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#LINEAGE W REGIONS INSTALL#

For tabular data sources (SQL), it samples the top 128 rows.In that case, Microsoft Purview captures only basic meta data like file name and fully qualified name. If a document file is larger than 20 MB, then it isn't subject to a deep scan (subject to classification).For document file formats, it samples the first 20 MB of each file.For structured file types, it samples the top 128 rows in each column or the first 1 MB, whichever is lower.元 scan: Extracts schema where applicable and subjects the sampled file to system and custom classification rulesįor all structured file formats, the Microsoft Purview Data Map scanner samples files in the following way:.L2 scan: Extracts schema for structured file types and database tables.L1 scan: Extracts basic information and meta data like file name, size and fully qualified name.In Microsoft Purview Data Map terminology, A column with nested data will be reported and classified as is, and subdata won't be parsed. Nested data, or nested schema parsing, isn't supported in SQL. The Microsoft Purview Data Map also supports custom file extensions and custom parsers.Ĭurrently, nested data is only supported for JSON content.įor all system supported file types, if there's nested JSON content in a column, then the scanner parses the nested JSON data and surfaces it within the schema tab of the asset.Document file formats supported by extension: DOC, DOCM, DOCX, DOT, ODP, ODS, ODT, PDF, POT, PPS, PPSX, PPT, PPTM, PPTX, XLC, XLS, XLSB, XLSM, XLSX, XLT.Check our Java Runtime Environment section at the bottom of the page for an installation guide.

#LINEAGE W REGIONS INSTALL#

For Parquet files, if you are using a self-hosted integration runtime, you need to install the 64-bit JRE 8 (Java Runtime Environment) or OpenJDK on your IR machine.

The data type will be listed as "string" for all columns.

For delimited file types (CSV, PSV, SSV, TSV, TXT), we do not support data type detection.

We currently don't support scanning a gzip file mapped to multiple files within, or any file type other than csv. Gzip files are subject to System and Custom Classification rules.

For GZIP file types, the GZIP must be mapped to a single csv file within.

The scanner supports scanning snappy compressed PARQUET types for schema extraction and classification.

For AVRO, ORC, and PARQUET file types, the scanner does not support schema extraction for files that contain complex data types (for example, MAP, LIST, STRUCT).

The Microsoft Purview Data Map scanner only supports schema extraction for the structured file types listed above.

Structured file formats supported by extension: AVRO, ORC, PARQUET, CSV, JSON, PSV, SSV, TSV, TXT, XML, GZIP.

The following file types are supported for scanning, for schema extraction, and classification where applicable: Microsoft Purview Data Map scanner regions

If your Azure data source is in a region outside of this list, the scanner will run in the region of your Microsoft Purview instance. The following is a list of all the Azure data source (data center) regions where the Microsoft Purview Data Map scanner runs. For example, JDK, Visual C++ Redistributable, or specific driver.įor your source, refer to each source article for prerequisite details.Īny requirements will be listed in the Prerequisites section. If you plan on using a self-hosted integration runtime, scanning some data sources requires additional setup on the self-hosted integration runtime machine. * Besides the lineage on assets within the data source, lineage is also supported if dataset is used as a source/sink in Data Factory or Synapse pipeline. CategoryĪzure Dedicated SQL pool (formerly SQL DW) Select the data source, or the feature, to learn more. The table below shows the supported capabilities for each data source. Microsoft Purview Data Map available data sources This article discusses currently supported data sources, file types, and scanning concepts in the Microsoft Purview Data Map.