第一步。old_df=pyspark jdbc读取表并生成Dataframe第二步。new\u df=请求api并生成Dataframe第三步。旧的和新的有相同的模式(printschima是相同的)第四步。union\u df=从旧的\u df union选择col1、col2、col2从新的\u df union选择col1、col2、col2第五
You need to use this Overwrite as an argument tomode()function of the DataFrameWrite class, for example. Note that this is not supported in PySpark. df.write.mode(SaveMode.Overwrite).csv("/tmp/out/foldername") For PySpark useoverwritestring. This option can also be used with Scala. df....
1. 書き込み用データを保持したデータフレームを作成 frompyspark.sql.functionsimportcurrent_timestamp# 書き込み用データを保持したデータフレームを作成src_df=spark.createDataFrame([(1,)],["id"]).withColumn("TIMESTAMP_COL",current_timestamp())src_df=src_df.drop("id")src_df.display(...
Basic spark-submit command with respect to HWC - JDBC_CLUSTER mode pyspark --master yarn --jars - 357606
Basic spark-submit command with respect to HWC - JDBC_CLUSTER mode pyspark --master yarn --jars /opt/cloudera/parcels/CDH/lib/hive_warehouse_connector/hive-warehouse-connector-assembly-1.0.0.7.1.8.0-801.jar --py-files /opt/cloudera/parcels/CDH/lib/hive_warehouse_connector/pyspa...