是否可以使用pyspark查询amazon redshift？我试着在stackoverflow上找到这个，但是只有一些老问题他们的解决方案对我不起作用。
我正在尝试使用apachespark的红移数据源，但它不起作用。
我的代码与数据源文档相同（当然，我正在替换必填字段）：

sc = # existing SparkContext
sql_context = SQLContext(sc)

df = sql_context.read \
    .format("com.databricks.spark.redshift") \
    .option("url", "jdbc:redshift://redshifthost:5439/database?user=username&password=pass") \
    .option("dbtable", "my_table") \
    .option("tempdir", "s3n://path/for/temp/data") \
    .load()

df.show()

我正在尝试使用pycharm和pyspark版本3.0.0运行此程序，但是出现错误：

py4j.protocol.Py4JJavaError: An error occurred while calling o34.load.
: 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$.lookupDataSource(DataSource.scala:674)
    at org.apache.spark.sql.execution.datasources.DataSource$.lookupDataSourceV2(DataSource.scala:728)
    at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:230)
    at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:203)
    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$lookupDataSource$5(DataSource.scala:648)
    at scala.util.Try$.apply(Try.scala:213)
    at org.apache.spark.sql.execution.datasources.DataSource$.$anonfun$lookupDataSource$4(DataSource.scala:648)
    at scala.util.Failure.orElse(Try.scala:224)
    at org.apache.spark.sql.execution.datasources.DataSource$.lookupDataSource(DataSource.scala:648)
    ... 14 more

这个错误可能是因为我可能没有正确导入redshift jdbc的jar文件（您可以看到我在pycharm中运行），我也不知道如何使用pycharm导入它。
我还尝试使用以下命令通过命令提示符运行它： spark-submit --jars RedshiftJDBC41-1.2.12.1017.jar --packages com.databricks:spark-redshift_2.10:2.0.0 query.py 但在执行之后，我得到了以下错误：

py4j.protocol.Py4JJavaError: An error occurred while calling o50.load.
: java.lang.NoClassDefFoundError: scala/Product$class
        at com.databricks.spark.redshift.Parameters$MergedParameters.<init>(Parameters.scala:78)
        at com.databricks.spark.redshift.Parameters$.mergeParameters(Parameters.scala:72)
        at com.databricks.spark.redshift.DefaultSource.createRelation(DefaultSource.scala:48)
        at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:339)
        at org.apache.spark.sql.DataFrameReader.loadV1Source(DataFrameReader.scala:279)
        at org.apache.spark.sql.DataFrameReader.$anonfun$load$2(DataFrameReader.scala:268)
        at scala.Option.getOrElse(Option.scala:189)
        at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:268)
        at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:203)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
        at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        at java.lang.reflect.Method.invoke(Method.java:498)
        at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
        at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
        at py4j.Gateway.invoke(Gateway.java:282)
        at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
        at py4j.commands.CallCommand.execute(CallCommand.java:79)
        at py4j.GatewayConnection.run(GatewayConnection.java:238)
        at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: scala.Product$class
        at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
        at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
        at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
        ... 20 more

有什么方法可以使用pyspark并行运行这个查询吗？我看到开发人员已经停止使用红移连接器了。
谢谢您！