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exorbyte_​Populate_​Index_​and_​Search

This workflow shows a local exorbyte MatchMaker index setup and a fuzzy search performed within the local index.

To successfully execute the workflow and build a local index, a MatchMaker installation and a valid license is required. For more information on the MatchMaker software, please visit www.exorbyte.com.

exorbyte Populate Index and SearchWorkflow descriptionThis workflow shows a local exorbyte MatchMaker index setup and a fuzzy searchperformed within the local index.To successfully execute the workflow and build a local index, a MatchMakerinstallation and a valid license is required.Workflow requirementsexorbyte extension 1.0.xKNIME Analytics Platform >= 4.6, recommended 4.7 Step 1. Read the dataChoose the data.csv data file from theKNIME workflow data directory. Step 2. Build MM indexBuild a local MatchMaker index with theinput data file. Convert relative paths of the matchmaker project file to absolute file path. Step 3. Create search queryCreate a query including multiple fieldinformation Step 4. Fuzzy SearchPerform a fuzzy search within the built localMatchMaker Index. read the data filebuild an MM index namedPerson_Dedup_SampleUsed variables:matchmaker Project File:demoProjETP_file_pathSearch query "Alex"perform fuzzy searchrequesting Single Field Qualities (SFQ)Used variables:Project Port:MatchMaker.ClientPortmatchmaker project file's relative pathsto the current workflowrelative pathto absolute pathCSV Reader IndexWriter MM7.1 Table Creator Matcher MM7.x Table Creator Table Rowto Variable URL to FilePath (Variable) exorbyte Populate Index and SearchWorkflow descriptionThis workflow shows a local exorbyte MatchMaker index setup and a fuzzy searchperformed within the local index.To successfully execute the workflow and build a local index, a MatchMakerinstallation and a valid license is required.Workflow requirementsexorbyte extension 1.0.xKNIME Analytics Platform >= 4.6, recommended 4.7 Step 1. Read the dataChoose the data.csv data file from theKNIME workflow data directory. Step 2. Build MM indexBuild a local MatchMaker index with theinput data file. Convert relative paths of the matchmaker project file to absolute file path. Step 3. Create search queryCreate a query including multiple fieldinformation Step 4. Fuzzy SearchPerform a fuzzy search within the built localMatchMaker Index. read the data filebuild an MM index namedPerson_Dedup_SampleUsed variables:matchmaker Project File:demoProjETP_file_pathSearch query "Alex"perform fuzzy searchrequesting Single Field Qualities (SFQ)Used variables:Project Port:MatchMaker.ClientPortmatchmaker project file's relative pathsto the current workflowrelative pathto absolute pathCSV Reader IndexWriter MM7.1 Table Creator Matcher MM7.x Table Creator Table Rowto Variable URL to FilePath (Variable)

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To use this workflow in KNIME, download it from the below URL and open it in KNIME:

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Created by: xiao.mengyuan
Created at: 2023-04-26
On NodePit since: 2023-05-04
Last update: 2024-05-01
Created with KNIME version: v4.7.2
Tags: FuzzySearchLevenshteinData QualityPersonAddressMatchMakerexorbyte

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