CREATE TABLE schemaName.tableName ( rowId VARCHAR, qualifier1 TINYINT, qualifier2 SMALLINT, qualifier3 INTEGER, qualifier4 BIGINT, qualifier5 DOUBLE, qualifier6 BOOLEAN, qualifier7 TIME, qualifier8 DATE, qualifier9 TIMESTAMP ) WITH ( column_mapping = 'qualifier1:f1:q1,qualifier2:f1:q2,qualifier3:f2:q3,qualifier4:f2:q4,qualifier5:f2:q5,qualifier6:f3:q1,qualifier7:f3:q2,qualifier8:f3:q3,qualifier9:f3:q4', row_id = 'rowId', hbase_table_name = 'hbaseNamespace:hbaseTable', external = true ); -- Note: The value of schemaName must be the same as the value of hbaseNamespace in hbase_table_name. Otherwise, the table fails to be created.
Keyword |
Type |
Mandatory |
Default Value |
Remarks |
---|---|---|---|---|
column_mapping |
String |
No |
All columns belong to the same Family column family. |
Specify the mapping between columns in the mapping table and column families in the HBase data source table. If a table in the HBase data source needs to be associated, the value of column_mapping must be the same as that in the HBase data source. If you create a table that does not exist in the HBase data source, you need to specify column_mapping. |
row_id |
String |
No |
First column in the mapping table |
Column name corresponding to the rowkey table in the HBase data source |
hbase_table_name |
String |
No |
Null |
Tablespace and table name of the HBase data source to be associated. Use a colon (:) to separate them. The default tablespace is default. If a new table that does not exist in the HBase data source is created, hbase_table_name does not need to be specified. |
external |
Boolean |
No |
true |
If external is set to true, the table is a mapping table in the HBase data source and the original table in the HBase data source cannot be deleted. If external is set to false, the table in the HBase data source is deleted when the Hetu-HBase table is deleted. |
// 1. Register three types of data sources, including Hive, Elasticsearch, and GaussDB A. hetuengine> show catalogs; Catalog ---------- dws es hive hive_dg system systemremote (6 rows) // 2. Compile SQL statements for cross-source collaborative analysis. select * from hive_dg.schema1.table1 t1 join es.schema3.table3 t2 join dws.schema02.table4 t3 on t1.name = t2.item and t2.id = t3.cardNo;