Question

我的目标是从现有目录表中读取数据框，进行一些转换并从中创建一个新表。因此，根据https://docs.aws.amazon.com/glue/latest/dg/update-from-job.html，我使用sink.writeFrame方法：

datasource0 = glueContext.create_dynamic_frame.from_catalog(database = "my_db", table_name = "table1", transformation_ctx = "datasource0")
datasource1 = datasource0.toDF().withColumn("date", current_date().cast("string"))

datasource2 = DynamicFrame.fromDF(datasource1, glueContext, "datasource2")
                                                    
sink = glueContext.getSink(connection_type="s3", path="s3://my_bucket/output", enableUpdateCatalog=True)
sink.setFormat("json")
sink.setCatalogInfo(catalogDatabase='my_db', catalogTableName='table2')
sink.writeFrame(datasource2)

job.commit()

但是结果是我得到一个误导性错误，该方法pyWriteDynamicFrame不存在：

Traceback (most recent call last):
  File "/tmp/test", line 39, in <module>
    sink.writeFrame(datasource1)
  File "/opt/amazon/lib/python3.6/site-packages/awsglue/data_sink.py", line 31, in writeFrame
    return DynamicFrame(self._jsink.pyWriteDynamicFrame(dynamic_frame._jdf, callsite(), info), dynamic_frame.glue_ctx, dynamic_frame.name + "_errors")
  File "/opt/amazon/spark/python/lib/py4j-0.10.7-src.zip/py4j/java_gateway.py", line 1257, in __call__
    answer, self.gateway_client, self.target_id, self.name)
  File "/opt/amazon/spark/python/lib/pyspark.zip/pyspark/sql/utils.py", line 63, in deco
    return f(*a, **kw)
  File "/opt/amazon/spark/python/lib/py4j-0.10.7-src.zip/py4j/protocol.py", line 332, in get_return_value
    format(target_id, ".", name, value))
py4j.protocol.Py4JError: An error occurred while calling o75.pyWriteDynamicFrame. Trace:
py4j.Py4JException: Method pyWriteDynamicFrame([class org.apache.spark.sql.Dataset, class java.lang.String, class java.lang.String]) does not exist
    at py4j.reflection.ReflectionEngine.getMethod(ReflectionEngine.java:318)
    at py4j.reflection.ReflectionEngine.getMethod(ReflectionEngine.java:326)
    at py4j.Gateway.invoke(Gateway.java:274)
    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)

版本： Spark：2.4，Python：3，Glue：2

Answer 1

您可以使用Glue本机转换Map类，该类将通过对输入DynamicFrame中的所有记录应用函数来构建新的DynamicFrame。

因此，在您要导出列日期的情况下，可以使用以下代码片段来实现该目的。

from datetime import datetime 
def addDate(d): 
   d["date"] = datetime.today() 
   return d 
datasource1 = Map.apply(frame = datasource0, f = addDate)

AWS Glue作业方法pyWriteDynamicFrame不存在

1 个答案: