我有一个在dataproc中运行的spark作业，我想将结果加载到BigQuery，我知道我必须添加spark-bigquery连接器以将数据保存到bigquery
name := "spl_prj"
version := "0.1"
scalaVersion := "2.11.12"
val sparkVersion = "2.3.0"
conflictManager := ConflictManager.latestRevision
libraryDependencies ++= Seq(
"org.apache.spark" %%"spark-core" % sparkVersion % Provided,
"org.apache.spark" %% "spark-sql" % sparkVersion % Provided ,
"com.google.cloud.spark" %% "spark-bigquery-with-dependencies" % "0.17.3"
)
当我建立罐子并提交作业时，会出现此错误：
Exception in thread "main" java.lang.ClassNotFoundException: Failed to find data source: bigquery. Please find packages at http://spark.apache.org/third-party-projects.html
at org.apache.spark.sql.execution.datasources.DataSource$.lookupDataSource(DataSource.scala:639)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:190)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:164)
at com.renault.datalake.spl_prj.Main$.main(Main.scala:58)
at com.renault.datalake.spl_prj.Main.main(Main.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.apache.spark.deploy.JavaMainApplication.start(SparkApplication.scala:52)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:890)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:192)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:217)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:137)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
造成原因：java.lang.ClassNotFoundException：bigquery.DefaultSource
在此示例中，在提交作业lik时，我没有添加jar的权限。我认为，当sbt构建jar时，没有在编译过程中添加连接器，我想运行的最简洁的代码scala引发了：
val spark = SparkSession.builder.config(conf).getOrCreate()
val bucket = "doc_spk"
spark.conf.set("temporaryGcsBucket", bucket)
val sc =spark.sparkContext
val rddRowString = sc.binaryRecords("gs://bucket/GAR", 120).map(x=>(x.slice(0,17),x.slice(17,20),x.slice(20,120)))
val df=spark.createDataFrame(rddRowString).toDF("v","data","val_data")
df.write.format("bigquery")
.option("table","db.table")
.save()
使用以下buil.sbt文件构建fatjar文件。
build.sbt
name := "spl_prj"
version := "0.1"
scalaVersion := "2.11.12"
val sparkVersion = "2.3.0"
conflictManager := ConflictManager.latestRevision
libraryDependencies ++= Seq(
"org.apache.spark" %%"spark-core" % sparkVersion % Provided,
"org.apache.spark" %% "spark-sql" % sparkVersion % Provided ,
"com.google.cloud.spark" %% "spark-bigquery-with-dependencies" % "0.17.3"
)
assemblyMergeStrategy in assembly := {
case PathList("META-INF","services",xs @ _*) => MergeStrategy.filterDistinctLines
case PathList("META-INF",xs @ _*) => MergeStrategy.discard
case _ => MergeStrategy.first
}
assemblyOption in assembly := (assemblyOption in assembly).value.copy(includeScala = false)
assemblyJarName in assembly := s"${name.value}-${version.value}.jar"
创建project/plugins.sbt文件并添加以下内容。
addSbtPlugin("com.eed3si9n" % "sbt-assembly" % "0.15.0")
addSbtPlugin("com.eed3si9n" % "sbt-buildinfo" % "0.9.0")
运行以下命令创建“ fat”罐子。
sbt clean compile assembly
注意：您可以根据项目要求调整版本。
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