![]() ![]() Location 's3://redshift-downloads/tickit/spectrum/salesevent/salesmonth=2008-02/event=102/' Location 's3://redshift-downloads/tickit/spectrum/salesevent/salesmonth=2008-01/event=103/' Location 's3://redshift-downloads/tickit/spectrum/salesevent/salesmonth=2008-01/event=102/' Location 's3://redshift-downloads/tickit/spectrum/salesevent/salesmonth=2008-01/event=101/' The following example adds partitions for The location of the partition folder in Amazon S3. PARTITION, add each partition, specifying the partition column and key value, and The data type canīe SMALLINT, INTEGER, BIGINT, DECIMAL, REAL, DOUBLE PRECISION, BOOLEAN, CHAR, VARCHAR, DATE, or TIMESTAMP data type. The partition key can't be the name of a table column. , _, or #) or end with a tilde (~).Ĭreate an external table and specify the partition key in the PARTITIONED BY Redshift Spectrum ignores hidden files and files that begin with a Redshift Spectrum scans the files in the partition folder and any For example, if you partition by date, you might haveĪnd so on. Store your data in folders in Amazon S3 according to your partition key.Ĭreate one folder for each partition value and name the folder with the Include the $path, $size, and $spectrum_oidĬolumn names in your query, as the following example shows. A SELECT * clause doesn't return the pseudocolumns. $size, and $spectrum_oid column names with double quotation For an example, see Example: Performing correlated subqueries in Redshift Spectrum. Perform correlated queries with Redshift Spectrum. The $spectrum_oid column provides the ability to Select the $pathĬolumn to view the path to the data files onĪnd select the $size column to view the size of the data files for each row Pseudocolumnsīy default, Amazon Redshift creates external tables with the pseudocolumns $path, To view external tables, query the SVV_EXTERNAL_TABLES system view. The combination of both results will enable you to see all the users which have alter table permissions.Location 's3://redshift-downloads/tickit/spectrum/sales/' ![]() SELECT usename FROM pg_user WHERE usesuper = 'true' You can also see all the superusers who have permissions to Alter table by running the following query: =Query to see superusers= LEFT JOIN pg_tablespace t ON t.oid = c.reltablespace LEFT JOIN pg_namespace n ON n.oid = c.relnamespace , CASE WHEN c.relkind = 'v' THEN 'view' ELSE 'table' END , pg_get_userbyid(c.relowner) AS table_owner To see all the table owners, the AND section of the WHERE clause can be removed. Kindly note that in this example, the 'sales' table is used. Therefore, to see the users with alter table permissions for a specific table, there is need to determine the owner of that specific table by running the following command: According to our documentation, "The right to modify or destroy an object is always the privilege of the owner only.". ![]() That is, only the owner of the table, the schema owner, or a superuser can Alter a table. This is because, determining whether or not a user can alter a table, works in a similar way to that were one determines whether or not a given user can drop a table. tl dr: alter table can be run by those, and only those, who can drop table.
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