z:net.snowflake.spark.snowflake.Utils.runQuery.：java.lang.NullPointerException

Question

根据我的用例，我试图将数据从s3写入雪花。我的应用程序是用Python/Pyspark编写的，并且运行在AWS集群上。

守则是：

def write_from_audience_parquet_to_snowflake(self):
    self.logger.info('write_from_audience_parquet_to_snowflake started')

    path = os.path.dirname(os.path.abspath(__file__))
    parquet_stage = read_template(path + '/sql/staging_audience_attribute.sql')
    input_base_s3 = self.base_input_s3_path.replace("s3a://", "s3://")

    self.logger.info("input_base_s3 = {}".format(input_base_s3))

    parquet_stage = parquet_stage.render(input_base_s3=input_base_s3, mab_id=self.mab_id,
                                         mab_send_id=self.mab_send_id, access_key=self.aws_access_key,
                                         secret_key=self.aws_secret_key, session_token=self.aws_session_key)

    create_table_template = read_template(path + '/sql/create_audience_table.sql')
    create_table_sql = create_table_template.render(audience_table=self.audience_table)

    upload_stage = read_template(path + '/sql/upload_audience_stage.sql')
    upload_stage = upload_stage.render(audience_table=self.audience_table)

    try:
        self.utilSf.runQuery(self.sfoptions, parquet_stage)
        self.utilSf.runQuery(self.sfoptions, create_table_sql)
        self.utilSf.runQuery(self.sfoptions, upload_stage)
    except Exception as e:
        self.logger.exception(e)
        raise e

    self.logger.info('write_from_audience_parquet_to_snowflake completed successfully')

错误是：

An error occurred while calling z:net.snowflake.spark.snowflake.Utils.runQuery.
: java.lang.NullPointerException
    at java.util.Hashtable.put(Hashtable.java:460)
    at net.snowflake.spark.snowflake.JDBCWrapper.getConnector(SnowflakeJDBCWrapper.scala:141)
    at net.snowflake.spark.snowflake.Utils$.getJDBCConnection(Utils.scala:244)
    at net.snowflake.spark.snowflake.Utils$.getJDBCConnection(Utils.scala:249)
    at net.snowflake.spark.snowflake.Utils$.runQuery(Utils.scala:391)
    at net.snowflake.spark.snowflake.Utils.runQuery(Utils.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 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)

请查找完整的错误日志这里

我读过这样的文章，这是因为spark提供的scala版本控制问题。我使用spark 2.4.5和外部添加的Hadoop3.1.2。另外，我用的是这些雪花罐：

火花-雪花_2.11-2.4.10-火花_2.4.jar snowflake-ingest-sdk-0.9.5.jar snowflake-jdbc-3.6.15.jar

如果需要更多的细节，请通过评论让我知道。

Answer 1

当它试图连接到雪花时，会发生错误。我建议检查"self.sfoptions“中的值，以确保正确地指定了所有必需的选项。以下是一个例子：

sfOptions = {
  "sfURL" : "<account_name>.<cloud_domain>",
  "sfAccount" : "<account_name>",
  "sfUser" : "<user_name>",
  "sfPassword" : "<password>",
  "sfDatabase" : "<database>",
  "sfSchema" : "<schema>",
  "sfWarehouse" : "<warehouse>",
}

Answer 2

现在看来，您使用的是雪花火花连接器和JDBC驱动程序的旧版本。请用最新的雪花火花连接器(2.7.0-Spark2.4)和JDBC驱动程序(3.12.2)进行测试。

2.11%22

https://repo1.maven.org/maven2/net/snowflake/snowflake-jdbc/3.12.2/

如果您能够重现最新的连接器和驱动程序的问题，那么请用日志打开一个案例。谢谢!