# Configuring the match analysis Available in... * Big Data Platform * Cloud API Services Platform * Cloud Big Data Platform * Cloud Data Fabric * Cloud Data Management Platform * Data Fabric * Data Management Platform * Data Services Platform * Qlik Talend Cloud Enterprise Edition * Qlik Talend Cloud Premium Edition * Real-Time Big Data Platform ## Procedure 1. In the Limit field, set the number for the data records you want to use as a data sample. ![Screenshot of the Match Analysis view.](https://help.qlik.com/talend/en-US/studio-user-guide/Resources/images/match_analysis2.png) 2. Optional: Click any column name in the table to sort the sample data in an ascending or descending order. 3. In the match analysis editor, configure the options. | Option | Purpose | | --- | --- | | ![Show in Data Quality repository](https://help.qlik.com/talend/en-US/studio-user-guide/Resources/images/repository_nav.svg) | Locate the selected table under the
Metadata node in the tree
view. | | New Connection | Create a connection to a database or to a file from
inside the match analysis editor where you can expand this
new connection and select the columns on which to do the
match.

For further information about how to create a
connection to data sources, see [Creating connections to data sources](https://help.qlik.com/talend/en-US/studio-user-guide/8.0/creating-connections-to-data-sources). | | Select Data | Update the selection of the columns listed in the
table.

If you change the dataset for an analysis, the
charts that display the match results of the sample data
will be cleared automatically. You must click
Chart to compute the match
results for the new dataset you have
defined. | | Refresh Data | Refresh the view of the columns listed in the
table. | | n first rows

or

n random rows | List in the table N first data records from the selected
columns or list N random records from the selected
columns. | | Select Blocking Key | Define the columns from the input flow according to which
you want to partition the processed data in blocks.

For
more information, see [Defining a match rule](https://help.qlik.com/talend/en-US/studio-user-guide/8.0/defining-match-rule). | | Select Matching Key | Define the match rules and the columns from the input
flow on which you want to apply the match algorithm.

For
more information, see [Defining a match rule](https://help.qlik.com/talend/en-US/studio-user-guide/8.0/defining-match-rule). | | Store on disk | Store processed data blocks on the disk to maximize system performance.


Max buffer size: Type in the size
of physical memory you want to allocate to processed
data.


Temporary data directory path:
Set the path to the directory where the temporary file
must be stored.


Allow drill down: Select to store
locally the data that will be analyzed by the current
analysis. It will enable the View
rows feature from the
Settings menu. It displays a
list of duplicate rows or groups of the same size. For
more information, see [Viewing and exporting the analyzed data](https://help.qlik.com/talend/en-US/studio-user-guide/8.0/viewing-the-anaylzed-data). | ## Results The Data Preview table has additional columns that show the results of matching data: * GID: represents the group identifier. * GRP\_SIZE: counts the number of records in the group, computed only on the master record. * MASTER: identifies, by true or false, if the record used in the matching comparisons is a master record. There is only one master record per group. Each input record will be compared to the master record, and if they match, the input record will be in the group. * SCORE: measures the distance between the input record and the master record according to the matching algorithm used. * GRP\_QUALITY: only the master record has a quality score which is the minimal value in the group. * ATTRIBUTE\_SCORE: lists the match score and the names of the columns used as key attributes in the applied rules.