在Trino中,你可以使用 CREATE TABLE 语句的 partitioned_by 子句来创建一个分区表,你可以写入数据到这个表的每个分区。使用分区对于查询过滤条件的列进行过滤非常高效。Trino实际上将所有数据按照分区规则分布到磁盘的不同目录下,当你执行包含了分区过滤的查询时,Trino会自动发现这个过滤条件,并且只读取符合条件的分区...
CREATE TABLE datalake.zeeks.{} ({} ) WITH ( format='Parquet', partitioned_by = ARRAY['{}','{}','{}'], external_location = 's3://datalake/zeek/{}' ); CALL system.sync_partition_metadata('zeeks','{}','FULL'); SELECT * FROM datalake.zeeks.{}; """.format(log_type,","....
CREATETABLEmy_part_table ( idbigint, namevarchar(64), event_datedate)WITH( partitioned_by=ARRAY['event_date'] ); 2、分桶(bucket) 分桶是将表中的数据划分成若干个桶(bucket)存储的方式。在Trino中,你可以使用 CREATE TABLE 语句的bucketed_by和bucket_count子句来创建一个分桶表。在建表时,你需要...
在Trino中,可以使用CREATE TABLE语句创建新的Hive表。例如,以下语句将在Hive中创建一个名为new_table的新表: CREATETABLEhive.default.new_table ( col1varchar, col2int, col3decimal(10,2) )WITH( format='ORC', partitioned_by=ARRAY['col3'] ); 通过WITH子句指定了新表的格式和分区键。在Trino中创建...
{"commitInfo":{"timestamp":1613741139539,"userId":"6259558072923448","userName":"lukasz.osipiuk@starburstdata.com","operation":"CREATE TABLE","operationParameters":{"isManaged":"false","description":null,"partitionBy":"[\"number_partition\",\"string_partition\"]","properties":"{}"},"note...
{"commitInfo":{"timestamp":1613741139539,"userId":"6259558072923448","userName":"lukasz.osipiuk@starburstdata.com","operation":"CREATE TABLE","operationParameters":{"isManaged":"false","description":null,"partitionBy":"[\"number_partition\",\"string_partition\"]","properties":"{}"},"note...
CREATE TABLE IF NOT EXISTS users ( id BIGINT, name VARCHAR, email VARCHAR, created_at TIMESTAMP ); 插入数据 向表中插入一些初始数据: sql 深色版本 INSERT INTO users (id, name, email, created_at) VALUES (1, 'Alice', 'alice@example.com', CURRENT_TIMESTAMP), (2, 'Bob', 'bob@exampl...
CREATE TABLE AS, CREATE TABLE时不支持:partitioning(partitioned_by),bucketing(bucketed_by) 不支持修改列的:ALTER TABLE 登录Ambari 平台进行设置,添加完成配置参数之后,在 Ambari 平台页面进行重启 Hive 组件操作: image.png 支持 表的类型:事务表(只支持对插入的读取和写入;完全支持分区和分桶操作)和 ACID表...
I am creating a hudi table using Flink Hudi connector CREATE TABLE flink.flink_hudi_hms3 ( uuid VARCHAR(20), name VARCHAR(10), age INT, ts TIMESTAMP(3), `partition` VARCHAR(20) ) PARTITIONED BY (`partition`) WITH ( 'connector' = 'hudi', 'path' = 'abfs://flink@test.dfs....
CREATE TABLE iceberg_test001 ( id int, name string, birthday date, create_time timestamp ) PARTITIONED BY(provincial string,ds string) STORED BY 'org.apache.iceberg.mr.hive.HiveIcebergStorageHandler' TBLPROPERTIES('iceberg.catalog'='iceberg_hive'); ...