Tabellen-SQL-Grammatik

Tabellenobjekte unterstützen die aufgelistete SQL-Grammatik für DDL-Workloads.

Oracle AI Data Platform Workbench unterstützt alle standardmäßigen Spark SQL-Datentypen. Weitere Informationen finden Sie unter Apache Spark-Dokumentation - Unterstützte Datentypen.

Vorgang	Grammatik
Tabelle erstellen	CREATE [EXTERNAL] TABLE [IF NOT EXISTS] <catalog_name>.<schema-name>.<table-name> [ ( <column1-name><column1-type> [comment <column1-comment>], ... ) ] USING [HIVE|DELTA, CSV, TXT, ORC, JDBC, PARQUET, etc.] [ options ( <key1>=<val1>[, ...]) ] [ PARTITIONED BY (<par-column-name>[, ...]) ] [ CLUSTERED BY ( <clus-column-name>[, ...]) [ SORTED BY ( <sort-column-name> [ asc | desc ][, ...]) ] INTO <num_buckets> buckets] [ LOCATION '<path>'] [TBLPROPERTIES ( DESCRIPTION = 'some-description', '<property-name>'='<property-value>'[, ...]) ] Antwort: <<SQL Command>> was successfully executed Fehler: Error: <<SQL Command>> failed due to <<reason>>
Verwaltete Tabelle erstellen	Verwaltete Tabelle erstellen CREATE TABLE <catalog>.<schema>.<table-name> [ ( <column1-name><column1-type> [comment <column1-comment>], ... ) ] USING <format>; Antwort: <<SQL Command>> was successfully executed Fehler: Error: <<SQL Command>> failed due to <<reason>>
Verwaltete Tabelle mit Daten erstellen	create datatable <<catalog_name>>.<<schema_name>>.<<table_name>> [ ( <column1-name><column1-type> [comment <column1-comment>], ... ) ] tblproperties ('lakehouse_storage_format'='PARQUET') using parquet with select ( <column1-name>], ... ) from parquet.'oci://bucket@namespace/folder/' Antwort: <<SQL Command>> was successfully executed Fehler: Error: <<SQL Command>> failed due to <<reason>>
Tabelle mit einheitlicher Unterstützung erstellen	CREATE [EXTERNAL] TABLE [IF NOT EXISTS] <catalog_name>.<schema-name>.<table-name> [ ( <column1-name> <column1-type> [comment <column1-comment>], ... ) ] [TBLPROPERTIES ('delta.universalFormat.enabledFormats' = 'iceberg') ]
Tabelle ändern	ALTER TABLE table_old_name RENAME TO table_new_name ALTER TABLE table_name ADD COLUMNS ( col_spec [ , ... ]) ALTER TABLE table_name DROP { COLUMN | COLUMNS } [ ( ] col_name [ , ... ] [ ) ] ALTER TABLE table_name RENAME COLUMN col_name TO col_name ALTER TABLE table_name ADD [IF NOT EXISTS] ( partition_spec [partition_spec ... ] ) ALTER TABLE table_name DROP [ IF EXISTS ] partition_spec [PURGE] ALTER TABLE table_name set tblproperties (description ='some-description')
Tabelle löschen	DROP TABLE [ IF EXISTS ] table_name [ PURGE ] Antwort: <<SQL Command>> was successfully executed Fehler: Error: <<SQL Command>> failed due to <<reason>>
Tabellen in einem Schema auflisten	SHOW TABLES in catalog_name.schema_name [ LIKE <regex_pattern> ] regex_pattern: Ein reguläres Ausdrucksmuster, mit dem die Ergebnisse der Anweisung gefiltert werden. Antwort: <<namesake>>,tableName,isTemporary Fehler: <<SQL Command>> failed due to <<reason>>
Tabelle beschreiben	DESCRIBE TABLE [ FORMAT ] catalog_name.schema_name.table_name [ PARTITION (<partition_col_name> = <partition_col_val>, ...) ] [ catalog_name.schema_name.table_name.column_name ] Format: Wenn EXTENDED als Format angegeben ist, werden zusätzliche Metadateninformationen (wie übergeordnete Datenbank, Eigentümer und Zugriffszeit) zurückgegeben. DESCRIBE TABLE catalog.schema.table Antwort: col_name,data_type,comment DESCRIBE TABLE catalog.schema.table column Antwort: info_name,info_value