The data source is a required part of the report object. Flexmonster supports data from OLAP data sources, Elasticsearch, SQL databases, MongoDB databases, the custom data source API, CSV and JSON static files, and inline JSON data. Each data source requires specific properties to be set inside the dataSource section of the report object. Here is a list of all available properties for a dataSource:

• mapping (optional) – Mapping Object | String. Allows defining field data types, captions, multi-level hierarchies, grouping fields under separate dimensions, and setting other view configurations of hierarchies. It can be either the inline Mapping Object or the URL to a JSON file with mapping. See an example on JSFiddle.
• binary (optional) – Boolean. Flag to use Data Speed Accelerator instead of XMLA protocol. Only for "microsoft analysis services" and "mondrian" data source types.
• browseForFile (optional) – Boolean. Only for "csv" and "json" data source types. Defines whether you want to load a file from the local file system (true) or not (false). Default value: false.
• catalog (optional) – String. The data source catalog name of the OLAP data source. Only for "microsoft analysis services" and "mondrian" data source types.
• cube (optional) – String. The given catalog’s cube’s name of the OLAP data source. Only for "microsoft analysis services" and "mondrian" data source types.
• data (optional) – JSON. A property to set JSON data if it is already on the page.
• dataSourceInfo (optional) – String. The service info of the OLAP data source. Only for "microsoft analysis services" and "mondrian" data source types.
• type (optional) – String. Type of data source. The component supports the following types: "microsoft analysis services", "mondrian", "elasticsearch", "api", "csv", and "json".
• effectiveUserName (optional) – String. Use when an end user identity must be impersonated on the server. Specify the account in a domain\user format. Only for "microsoft analysis services" data source type.
• fieldSeparator (optional) – String. Defines specific fields separator to split CSV row. Only for "csv" data source type. There is no need to define it if CSV fields are separated by , or ;. This property is used if another char separates fields. For example, if you use TSV, where tab char is used to separate fields in row, the fieldSeparator parameter should be defined as "\t".
• thousandSeparator (optional) – String. Allows importing CSV data with commas used to separate groups of digits in numbers (e.g., 1,000 for one thousand). To load such data, set thousandSeparator to ",".
• filename (optional) – String. The URL to CSV or JSON file or to a server-side script which generates CSV data or JSON data. Only for "csv" and "json" data source type.
• ignoreQuotedLineBreaks (optional) – Boolean. Indicates whether the line breaks in quotes will be ignored (true) in CSV files or not (false). When set to true, CSV parsing is faster. Set it to false only if your data source has valuable for you line breaks in quotes. Please note that this might slow down CSV parsing a little bit. Default value: true.
• localeIdentifier (optional) – Number. Microsoft Locale ID Value for your language. Only for "microsoft analysis services" data source type.
• proxyUrl (optional) – String. The path to proxy URL to the OLAP data source, such as Microsoft Analysis Services, Mondrian. Only for "microsoft analysis services" and "mondrian" data source types. In case of Microsoft Analysis Services, both tabular and multidimensional model types are supported.
• url (optional) – String. The path to the API endpoints. Only for "api" data source type.
• roles (optional) – String. Comma-delimited list of predefined roles to connect to a server or database using permissions conveyed by that role. If this property is omitted, all roles are used, and the effective permissions are the combination of all roles. Supported only for "microsoft analysis services" and "mondrian" data source types.
• subquery (optional) – String | Object. The parameter to set the server-side filter which helps to decrease the size of the response from the server. Only for "microsoft analysis services" and "elasticsearch" data source types. For "microsoft analysis services" data source type should be set as a string. Example: to show reports only for one specific year, set subquery the following way: "subquery": "select {[Delivery Date].[Calendar].[Calendar Year].&[2008]} on columns from [Adventure Works]". For "elasticsearch" data source type should be set as a Bool Query Object.
• requestHeaders (optional) – Object. For all data sources. This object allows you to add custom request headers. This object consists of "key": "value" pairs, where "key" is a header name and "value" is its value. Check out a live sample on JSFiddle. Important note: requestHeaders is not saved when obtaining the report via save() and getReport() API calls.
• node (optional) – String. The URL string for the connection. Only for "elasticsearch" data source type.
• index (optional) – String. The name of the Elasticsearch index to connect or the data set identifier for the custom data source API. Only for "elasticsearch" and "api" data source types.
• useStreamLoader (optional) – Boolean. Optimizes the large file processing using the stream loader. When set to true, the stream loader is enabled. Available only when loading JSON files via URL. See an example on JSFiddle. Default value: false.
  
• withCredentials (optional) – Boolean. It indicates whether cross-site Access-Control requests should be made using credentials such as authorization headers (true) or not (false). For more details refer to MDN web docs.
  Setting the withCredentials flag to true is recommended when using Windows authentication and other types of server authentications. When set to false, the browser does not request credentials, as well as does not include them into outgoing requests. Only for "api" and "microsoft analysis services" (both XMLA protocol and Flexmonster Accelerator) data source types. Default value: false.

The API calls connectTo(), updateData(), load(), and open() are used to change the data source at runtime. The API call save() is used to save the report.

Find more details about Data Source Object in this tutorial with examples.