Power BI XMLA ETL Source
See the Connector Marketplace topic. Please request your administrator to start a trial or subscribe to the Premium Power BI XMLA connector.
In Gathr, it can be added as a channel to help in fetching customers’ and prospects’ data and transform it as needed before storing it in a desired data warehouse to run further analytics.
Schema Type
See the topic Provide Schema for ETL Source → to know how schema details can be provided for data sources.
After providing schema type details, the next step is to configure the data source.
Data Source Configuration
Configure the data source parameters as explained below.
Connection Name
Connections are the service identifiers. A connection name can be selected from the list if you have created and saved connection details for Power BI XMLA earlier. Or create one as explained in the topic - Power BI XMLA Connection →
Use the Test Connection option to ensure that the connection with the Power BI XMLA channel is established successfully.
A success message states that the connection is available. In case of any error in test connection, edit the connection to resolve the issue before proceeding further.
Entity
Tables in Power BI XMLA are statically defined to model Power BI XMLA entities.
If you selected the Fetch From Source method to design the application, the Entities will list as per the configured connection. Select the entity to be read from Power BI XMLA.
If you selected the Upload Data File method to design the application, the exact name of the entity should be provided to read the data from Power BI XMLA.
If you selected the Fetch From Source method to design the application, the Fields would list as per the Entity chosen in the previous configuration parameter. Select the fields or provide a custom query to read the desired records from Power BI XMLA.
Fields
The conditions to fetch source data from a Power BI XMLA table can be specified using this option.
Select Fields: Select the column(s) of the entity that should be read.
Custom Query: Provide an SQL query specifying the read conditions for the source data.
Example: SELECT "Id" FROM Companies
If you selected the Upload Data File method to design the application, provide a custom query to fetch records from the Power BI XMLA entity specified in the previous configuration.
Query
The conditions to fetch source data from a Power BI XMLA table can be specified using this option.
Provide an SQL query specifying the read conditions for the source data.
Example: SELECT "Id" FROM Companies
Read Options
This section contains additional configuration parameters.
Expression In Description
Set this to true to report expressions as part of the description on measure columns.
If this option is enabled, then the measure expression is included in the measure column description, along with the remarks. The descriptions on other types of entities are not affected.
Split Measures
Set this to true to split Measures table into individual tables.
All measures are currently grouped into a single table ‘Measures’. Set this to true to split Measures table into individual tables (if a table only contains measures) and include measures into respective dimensions tables.
Response Row Limit
The number of response rows to allow before triggering an error. Set to 0 for no limit.
Partitioning
This section contains partitioning-related configuration parameters.
Enable Partitioning
This enables parallel reading of the data from the entity.
Partitioning is disabled by default.
If enabled, an additional option will appear to configure the partitioning conditions.
Column
The selected column will be used to partition the data.
Max Rows per Partition: Enter the maximum number of rows to be read in a single request.
Example: 10,000
It implies that a maximum number of 10,000 rows can be read in one partition.
Advanced Configuration
This section contains additional configuration parameters.
Fetch Size
The number of rows to be fetched per round trip. The default value is 1000.
Add Configuration: Additional properties can be added using this option as key-value pairs.
Detect Schema
Check the populated schema details. For more details, see Schema Preview →
Pre Action
To understand how to provide SQL queries or Stored Procedures that will be executed during pipeline run, see Pre-Actions →.
Notes
Optionally, enter notes in the Notes → tab and save the configuration.
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