Notice that column values should match column types definition (e.g., you can’t insert a textual value into the numerical column/attribute). In such INSERT INTO statement, you’ll need to define the table_name where you’re inserting data into, list all columns (maybe you’ll use all of them, but maybe only a few of them), and then list all values. INSERT INTO table_name (column_list) VALUES (column_values) In this article we’ll use simplified, but also most common syntax: Please take a look at the T-SQL INSERT INTO TABLE complete syntax here. It is one of the four important SQL DML (Data Manipulation Language) statements SELECT … FROM, INSERT INTO TABLE, UPDATE … SET, and DELETE FROM… The complete syntax is pretty complex since the INSERT INTO could also be a very complex statement. The INSERT INTO TABLE statement is the one we’ll use to solve this problem. There is no point in creating database structures and not having any data in the database. We’ll also check the contents of both tables before and after these commands using the SELECT statement. In order to do so, we’ll prepare statements in Excel and then paste these statements into SQL Server and execute them. SALES UNITS COST TIME CUSTOMER PRODUCT CHANNELĢ4538587.9 61109 22840853.7 CALENDAR_QUARTER_CY1998.Q1 TOTAL_TOTAL TOTAL_TOTAL TOTAL_TOTALĢ4993273.3 61320 23147171 CALENDAR_QUARTER_CY1998.Q2 TOTAL_TOTAL TOTAL_TOTAL TOTAL_TOTALĢ5080541.4 65265 23242535.4 CALENDAR_QUARTER_CY1998.Q3 TOTAL_TOTAL TOTAL_TOTAL TOTAL_TOTALĢ6258474 66122 24391020.6 CALENDAR_QUARTER_CY1998.Q4 TOTAL_TOTAL TOTAL_TOTAL TOTAL_TOTALģ2785170 77589 30607218.1 CALENDAR_QUARTER_CY1999.In the previous article, we’ve created two tables, and now we’re ready to use the SQL INSERT INTO TABLE command and populate these tables with data. SELECT sales, units, cost, time, customer, product, channelįROM TABLE(CUBE_TABLE('global.units_cube HIERARCHY customer market HIERARCHY time calendar')) It restricts the table to the MARKET and CALENDAR hierarchies. The next statement generates a cube table of UNITS_CUBE. TOTAL_TOTAL TOTAL Total Channel TOTAL Total Channel SELECT dim_key, level_name, long_description, channel_total_id tot_id,Ĭhannel_channel_id chan_id, channel_long_description chan_desc,įROM TABLE(CUBE_TABLE('global.channel')) ĭIM_KEY LEVEL_NAME LONG_DESCRIPTION TOT_ID CHAN_ID CHAN_DESC TOT_DESCĬHANNEL_CAT CHANNEL Catalog TOTAL CAT Catalog Total ChannelĬHANNEL_DIR CHANNEL Direct Sales TOTAL DIR Direct Sales Total ChannelĬHANNEL_INT CHANNEL Internet TOTAL INT Internet Total Channel The following SELECT statement generates a dimension table of CHANNEL in the GLOBAL schema. Refer to Oracle OLAP User's Guide for information on downloading and installing the GLOBAL sample schema. The following examples require Oracle Database with the OLAP option and the GLOBAL sample schema. See Also: Oracle OLAP User's Guide for information about dimensional objects and about the tables generated by CUBE_TABLE. To create a hierarchy table, specify the dimension with a dimension hierarchy clause.ĬUBE_TABLE is a table function and is always used in the context of a SELECT statement with this syntax: SELECT. Any dimension members and levels that are not part of the named hierarchy are excluded from the table. It also contains a MEMBER_TYPE column, as described for dimension tables. To create a dimension table, specify the dimension without a dimension hierarchy clause.Ī hierarchy table contains all the columns of a dimension table plus a column for the parent member and a column for each source level. L - Loaded from a table, view, or synonymĪ - Loaded member and the single root of all hierarchies in the dimension, that is, the "all" aggregate memberĪll dimension members and all levels are included in the table. It also contains a MEMBER_TYPE column, which identifies each member with one of the following codes: Without a hierarchy clause, all dimension members and all levels are included.Ī dimension table contains a key column, and a column for each level and each attribute. For a dimension with multiple hierarchies, this clause limits the return values to the dimension members and levels in the specified hierarchy. To create a cube table, you can specify the cube with or without a cube hierarchy clause. You can generate these different types of tables:Ī cube table contains a key column for each dimension and a column for each measure and calculated measure in the cube. A cube can have multiple hierarchy clauses, one for each dimension. The optional hierarchy clause enables you to specify a dimension hierarchy. The function takes a single VARCHAR2 argument. Description of the illustration cube_table.gifĬUBE_TABLE extracts data from a cube or dimension and returns it in the two-dimensional format of a relational table, which can be used by SQL-based applications.
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