This tutorial shows you how to use predefined scripts to create tables and load data. As
you run queries and create reports about the Sample Outdoor Company, you will gain familiarity with
the tools and product features that are used in this tutorial.
About this task
You are now ready to create tables and load data. You will run the SQL scripts that are
included in the Db2® Big SQL installation from JSqsh, an open
source client application.
Procedure
-
Open the JSqsh client, specifying the bigsql configuration name, and provide the password if
prompted:
/usr/ibmpacks/common-utils/current/jsqsh/bin/jsqsh bigsql
-
(Optional) Skip this step if you have never created any tables in the GOSALESDW schema.
Otherwise, from the JSqsh client, run the following script to drop these tables:
\eval $BIGSQL_HOME/samples/queries/GOSALESDW_drop.sql
The
\eval JSqsh command reads and executes an input file that contains SQL
statements.
-
Create new tables by running the GOSALESDW_ddl.sql script:
\eval $BIGSQL_HOME/samples/queries/GOSALESDW_ddl.sql
The
GOSALESDW_ddl.sql file contains SQL statements to create the tables. The first
line of this script (
use gosalesdw;
) references the
USE command,
which establishes a default schema (GOSALESDW) for the session. A Db2 Big SQL
schema is a way to logically group objects, such as tables or
functions, and becomes part of the fully qualified table name; for example,
GOSALESDW.DIST_INVENTORY_FACT.
-
Retrieve information about the tables that you created on the Db2 Big SQL server:
-
Load the tables with data by running the GOSALESDW_load.sql script:
\eval $BIGSQL_HOME/samples/queries/GOSALESDW_load.sql
Tip: To conserve space in your distributed file system, you can delete the data folder from its download
location,
/user/bigsql/bi_sample_data/data/:
hdfs dfs -rm -r /user/bigsql/bi_sample_data/data/
For
more information about the LOAD HADOOP statement, see
LOAD HADOOP
statement.
-
Retrieve some data:
SELECT * FROM gosalesdw.go_region_dim FETCH FIRST 5 ROWS ONLY;
SELECT * FROM gosalesdw.sls_sales_fact FETCH FIRST 5 ROWS ONLY;