Kylin binary package contains a sample dataset for testing. It consists of five tables, including the fact table which has 10,000 rows. Because of the small data size, it is convenient to carry out as a test in the virtual machine. You can import the Kylin built-in sample data into Hive using executable script.
Import Sample Dataset into Hive
The script is
sample.sh. you can find it under
Once the script is complete, execute the following commands to enter Hive. Then you can confirm whether the tables are imported successfully.
By default, the script imports 5 tables into Hive’s
default database. You can check the tables imported into Hive or query some tables:
hive> use default; hive> show tables; hive> select count(*) from kylin_sales;
Tip: If you need to import the table to the specified database in Hive, you can modify the configuration item
kylin.source.hive.database-for-flat-tablein the Kylin configuration file
$KYLIN_HOME/conf/kylin.propertiesto the specified Hive database.
Kylin supports both star schema and snowflake data model. In this manual, we will use a typical snowflake data model as our sample data set which contains five tables:
- KYLIN_SALES This is the fact table, it contains detail information of sales orders. Each row holds information such as the seller, the commodity classification, the amount of orders, the quantity of goods, etc. Each row corresponds to a transaction.
- KYLIN_CATEGORY_GROUPINGS This is a dimension table, it represents details of commodity classification, such as, name of commodity category, etc.
- KYLIN_CAL_DT This is another dimension table which extends information of dates, such as beginning date of the year, beginning date of the month, beginning date of the week.
- KYLIN_ACCOUNT This is the user account table. Each row represents a user who could be a buyer and/or a seller of a specific transaction, which links to KYLIN_SALES through the BUYER_ID or SELLER_ID.
- KYLIN_COUNTRY This is the country dimension table linking to KYLIN_ACCOUNT.
The five tables together constitute the structure of the entire snowflake data model. Below is a relational diagram of them.
The generated hive tables contains too many columns which may confused you. So the following tables will list some key columns which referred in Kylin’s Model/Cube, and describe the underlying business meaning of them.
|KYLIN_SALES||LEAF_CATEG_ID||ID Of Commodity Category|
|KYLIN_SALES||SELLER_ID||Account ID Of Seller|
|KYLIN_SALES||BUYER_ID||Account ID Of Buyer|
|KYLIN_SALES||ITEM_COUNT||The Number Of Purchased Goods|
|KYLIN_SALES||LSTG_FORMAT_NAME||Order Transaction Type|
|KYLIN_SALES||OPS_USER_ID||System User ID|
|KYLIN_SALES||OPS_REGION||System User Region|
|KYLIN_CATEGORY_GROUPINGS||USER_DEFINED_FIELD1||User Defined Fields 1|
|KYLIN_CATEGORY_GROUPINGS||USER_DEFINED_FIELD3||User Defined Fields 3|
|KYLIN_CATEGORY_GROUPINGS||META_CATEG_NAME||Level 1 Category|
|KYLIN_CATEGORY_GROUPINGS||CATEG_LVL2_NAME||Level 2 Category|
|KYLIN_CATEGORY_GROUPINGS||CATEG_LVL3_NAME||Level 3 Category|
|KYLIN_CAL_DT||WEEK_BEG_DT||Week Beginning Date|
|KYLIN_CAL_DT||MONTH_BEG_DT||Month Beginning Date|
|KYLIN_CAL_DT||YEAR_BEG_DT||Year Beginning Date|
|KYLIN_ACCOUNT||ACCOUNT_ID||ID Number Of Account|
|KYLIN_ACCOUNT||ACCOUNT_COUNTRY||Country ID Where Account Resides|
|KYLIN_ACCOUNT||ACCOUNT_BUYER_LEVEL||Buyer Account Level|
|KYLIN_ACCOUNT||ACCOUNT_SELLER_LEVEL||Seller Account Level|
|KYLIN_ACCOUNT||ACCOUNT_CONTACT||Contact of Account|
|KYLIN_COUNTRY||NAME||Descriptive Name Of Country|