DECIMAL NUMERIC 可选精度的精确数字 REAL FLOAT4 单精度浮点数 DOUBLE PRECISION FLOAT8、FLOAT 双精度浮点数 CHAR CHARACTER、NCHAR、BPCHAR 固定长度字符串 VARCHAR CHARACTER VARYING、NVARCHAR、TEXT 具有用户定义的限制的可变长度字符串, DATE 日历日期(年、月、日) TIME TIME WITHOUT TIME ZONE Time of ...
datashare_break_glass_session_var datestyle default_geometry_encoding describe_field_name_in_uppercase downcase_delimited_identifier enable_case_sensitive_identifier enable_case_sensitive_super_attribute enable_numeric_rounding enable_result_cache_for_session enable_vacuum_boost error_on_nondeterministic_updat...
Redshift lacks support for several PostgreSQL data types: Arrays BIT, BIT VARYING BYTEA Composite types Date/time types INTERVAL and TIME Enumerated types Geometric types JSON Network address types Numeric types SERIAL, BIGSERIAL, SMALLSERIAL, and MONEY Object identifier types Pseudo-t...
Native support for advanced analytics: Amazon Redshift supports standard scalar data types such as NUMBER, VARCHAR, and DATETIME and provides native support for the following advanced analytics processing: • Spatial data processing: Amazon Redshift provides a polymorphic data type, GEOMETRY, which ...
2.1 Data Type and Type Conversion For more details about MaxCompoute data types, please seethis link 2.2 Syntax Comparison MaxCompute does not have the concepts of schema, group, library, and stored procedure. There are only projects, tables, and partitions. MaxCompute does not have auto-increm...
When reading data, both RedshiftTIMESTAMPandTIMESTAMPTZdata types are mapped to SparkTimestampType, and a value is converted to Coordinated Universal Time (UTC) and is stored as the UTC timestamp. For a RedshiftTIMESTAMP, the local timezone is assumed as the value does not have any 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) ...
Native support for advanced analytics:Amazon Redshift supports standard scalar data types such as NUMBER, VARCHAR, and DATETIME and provides native support for the following advanced analytics processing: •Spatial data processing:Amazon Redshift provides a polymorphic data type, GEOMETRY, which supports...
When reading data, both Redshift TIMESTAMP and TIMESTAMPTZ data types are mapped to Spark TimestampType, and a value is converted to Coordinated Universal Time (UTC) and is stored as the UTC timestamp. For a Redshift TIMESTAMP, the local timezone is assumed as the value does not have ...
•NumericTypes • SERIAL, BIGSERIAL, SMALLSERIAL • MONEY • Object Identifier Types • Pseudo-Types •RangeTypes • TextSearchTypes • TXID_SNAPSHOT • UUID • XML3、redshift 不支持的 postgresql functions Unsupported PostgreSQL functions ...