Snowflake · Schema
ColumnType
DataData WarehouseData LakehouseCloud Data PlatformAnalyticsArtificial IntelligenceData EngineeringData GovernanceSQLApache IcebergModel Context ProtocolT1
Properties
| Name | Type | Description |
|---|---|---|
| name | string | Argument name |
| datatype | string | Argument data type |
JSON Schema
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"$id": "#/components/schemas/ColumnType",
"title": "ColumnType",
"type": "object",
"properties": {
"name": {
"type": "string",
"pattern": "^\"([^\"]|\"\")+\"|[a-zA-Z_][a-zA-Z0-9_$]*$",
"description": "Argument name",
"example": "Example Title"
},
"datatype": {
"type": "string",
"enum": [
"ARRAY",
"BIGINT",
"BINARY",
"BOOLEAN",
"BYTEINT",
"CHAR",
"CHARACTER",
"DATE",
"DATETIME",
"DECIMAL",
"DOUBLE",
"DOUBLE PRECISION",
"FLOAT",
"FLOAT4",
"FLOAT8",
"GEOGRAPHY",
"GEOMETRY",
"INT",
"INTEGER",
"NUMBER",
"NUMERIC",
"OBJECT",
"REAL",
"STRING",
"SMALLINT",
"TEXT",
"TIME",
"TIMESTAMP_LTZ",
"TIMESTAMP_NTZ",
"TIMESTAMP_TZ",
"TINYINT",
"VARBINARY",
"VARCHAR",
"VARIANT",
"VECTOR"
],
"x-enum-varnames": [
"ARRAY",
"BIGINT",
"BINARY",
"BOOLEAN",
"BYTEINT",
"CHAR",
"CHARACTER",
"DATE",
"DATETIME",
"DECIMAL",
"DOUBLE",
"DOUBLE_PRECISION",
"FLOAT",
"FLOAT4",
"FLOAT8",
"GEOGRAPHY",
"GEOMETRY",
"INT",
"INTEGER",
"NUMBER",
"NUMERIC",
"OBJECT",
"REAL",
"STRING",
"SMALLINT",
"TEXT",
"TIME",
"TIMESTAMP_LTZ",
"TIMESTAMP_NTZ",
"TIMESTAMP_TZ",
"TINYINT",
"VARBINARY",
"VARCHAR",
"VARIANT",
"VECTOR"
],
"description": "Argument data type",
"example": "ARRAY"
}
},
"required": [
"name",
"datatype"
]
}
Work with this as data
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