![]() This requirement is the same if you use Hive/HiveQL in Hadoop to query RC files. This option requires you to specify a Hive Serializer and Deserializer (SerDe) method. Specifies a Record Columnar file format (RcFile). In Hadoop, the ORC file format offers better compression and performance than the RCFILE file format.įORMAT_TYPE = RCFILE, SERDE_METHOD = SERDE_method This option requires Hive version 0.11 or higher on the external Hadoop cluster. Specifies an Optimized Row Columnar (ORC) format. Specifies the format of the external data. Specifies a name for the external file format. Create an external file format for delta table files (serverless SQL pools in Synapse analytics and SQL Server 2022). Create an external file format for JSON files. Create an external file format for PARQUET files. This syntax is not supported by serverless SQL pool in Azure Synapse Analytics. Create an external file format for RC files. | FIRST_ROW = integer - Applies to: Azure Synapse Analytics and SQL Server 2022 and later versions Create an external file format for DELIMITED (CSV/TSV) files.ĬREATE EXTERNAL FILE FORMAT file_format_name ![]() For information on using OPENROWSET to import JSON data in other platforms, see Import JSON documents into SQL Server or Query JSON files using serverless SQL pool in Azure Synapse Analytics.Īpplies only to serverless SQL pools in Azure Synapse Analytics and SQL Server 2022 (16.x). The following file formats are supported:ĭoesn't apply to Azure Synapse Analytics, Azure SQL Managed Instance, or SQL Server 2022 (16.x). To create an External Table, see CREATE EXTERNAL TABLE (Transact-SQL). By creating an External File Format, you specify the actual layout of the data referenced by an external table. Creating an external file format is a prerequisite for creating an External Table. SQL Server 2016 (13.x) and later Azure SQL Managed Instance Azure Synapse Analytics Analytics Platform System (PDW)Ĭreates an external file format object defining external data stored in Hadoop, Azure Blob Storage, Azure Data Lake Store or for the input and output streams associated with external streams.
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