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17 Design and ETL 409
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TIP New dimension records have a natural key value that has not previously been encountered. They can be identified by looking up the natural key value of a source record in the existing dimension table. If a match does not exist, a new record has been identified. The sample data in Figure 17-3 contains an example of a new source record that must be added to an existing product dimension table. The top part of the figure shows the design of the product dimension. It contains a surrogate key called product_key a single
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Design of PRODUCT dimension table: PRODUCT product_key SK sku NK product_name 1 brand_code 2 brand_manager 2 . . . current_version HK Legend: SK NK 1 2 HK Surrogate Key Natural Key Type 1 Change (Overwrite) Type 2 Change (Insert new record) Housekeeping Column (Internal use)
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Existing content of PRODUCT Dimension Table: SK product_ key 22 344 1001 1201 2700 2711 NK sku A-0033 A-1011 B-3691 B-3691 B-3691 Z-3320 1 product_ name Flat Box 12" Packing Tape Twine Spool Twine Spool Twine Spool Envelope A5 2 brand_ code 110 221 501 501 702 109 2 brand_ manager Jones, Paul Smith, Dei Klein, Pete Jones, Fay HK current_ version Current Not Current Not Current Current
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Lei, Michelle Current
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Source records to be processed: sku 1 2 3 4 5 S-8472 B-3691 A-0033 A-1011 Z-3320 product_ name Envelope B4 TwineSpool 12 Flat Box 12" Envelope A5 brand_ code 109 702 110 109 brand_ manager Harvey, Ned Jones, Fay Cook, Dan Davis, Jon Harvey, Ned A new record Type 1 change affecting 3 dimension rows Type 2 change Type 1 and type 2 changes An unchanged record
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Figure 17-3
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Processing the product dimension
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Part VI
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Clear Packing Tape 221
PART VI
Tools and Documentation
attribute that uniquely identifies a row in the dimension table. The natural key SKU (an acronym for stock keeping unit ) uniquely identifies a product in the source system. The designation of the remaining attributes indicates how to respond if a change occurs on the source type 1 changes will result in overwrites; type 2 changes will trigger the insertion of a new row. Because type 2 changes are possible, a single product may have multiple rows in the dimension. The housekeeping column current_version indicates which is current. Beneath the table diagram, an instance grid shows the current content of the product table. Each time the load is executed, this table must be modified with new and changed data. Right now, it contains several rows of data. If you look closely, you will see that these five rows correspond to four products in the source system: SKUs A-0033, A-1011, B-3691, and Z-3320. The Twine Spool (B-3691) appears three times, presumably because it has already undergone some slow changes. One of these versions is flagged as Current. The bottom of the diagram shows some source records that are being processed as part of a nightly load. These records have already passed through the first three steps in the flow, which fetched the source data and assembled what is shown. The first record in this group bears the SKU S-8472. Step 1.4 in the dimension load process calls for searching the existing dimension table for this natural key value. For S-8472, the lookup does not find a match; the record is new. The warehouse has never encountered this SKU before. It will be assigned a surrogate key (step 1.9) and be added to the product dimension table (step 1.10). Each of the remaining SKUs in the example is already represented in the product dimension table. They must now be examined to determine whether they contain type 1 or type 2 changes.
Processing Type 1 Changes
Every record that is not new may contain type 1 changes. When a type 1 attribute changes on the source side, it is overwritten in the data warehouse. To identify a type 1 change, an incoming record is matched to the current record in the warehouse for the natural key value. The type 1 attributes are compared. If they do not match, a type 1 change has been identified. In Figure 17-2, this comparison is performed in step 1.5. In the example data from Figure 17-3, each record with a natural key that is present in the dimension table must be checked for type 1 changes. This requires finding the current record for the natural key value and comparing the type 1 attributes. This can be accomplished via a lookup as well. If the type 1 attributes do not match, the SKU has undergone a type 1 change. The second source record, SKU B-3691, has a type 1 attribute value that does not match the current corresponding record in the product table. The product_name has changed from Twine Spool to TwineSpool 12. The dimension table must be updated with this change; processing flows through the branch of the diagram labeled B. TIP Type 1 changes can be identified by comparing the source record to the current dimension record for the natural key value. If any type 1 attributes do not match, a type 1 change has occurred. Type 1 changes must be applied to all corresponding warehouse records with the same natural key. There may be more than one dimension row corresponding to the source record that has changed, because it may already have undergone type 2 changes. In step 1.6
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