最后一步是将 DataFrame 写入到分区表中。假设我们的表名为partitioned_table: df.write \.mode("overwrite")\.insertInto("partitioned_table") 1. 2. 3. 状态图 现在,让我们通过一个状态图来更直观地展示整个流程。 检查PySpark 是否安装创建 SparkSession读取 CSV 文件转换为 DataFrame指定分区列 "date"写入...
spark.conf.set("hive.exec.dynamic.partition.mode","constrict") db_df.repartition(1).write.mode("overwrite").insertInto("TABLE") 所以会导致TABLE内数据有重复的现象。 如何去重插入数据表? 在insertInto("TABLE",True) 加上True参数即可,表示的同样是"isOverwrite"....
2>insertInto写入 insertInto(self, tableName, overwrite=False): 示例: # append 写入df.repartition(1).write.partitionBy('dt').insertInto("表名")# overwrite 写入df.repartition(1).write.partitionBy('dt').insertInto("表名",overwrite=True)# 动态分区使用该方法 注意: 1、df.write.mode("overwr...
以下是使用 PySpark 的示例代码: # 模拟数据data=[(1,100.0,2023,1),(2,150.0,2023,1),(3,200.0,2023,2)]# 创建 DataFramedf=spark.createDataFrame(data,["order_id","amount","year","month"])# 将数据插入 Hive 动态分区表df.write \.mode("append")\.partitionBy("year","month")\.insertIn...
partitionBy: Optional[Union[str, List[str]]] = None, 分区列表 df.show()+---+---+|age| name|+---+---+| 2|Alice|| 5| Bob|+---+---+# 覆盖重写df.write.saveAsTable('ldsx_test','parquet','overwrite',['age'])# 追加写入df.write.saveAsTable('ldsx_test','parquet','...
问parquet中的pyspark覆盖模式删除其他分区。EN本文中，云朵君将和大家一起学习如何从 PySpark DataFrame ...
insert into logs partition (year="2013", month="07", day="29", host="host1") values ("foo","foo","foo");insert into logs partition (year="2013", month="07", day="29", host="host2") values ("foo","foo","foo");insert into logs partition (year="2013", month="0...
partition (saledate) select productid, propertyid, processcenterid, saleplatform, sku, poa, salecount, saledate from szy_aipurchase_tmp_szy_dailysale distribute by saledate """) # 或者使用每次重建分区表的方式 jdbcDF.write.mode("overwrite").partitionBy("saledate").insertInto("ai.da_aipurch...
sqlContext.sql("insert into bi.bike_changes_2days_a_d partition(dt='%s') select citycode,biketype,detain_bike_flag,bike_tag_onday,bike_tag_yesterday,bike_num from bike_change_2days"%(date)) 写入集群非分区表 df_spark.write.mode("append").insertInto('bi.pesudo_bike_white_list') # ...
partitionBy("saledate").insertInto("ai.da_aipurchase_dailysale_hive") jdbcDF.write.saveAsTable("ai.da_aipurchase_dailysale_hive", None, "append", partitionBy='saledate') # 不写分区表,只是简单的导入到hive表 jdbcDF.write.saveAsTable("ai.da_aipurchase_dailysale_for_ema_predict", None,...