spark insert overwrite table设置分区 spark 默认分区 目录 spark的分区 一. Hash分区 二. Ranger分区 三. 自定义Partitioner 案例 spark的分区 Spark目前支持Hash分区和Range分区,用户也可以自定义分区,Hash分区为当前的默认分区,Spark中分区器直接决定了RDD中分区的个数、RDD中每条数据经过Shuffle过程属于哪个分区和Red...
AI检测代码解析 importorg.apache.spark.sql.SparkSession// 创建/获取一个SparkSession对象valspark=SparkSession.builder().appName("Spark Insert Overwrite Table").getOrCreate() 1. 2. 3. 4. 5. 6. 2.2 读取数据源 接下来,我们需要读取数据源,可以是文件、数据库或其他数据源。 AI检测代码解析 // 读...
INSERT OVERWRITE TABLE t_target PARTITION(part) select a, b, c, part from t_source where part in ('A','B','C','D','E','F','G','H','I') 这样一个insert 语句 初始化 t_target 为 part 分区为 ('A','B','C','D','E','F','G','H','I') 然后随着业务的减少 t_sourc...
Describe the problem you faced I'm doing a simple write performance test for Hudi in Spark on Yarn, but my executors will be dead for OOM. And the 'insert overwrite' SQL could be very slow. I've created a table like this: create table li...
spark3查询平台提示报错信息: Error Cannot overwrite a path that is also being read from.是因为 insert overwrite table a 语句中包含 查询a表的语句:例如: insert overwrite table a select a1,a2,a3 from …
|insert into hadoop_prod.default.a values (1,"zs",18),(2,"ls",19),(3,"ww",20) """.stripMargin)//创建另外一张表b ,并插入数据spark.sql(""" |create table hadoop_prod.default.b (id int,name string,age int,tp string) using iceberg ...
1.idea无法spark.sql无法正常运行insert overwrite语句 原因有两个: 1)mysql-connector-java版本过低(两种情况) 一个是IDEA中依赖mysql-connector-java版本过低导致报错 一个是hive中依赖mysql-connector-java版本过低,需要我们把新版本mysql-connectr-java的jar包放到hive中的lib中,对于那个旧版本的我们只需在其后面加...
spark连接odps，执行insert overwrite报错报错信息：ErrorCode=OverwriteModeNotAllowed, ErrorMessage=Overwrite...
(11,"x2","hunan")""".stripMargin)//创建 test3 普通表,并插入数据spark.sql("""|create table hadoop_prod.default.test3(id int,name string,loc string)|using iceberg""".stripMargin)spark.sql("""|insert into hadoop_prod.default.test3values(3,"ww","beijing"),(4,"ml","shanghai"),(...
(|feature1 double,|feature2 double,|feature3 double,|feature4 double,|label string|)""".stripMargin)df.createOrReplaceTempView("outputdata")spark.sql("set hive.exec.dynamic.partition.mode=nonstrict")spark.sql(s"""|insert overwrite table iris|select|feature1,|feature2,|feature3,|feature4,|...