best_fit is often preferred since it maps to the most With Avro since Connect’s DECIMAL type is mapped to its binary The none option is the default, but may lead to serialization issues.Precision assuming that column’s scale is 0. Use precision_only to map NUMERIC columns based only on the column’s.Use best_fit_eager_double if, in addition to the properties of best_fit describedĪbove, it is desirable to always cast NUMERIC columns with scale to Connect FLOAT64 type,.
Not be able to fit in a native INT64 without overflowing and thus would be retained as For example, a NUMERIC(20) type with precision 20 would Still represent the NUMERIC value as Connect DECIMAL if it cannot be cast to a native INT16, INT32, INT64, or FLOAT64 based upon the column’s precision and scale.This option may Use best_fit if NUMERIC columns should be cast to Connect’s INT8,.Use none if all NUMERIC columns are to be represented by Connect’s.Map NUMERIC values by precision and optionally scale to integral or decimal A future version may remove itĬompletely. Whether or not to attempt mapping NUMERIC values by precision to integral Make sure to set this parameter for large databases. If you leave this at the default null setting, the connector may time outĪnd fail because of the large amount of table metadata being received. Search and that all table metadata is fetched, regardless of the schema. Schema pattern to fetch table metadata from the database. If specified, table.whitelist mayĮxample, table.blacklist: "User, Address, Email"). Use a comma-separated list to specify multiple tables (forĮxample, table.whitelist: "User, Address, Email"). Search and that all table metadata is fetched, regardless of the catalog.
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