当我们出现这种情况时 FAILED: SemanticException [Error 10096]: Dynamic partition strict mode requires at least one static partition column. To turn this off set hive.exec.dynamic.partition.mode=nonstrict 这时候我们需要改变一下设置 set hive.exec.dynamici.partition=true;set h
hive.exec.parallel参数控制在同一个sql中的不同的job是否可以同时运行,默认为false.下面是对于该参数的测试过程: 测试sql:select r1.a from (select t.a from sunwg_10 t join sunwg_10000000 s on t.a=s.b) r1 join (select s.b from sunwg_100000 t join sunwg_10 s on t.a=s.b) r2 on (r1.a=r2.b); Set h
spark 2.4 spark sql中执行 set hive.exec.max.dynamic.partitions=10000; 后再执行sql依然会报错: org.apache.hadoop.hive.ql.metadata.HiveException: Number of dynamic partitions created is 1001, which is more than 1000. To solve this try to set hive.exec.max.dynamic.p
创建表 创建内表 create table customer( customerId int, firstName string, lastName STRING, birstDay timestamp ) row format delimited fields terminated by ',' 创建外表 CREATE EXTERNAL table salaries( gender string, age int , salary DOUBLE, zip int )row format del
exec方法 元类 exec(str_command,globals,locals)参数1:字符串形式的命令参数2:全局作用域(字典形式). 如果不指定,默认globals参数3:局部作用(字典形式).如果不指定.默认locals 可以把exec命令的执行当成是一个函数的执行,会将执行期间产生的名字存放于局部名称空间中 g = {} # 定义2个空字典 l = {} exec(""" global x,y x = 100 y = 20 z=30 ""&qu