eventDataFrame.select(parent_df.columns).write.format("delta").mode("append").option("inferSchema","true").insertInto("some delta table")) Run Code Online (Sandbox Code Playgroud)
用法: DataFrame.writeTo(table) 为v2 源创建一个写入配置构建器。 此构建器用于配置和执行写入操作。 例如,追加或创建或替换现有表。 版本3.1.0 中的新函数。 例子: >>>df.writeTo("catalog.db.table").append()>>>df.writeTo(..."catalog.db.table"...).partitionedBy("col").createOrReplace() ...
# df_stream -> DataFrame[key: binary, value: binary, topic: string, partition: # int, offset: bigint, timestamp: timestamp, timestampType: int] <class #'pyspark.sql.dataframe.DataFrame'> # query = df_stream.select("value", "topic","partition","timestamp") \ query = df_stream.sel...
1、saveAsTable方法无效，会全表覆盖写，需要用insertInto，详情见代码 2、insertInto需要主要DataFrame...
DataFrameWriter DataStreamReader DataStreamWriter The following built-in functions: from_xml to_xml schema_of_xml TheOPTIONSclause ofCREATE TABLE USING DATA_SOURCE For a list of options, seeAuto Loader options. XSD support You can optionally validate each row-level XML record by an XML Schema De...
Description of changes Enabled partitioning in create_table and to_parquet methods for pyspark backend (already existed for to_delta) Added partition_by argument to create_table method for PySpar...
inputDf = df_map[prefix]#actual dataframe is created via spark.read.json(s3uris[x]) and then kept under this mapprint("total records",inputDf.count())inputDf.printSchema() glueContext.write_dynamic_frame.from_options(frame=DynamicFrame.fromDF(inputDf, glueContext,"inputDf"), ...
DataFrameWriter DataStreamReader DataStreamWriter The following built-in functions: from_xml to_xml schema_of_xml TheOPTIONSclause ofCREATE TABLE USING DATA_SOURCE For a list of options, seeAuto Loader options. XSD support You can optionally validate each row-level XML record by an XML Schema De...