DECIMAL or NUMERIC type Use the DECIMAL or NUMERIC data type to store values with a user-defined precision. The DECIMAL and NUMERIC keywords are interchangeable. In this document, decimal is the preferred term for this data type. The term numeric is used generically to refer to integer, ...
Data type Aliases Description SMALLINT INT2 Signed two-byte integer INTEGER INT, INT4 Signed four-byte integer BIGINT INT8 Signed eight-byte integer DECIMAL NUMERIC Exact numeric of selectable precision REAL FLOAT4 Single precision floating-point number DOUBLE PRECISION FLOAT8, FLOAT Double...
numeric DecimalType int2, int4 IntegerType int8, oid, xid LongType float4 FloatType 배정밀도, float8, money DoubleType bpchar, char, character varying, name, super, text, tid, varchar StringType bytea, geometry, varbyte BinaryType bit, bool BooleanType date DateType tabstime, time...
dtypedict.update({i: Float(precision=2, asdecimal=True)})#if"float" in str(j):#dtypedict.update({i: Numeric(precision=18,scale=4, asdecimal=True)})if"int"instr(j): dtypedict.update({i: Integer()})returndtypedict dtypedict = mapping_df_types(data) data.to_sql(totablename,mys...
DECIMAL SQL_NUMERIC BigDecimal DOUBLE PRECISION SQL_DOUBLE Double GEOMETRY SQL_ LONGVARBINARY byte[] INTEGER SQL_INTEGER 整数 OID SQL_BIGINT 长整型 SUPER SQL_LONGVARCHAR 字符串 REAL SQL_REAL Float SMALLINT SQL_SMALLINT 短型 TEXT SQL_VARCHAR 字符串 TIME SQL_TYPE_TIME java.sql.Time TIMETZ SQL...
Numeric data type needs to be converted to decimal type. In::character varying,'1900/01/01'::text, the two colons and their following contents need to be deleted because MaxCompute does not support them. In"n_car_no" numeric DEFAULT -1::numeric, -1 needs to be removed. MaxCompute does...
connection_type character varying(10), device_make character varying(20), device_model character varying(50), gps_state character varying(10), map_source character varying(10), current_lat numeric(15,6), current_lon numeric(15,6), altitude numeric(15,6), ...
If there exists NULL value for some sub query, it is needed to cast the NULL value to the numeric datatype. Error info: [Assert error] This means the Redshift performance is bad, usually multiple large table join, more CTAS is needed. ...
performance on datasets of varying sizes. Columnar storage, data compression, and zone maps are designed to reduce the amount of I/O needed to perform queries. Along with the encodings such as LZO and Zstandard, Amazon Redshift also offers compression encoding, AZ64, for numeric and date/time...
connection_type character varying(10), device_make character varying(20), device_model character varying(50), gps_state character varying(10), map_source character varying(10), current_lat numeric(15,6), current_lon numeric(15,6), altitude numeric(15,6), ...