Export SQL Server to AZ Datalake Gen2 in JSON
Fast, parallel data export with zero intermediate storage
Terminal
.\FastBCP.exe `
--connectiontype "mssql" `
--server "host.domain | host.domain,port | host.domain,port/service" `
--database "tpch" `
--trusted `
--sourceschema "tpch10" `
--sourcetable "orders" `
--query "SELECT * FROM tpch10.orders" `
--directory "abfss://storageaccount.dfs.core.windows.net/fastbcpexport/raw/{sourcedatabase}/{sourceschema}" `
--fileoutput "{sourcetable}.json" `
--decimalseparator "." `
--dateformat "yyyy-MM-dd HH:mm:ss" `
--encoding "UTF-8" `
--method "Ntile" `
--distributekeycolumn "o_orderkey" `
--paralleldegree -2 `
--merge false `
--runid "runidfromcaller"Source - SQL Server
Microsoft SQL Server is a leading enterprise data platform. FastBCP uses advanced techniques to extract SQL Server data with maximum efficiency.
Features:
- •Native SQL Server driver
- •Support for SQL Server-specific data types
- •Optimized for Windows and Linux environments
Parallel Method - Ntile
Divides data into N equal partitions based on a numeric column.
Requirement: Requires a numeric distribution column
Available parallel methods with SQL Server:
Output Format - JSON (JavaScript Object Notation)
JSON is the most widely used data exchange format on the web. FastBCP exports data to JSON Lines (NDJSON) format, with one record per line for efficient streaming.
Features:
- •JSON Lines (NDJSON) format
- •One record per line for streaming
- •UTF-8 encoding
- •Compatible with all JSON parsers
Destination - Azure Data Lake Gen2
Azure Data Lake Storage Gen2 combines Azure Blob Storage with hierarchical namespace for big data analytics. FastBCP optimizes uploads for ADLS Gen2.
Storage Type:
Cloud Data Lake
Features:
- •Hierarchical namespace support
- •Optimized for analytics workloads
- •POSIX-compliant access control
- •Native integration with Azure services
