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Connections can be reused so this would track across queries.\n\n**Query Id**\nInternal id to track what happens under a query. Useful because the same query can be used with multiple connections.\n\n**Correlation Id**\nExternal id, such as request ID, to track what happens under a request. Useful to track multiple connections in the same request.\n\nUse the logger package under logger.go to set up logging (from zerolog).\nBy default, logging level is `warn`. If you want to disable logging, use `disabled`.\nThe user can also utilize Track() and Duration() to custom log the elapsed time of anything tracked.\n\nThe result log may look like this:\n\nUse the driverctx package under driverctx/ctx.go to add callbacks to the query context to receive the connection id and query id.\n\nPassing parameters to a query is supported when run against servers with version DBR 14.1.\n\nFor complex types, you can specify the SQL type using the dbsql.Parameter type field. If this field is set, the value field MUST be set to a string.\n\nPlease note that named and positional parameters cannot be used together in the single query.\n\nThe Go driver now supports staging operations. In order to use a staging operation, you first must update the context with a list of folders that you are allowing the driver to access.\n\nAfter doing so, you can execute staging operations using this context using the exec context.\n\nThere are three error types exposed via dbsql/errors\n\nEach type has a corresponding sentinel value which can be used with errors.Is() to determine if one of the types is present in an error chain.\n\nExample usage:\n\nSee the documentation for dbsql/errors for more information.\n\nThe driver supports the ability to retrieve Apache Arrow record batches.\nTo work with record batches it is necessary to use sql.Conn.Raw() to access the underlying driver connection to retrieve a driver.Rows instance.\nThe driver exposes two public interfaces for working with record batches from the rows sub-package:\n\nThe driver.Rows instance retrieved using Conn.Raw() can be converted to a Databricks Rows instance via a type assertion, then use GetArrowBatches() to retrieve a batch iterator.\nIf the ArrowBatchIterator is not closed it will leak resources, such as the underlying connection.\nCalling code must call Release() on records returned by DBSQLArrowBatchIterator.Next().\n\nExample usage:\n\n==================================\n\nDatabricks Type --\u003e Golang Type\n\n==================================\n\nBOOLEAN --\u003e bool\n\nTINYINT --\u003e int8\n\nSMALLINT --\u003e int16\n\nINT --\u003e int32\n\nBIGINT --\u003e int64\n\nFLOAT --\u003e float32\n\nDOUBLE --\u003e float64\n\nVOID --\u003e nil\n\nSTRING --\u003e string\n\nDATE --\u003e time.Time\n\nTIMESTAMP --\u003e time.Time\n\nDECIMAL(p,s) --\u003e sql.RawBytes\n\nBINARY --\u003e sql.RawBytes\n\nARRAY\u003celementType\u003e --\u003e sql.RawBytes\n\nSTRUCT --\u003e sql.RawBytes\n\nMAP\u003ckeyType, valueType\u003e --\u003e sql.RawBytes\n\nINTERVAL (year-month) --\u003e string\n\nINTERVAL (day-time) --\u003e string\n\nFor ARRAY, STRUCT, and MAP types, sql.Scan can cast sql.RawBytes to JSON string, which can be unmarshalled to Golang\narrays, maps, and structs. 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