where action is one of: ALTER [ COLUMN ] column_name [ SET DATA ] TYPE data_type [ COLLATE collation ] [ USING expression ] eg: postgres=# create table t1(c1 int,c2 varchar(60)); postgres=# insert into t1 values(1,'aaa'),(2,'bbb'); postgres=# alter table t1 alter c2 type ...
where action is one of: ALTER [ COLUMN ] column_name [ SET DATA ] TYPE data_type [ COLLATE collation ] [ USING expression ] eg: postgres=# create table t1(c1 int,c2 varchar(60)); postgres=# insert into t1 values(1,'aaa'),(2,'bbb'); postgres=# alter table t1 alter c2 type ...
加载数据 34 Amazon Redshift set search_path to '$user', 'public', 'sales'; SHOW search_path; search_path --- "$user", public, sales 入门指南 select * from pg_table_def where schemaname = 'sales'; schemaname | tablename | column | type | encoding | distkey | sortkey | notnull...
event_descchar(500)The event that prompted the state change. Some example values include the following: Column type was changed Column was dropped Column was renamed Schema name was changed Small table conversion TRUNCATE Vacuum Note that there are other possible values for this column. ...
The connector can be used to query a StringType field hello from the super column a in the table using a schema like:import org.apache.spark.sql.types._ val sc = // existing SparkContext val sqlContext = new SQLContext(sc) val schema = StructType(StructField("a", StructType(Struct...
Docs(tutorials): add redshift datatype examples. [Brooke White] Refactor(cursor, insert_data_bulk): add batch_size parameter. [Brooke White] Test(cursor, test_insert_data_column_stmt): Adjust for py36. [Brooke White] Chore(cursor): lint. [Brooke White] Docs(connection): redshift wire me...
Known Issues When inserting a record into an Amazon Redshift table with a column containing an attribute IDENTITY(seed, step), the value of the first column to be inserted is null instead of the value being passed into the Output Data tool....
With the new ability to modify column compression encodings this process is faster and easier and doesn't impact user access to tables. With the new ALTER TABLE <tbl> ALTER COLUMN ENCODE <enc> command, users can dynamically change Redshif...
(Amazon RDS) for MySQL, andAmazon DynamoDB, and includes additional features such as data filtering to selectively extract tables and schemas using regular expressions, support for incremental and auto-refresh materialized views on replicated data, and configurable change data capture (CDC...
Amazon Redshift is a fully administered, petabyte-scale cloud-based data warehouse service. Users are able to begin with a minimal amount of gigabytes of data and can easily scale up to a petabyte or more as needed. This will enable them to utilize their own data to develop new intuitions...