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Join indexes can accelerate queries that use JOIN operations on dimension tables. Under certain circumstances, a join index can significantly reduce the compute requirements to perform a join at query runtime. For more information, see Using join indexes.


CREATE JOIN INDEX [IF NOT EXISTS] <unique_join_index_name> ON <dim_table_name>
Parameter Description
<unique_join_index_name> A unique name for the join index.
<dimension_table_name> The name of the dimension table on which the index is configured.
<dim_join_key_col> The dimension table join key column. This is the column name used in the join’s ON clause. This column in the dimension table should have no duplicate values and should be defined using the UNIQUE column attribute.
<dimension_column> The column name which is being loaded into memory from the dimension table. More than one column can be specified.

Example–create join index with specific columns

The example below creates a join index on the dimension table my_dim, created using the following DDL. Note that the column my_dim_id is defined with the UNIQUE attribute and contains no duplicate values.

  cstmr_id BIGINT UNIQUE,
  name TEXT,
  email TEXT,
  hs_nm INT,
  street TEXT,
  city TEXT,
  st_pvnc TEXT,
  country TEXT,
  phone1 TEXT,
  phone2 TEXT,
  status TEXT)
PRIMARY INDEX my_cstmr_id;

Queries often run that join different fact tables with this dimension table. Those queries SELECT the name and email of customers in the returned results. Another set of queries often select city and status in returned results with a join. The following join index helps to accelerate these queries.

CREATE JOIN INDEX cstmr_email_name_jidx ON my_cstmr_dim (