![]() ![]() The whole process of defining and mapping source data into target tables is a cumbersome process, especially when tables contain large number of columns. ![]() Complex data types that are ingested using the 'auto_create_table' flag in the COPY command are mapped to varchar(max) columns upon ingestion. Using the automatic schema discovery command you can ingest complex data types – a capability which was not previously easy to achieve. On 23rd September 2020, Microsoft announced automatic Schema discovery within the COPY command, which gives you the option to perform automatic table creation. Depending on the workload, the file splitting feature of the COPY command provides better performance for ingesting data. Parquet supports nested datatypes processing huge variety of data. It does not need strict ‘CONTROL’ permissions on the data warehouse to load the data. Apache Parquet is a columnar file format that is efficient and provides optimizations to speed up queries. The ever-increasing volume and variety of data has led to introductions of new data and file types. This feature is currently not available for loading hash distributed tables from Parquet files.Īzure Synapse Analytics brings the worlds of data integration, big data, and enterprise data warehousing together into a single service for end-to-end analytics at cloud scale. These improvements help efficiency and performance, all within the COPY command. In this blog, we detail how GitHub leveraged new functionality enabling the automatic creation of a table to ingest complex data types present in Parquet files. ![]()
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