3/26/2023 0 Comments Mergex plpdf oracle![]() Perform the following steps: 1.ĭrag and drop the Match-Merge operator from the palette to the right of the SET_OPERATION. You can now create a Match-Merge operator to identify the criteria for which the data is evaluated. In the Palette on the lower left side, drag a SET OPERATION operator to the right of the two source tables.ĭrag a line from the CUST_SYS1.INOUTGRP1 into SET_OPERATION.INGRP1.Ĭollapse SET_OPERATION.INGRP1 and maximize the SET_OPERATION operator.ĭrag a line from the CUST_SYS2.INOUTGRP1 into SET_OPERATION.INGRP2. Maximize the operators by clicking the maximize icon for each table and click Auto-Layout in the toolbar. Drag and drop CUST_SYS1 into the mapping canvas.ĭrag and drop CUST_SYS 2 into the mapping canvas. In the top left Explorer panel, expand Databases > Oracle > DQ_SRC > Tables. Right-click on Mappings and select New.Įnter CUST_MM_MAP for the name and click OK. Perform the following steps to create a Match-Merge Mapping: 1.Īssuming that you logged in as OWB user, from the main Warehouse Builder console, expand HANDSON > Databases > Oracle > DQ_TGT. The first step is to identify what source data need to be merged. In addition, multiple customers that share the same address should only receive the information once.īefore you perform this tutorial, you should: 1.Ĭomplete the Setting Up the Oracle Warehouse Builder Project tutorial.īack to Topic List Creating a Match-Merge Mapping The goal is to load the MAILMERGE_CUSTOMERS_STG table to identify which customers will be targeted during the next marketing campaign.ĭuplicates, or likely duplicates, should be removed. ![]() In this tutorial you map multiple customer record sets and merge them into a single customer master table. To ensure proper auditing and tracing of these changes, a cross reference table is available tracking all merges into the master record. These matching records can then be merged into a single master record. Matching and merging allows you to use business rules to detect potential matches between two or more records. Warehouse Builder delivers record matching and merging capabilities to the ETL space in the core product. Note: Alternatively, you can place the cursor over each individual icon in the following steps to load and view only the screenshot associated with that step. (Caution: This action loads all screenshots simultaneously, so response time may be slow depending on your Internet connection.) Place the cursor over this icon to load and view all the screenshots for this tutorial. Mapping the Merged Output to a Target Table This tutorial covers the following topics:Ĭreating a Match-Merge Operator Using the Match-Merge Wizard You can ignore the irrelevant items you see on your screens. Note: The screenshots in this tutorial may appear slightly different from yours depending on the order in which you perform the other tutorials in this OBE Series. The goal of this tutorial is to match and merge a set of customer records into a single customer master table. RETURNING CONTENT).getBlobVal(cs.Matching and Merging Records Matching and Merging Records Purpose XMLQuery('ADC/ABC' passing xmltype(x2.x, cs.id) returning content) as "row2" Return insert nodes $row2 as last into $j) (select NLS_CHARSET_ID(value) as id from nls_database_parameters where parameter='NLS_CHARACTERSET') With cs as - find your charset ID to decode the blob. merge the rows as described and insert as new row with rnum=3 look at the values we just inserted (using my charset id, 873 - for A元2UTF8) Insert into xml_test values (2, UTL_RAW.CAST_TO_RAW('')) Insert into xml_test values (1, UTL_RAW.CAST_TO_RAW('')) simple table, just a row id and a blob, and insert 2 rowsĬreate table xml_test (rnum number, x blob) ![]() If they're stored as binary XML we'd have to do this a bit differently. You haven't given us many details about your table structure and data, so I just made an example table and data. Following up on Alex's comment, here's an example of merging XML rows (stored as BLOB) in plain Oracle SQL.
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