VARIANT 同时包含 JSON 和 ARRAY,因此,JSON 的 ARRAY 仍然是 VARIANT。 它不执行类型/形状强制。它只是一个任何类型。 因此一些数据通过PARSE_JSON变成了VARIANT: select $1 as str, PARSE_JSON(str) as json, TYPEOF(json) as type, SYSTEM$TYPEOF(json) as sys_type from values ('["arrray","of",...
CREATEORREPLACETABLEmy_table(idINT,json_dataVARIANT);INSERTINTOmy_table(id,json_data)VALUES(1,PARSE_JSON('{"name": "Alice", "age": 30, "address": {"city": "New York", "zip": "10001"}}')),(2,PARSE_JSON('{"name": "Bob", "age": 25, "address": {"city": "San Francisco...
因此,这是有效的JSON,因此,您应该使用JSON semi-structured数据函数来将其拆开 但要向您展示第一步: 我使用了一个CTE来获取JSON,并将此字符串解析为VARAINT: with data as ( select parse_json('[ { "id": "123456", "outwardIssue": { "fields": { "type": { "avatarId": 500, "description": "...
问Snowflake中JSON列表的解析-- redshift sql到snowflake sql的转换EN雪花算法这一在分布式架构中很常见...
// 该方法用于解析生成的 UID,解析后返回一个 JSON 格式的字符串 @Override public String parseUID(long uid) { long totalBits = BitsAllocator.TOTAL_BITS; long signBits = bitsAllocator.getSignBits(); long timestampBits = bitsAllocator.getTimestampBits(); ...
SELECT column1, ARRAY_TO_STRING(PARSE_JSON(column1), '') AS no_separation, ARRAY_TO_STRING(PARSE_JSON(column1), ', ') AS comma_separated FROM VALUES (NULL), ('[]'), ('[1]'), ('[1, 2]'), ('[true, 1, -1.2e-3, "Abc", ["x","y"], {"a":1}]'), ('[, 1]'...
Format Metadata.Format string For v2 endpoints the only possible value for this field is jsonv2. Partitions Partitions array of object Partition information RowCount Partitions.RowCount integer Number of rows in the partition. CompressedSize Partitions.CompressedSize integer the partition size before the...
For v2 endpoints the only possible value for this field is jsonv2. rowType resultSetMetaData.rowType array of object name resultSetMetaData.rowType.name string type resultSetMetaData.rowType.type string nullable resultSetMetaData.rowType.nullable boolean partitionInfo partitionInfo array of...
(ARRAY_CAT( ARRAY_AGG(OBJECT_CONSTRUCT(*)), -- Partition columns are defined as expressions based on the filename [ PARSE_JSON('{ "COLUMN_NAME": "YEAR", "EXPRESSION": "TO_NUMBER(SPLIT_PART(SPLIT_PART(metadata$filename, \'/\', 2), \'=\', 2))", "NULLABLE": false, "TYPE": ...
ARRAY和OBJECT类型值也可以从string映射为VARIANT值,这种也被称为document,在文档存储中的概念(MongoDB,Couchbase)。 VARIANT可以以ELT(提取-加载-转换)而非传统的ETL方式使用snowflake,用户可以将输入数据从JSON、Avro或者XML格式直接加载到VARIANT列中,snowflake来处理解析和类型处理,这种方式被称做"schema later"。