableIdentifier = Some("$YOUR_DORIS_DATABASE_NAME.$YOUR_DORIS_TABLE_NAME"),
  cfg = Some(Map(
    "doris.fenodes" -> "$YOUR_DORIS_FE_HOSTNAME:$YOUR_DORIS_FE_RESFUL_PORT",
    "doris.request.auth.user" -> "$YOUR_DORIS_USERNAME",
    "doris.request.auth.password" -> "$YOUR_DORIS_PASSWORD"
  ))
)

dorisSparkRDD.collect()

修改如下

代码语言：javascript复制
import org.apache.doris.spark._

val dorisSparkRDD = sc.dorisRDD(
  tableIdentifier = Some("tpa.table1"),
  cfg = Some(Map(
    "doris.fenodes" -> "node3:8030",
    "doris.request.auth.user" -> "test",
    "doris.request.auth.password" -> "test"
  ))
)

dorisSparkRDD.collect()

执行结果

代码语言：javascript复制
[root@node1 spark-3.1.2]# bin/spark-shell
21/08/13 10:57:07 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties
Setting default log level to "WARN".
To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).
Spark context Web UI available at http://node1:4040
Spark context available as 'sc' (master = local[*], app id = local-1628823440405).
Spark session available as 'spark'.
Welcome to
      ____              __
     / __/__  ___ _____/ /__
    _ / _ / _ `/ __/  '_/
   /___/ .__/_,_/_/ /_/_   version 3.1.2
      /_/
         
Using Scala version 2.12.10 (Java HotSpot(TM) 64-Bit Server VM, Java 1.8.0_161)
Type in expressions to have them evaluated.
Type :help for more information.

scala> import org.apache.doris.spark._
import org.apache.doris.spark._

scala> val dorisSparkRDD = sc.dorisRDD(
     |   tableIdentifier = Some("tpa.table1"),
     |   cfg = Some(Map(
     |     "doris.fenodes" -> "node3:8030",
     |     "doris.request.auth.user" -> "test",
     |     "doris.request.auth.password" -> "test"
     |   ))
     | )
dorisSparkRDD: org.apache.spark.rdd.RDD[AnyRef] = ScalaDorisRDD[0] at RDD at AbstractDorisRDD.scala:32

scala> dorisSparkRDD.collect()
java.lang.NoClassDefFoundError: org/apache/spark/Partition$class
  at org.apache.doris.spark.rdd.DorisPartition.<init>(AbstractDorisRDD.scala:63)
  at org.apache.doris.spark.rdd.AbstractDorisRDD$$anonfun$getPartitions$1.apply(AbstractDorisRDD.scala:36)
  at org.apache.doris.spark.rdd.AbstractDorisRDD$$anonfun$getPartitions$1.apply(AbstractDorisRDD.scala:35)
  at scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:238)
  at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
  at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
  at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
  at scala.collection.TraversableLike.map(TraversableLike.scala:238)
  at scala.collection.TraversableLike.map$(TraversableLike.scala:231)
  at scala.collection.AbstractTraversable.map(Traversable.scala:108)
  at org.apache.doris.spark.rdd.AbstractDorisRDD.getPartitions(AbstractDorisRDD.scala:35)
  at org.apache.spark.rdd.RDD.$anonfun$partitions$2(RDD.scala:300)
  at scala.Option.getOrElse(Option.scala:189)
  at org.apache.spark.rdd.RDD.partitions(RDD.scala:296)
  at org.apache.spark.SparkContext.runJob(SparkContext.scala:2261)
  at org.apache.spark.rdd.RDD.$anonfun$collect$1(RDD.scala:1030)
  at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
  at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
  at org.apache.spark.rdd.RDD.withScope(RDD.scala:414)
  at org.apache.spark.rdd.RDD.collect(RDD.scala:1029)
  ... 49 elided
Caused by: java.lang.ClassNotFoundException: org.apache.spark.Partition$class
  at java.net.URLClassLoader.findClass(URLClassLoader.java:381)
  at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
  at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:338)
  at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
  ... 69 more

scala> dorisSparkRDD.count
java.lang.NoClassDefFoundError: org/apache/spark/Partition$class
  at org.apache.doris.spark.rdd.DorisPartition.<init>(AbstractDorisRDD.scala:63)
  at org.apache.doris.spark.rdd.AbstractDorisRDD$$anonfun$getPartitions$1.apply(AbstractDorisRDD.scala:36)
  at org.apache.doris.spark.rdd.AbstractDorisRDD$$anonfun$getPartitions$1.apply(AbstractDorisRDD.scala:35)
  at scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:238)
  at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
  at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
  at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
  at scala.collection.TraversableLike.map(TraversableLike.scala:238)
  at scala.collection.TraversableLike.map$(TraversableLike.scala:231)
  at scala.collection.AbstractTraversable.map(Traversable.scala:108)
  at org.apache.doris.spark.rdd.AbstractDorisRDD.getPartitions(AbstractDorisRDD.scala:35)
  at org.apache.spark.rdd.RDD.$anonfun$partitions$2(RDD.scala:300)
  at scala.Option.getOrElse(Option.scala:189)
  at org.apache.spark.rdd.RDD.partitions(RDD.scala:296)
  at org.apache.spark.SparkContext.runJob(SparkContext.scala:2261)
  at org.apache.spark.rdd.RDD.count(RDD.scala:1253)
  ... 49 elided

scala>

2、测试Spark2

原来当前Doris还不支持Spark3（官方文档已经说明了，只能说自己不细心），切换回Spark2版本，测试如下

（1）同样将doris-spark-1.0.0-SNAPSHOT.jar复制到Spark的jars目录

（2）测试RDD

代码语言：javascript复制
[root@node1 spark-2.4.8]# bin/spark-shell
21/08/13 15:04:15 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties
Setting default log level to "WARN".
To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).
Spark context Web UI available at http://node1:4040
Spark context available as 'sc' (master = local[*], app id = local-1628838265369).
Spark session available as 'spark'.
Welcome to
      ____              __
     / __/__  ___ _____/ /__
    _ / _ / _ `/ __/  '_/
   /___/ .__/_,_/_/ /_/_   version 2.4.8
      /_/
         
Using Scala version 2.11.12 (Java HotSpot(TM) 64-Bit Server VM, Java 1.8.0_161)
Type in expressions to have them evaluated.
Type :help for more information.

scala> import org.apache.doris.spark._
import org.apache.doris.spark._

scala> val dorisSparkRDD = sc.dorisRDD(
     |   tableIdentifier = Some("tpa.table1"),
     |   cfg = Some(Map(
     |     "doris.fenodes" -> "node3:8030",
     |     "doris.request.auth.user" -> "test",
     |     "doris.request.auth.password" -> "test"
     |   ))
     | )
dorisSparkRDD: org.apache.spark.rdd.RDD[AnyRef] = ScalaDorisRDD[0] at RDD at AbstractDorisRDD.scala:32

scala> dorisSparkRDD.count
res0: Long = 5                                                                  

scala> dorisSparkRDD.collect()
res1: Array[AnyRef] = Array([2, 1, grace, 2], [4, 3, bush, 3], [1, 1, jim, 2], [5, 3, helen, 3], [3, 2, tom, 2])

scala>
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