Question

我正在运行带有Spark 2.4.4的EMR群集（emr-5.27.0）。

我在spark库中具有以下额外的库：

spark-redshift_2.11-2.0.1.jar
spark-avro_2.11-4.0.0.jar
minimal-json-0.9.5.jar
RedshiftJDBC41-no-awssdk-1.2.15.1025.jar

pyspark的执行方式如下：

/ usr / bin / pyspark-打包org.apache.spark：spark-avro_2.11：2.4.4

当我尝试执行以下代码时：

    data_frame.write.format("com.databricks.spark.redshift") \
    .option("url", url) \
    .option("tempdir", s3_temp_dir) \
    .option("aws_iam_role", my_iam_role) \
    .option("dbtable", 'test') \
    .mode("overwrite") \
    .save()

我收到以下错误：

Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/usr/local/lib/python3.6/site-packages/bi_common/spark.py", line 30, in load_data
    .mode("overwrite") \
  File "/usr/lib/spark/python/pyspark/sql/readwriter.py", line 736, in save
    self._jwrite.save()
  File "/usr/lib/spark/python/lib/py4j-0.10.7-src.zip/py4j/java_gateway.py", line 1257, in __call__
  File "/usr/lib/spark/python/pyspark/sql/utils.py", line 63, in deco
    return f(*a, **kw)
  File "/usr/lib/spark/python/lib/py4j-0.10.7-src.zip/py4j/protocol.py", line 328, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling o162.save.
: java.lang.ClassNotFoundException: Failed to find data source: com.databricks.spark.redshift. Please find packages at http://spark.apache.org/third-party-projects.html
    at org.apache.spark.sql.execution.datasources.DataSource$.lookupDataSource(DataSource.scala:657)
    at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:245)
    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 py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
    at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
    at py4j.Gateway.invoke(Gateway.java:282)
    at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
    at py4j.commands.CallCommand.execute(CallCommand.java:79)
    at py4j.GatewayConnection.run(GatewayConnection.java:238)
    at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: com.databricks.spark.redshift.DefaultSource
    at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
    at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
    at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
    at org.apache.spark.sql.execution.datasources.DataSource$$anonfun$20$$anonfun$apply$12.apply(DataSource.scala:634)
    at org.apache.spark.sql.execution.datasources.DataSource$$anonfun$20$$anonfun$apply$12.apply(DataSource.scala:634)
    at scala.util.Try$.apply(Try.scala:192)
    at org.apache.spark.sql.execution.datasources.DataSource$$anonfun$20.apply(DataSource.scala:634)
    at org.apache.spark.sql.execution.datasources.DataSource$$anonfun$20.apply(DataSource.scala:634)
    at scala.util.Try.orElse(Try.scala:84)
    at org.apache.spark.sql.execution.datasources.DataSource$.lookupDataSource(DataSource.scala:634)
    ... 12 more

我以前已经尝试过了，并且已经奏效了，所以不确定在这里可能是什么问题。

谢谢！

使用DataBricks连接器在Redshift中写入数据帧时发生火花错误

0 个答案: