17.10 - Example: Matching Schemas - Advanced SQL Engine - Teradata Database

Teradata Vantageā„¢ - DATASET Data Type

Product
Advanced SQL Engine
Teradata Database
Release Number
17.10
Published
July 2021
Language
English (United States)
Last Update
2021-07-27
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The following schemas present various examples of schema matching. Some have matching schemas, while others do not.

/*fail due to name of symbol mismatch*/
SELECT SchemaMatch(
'{ "type": "enum",
   "name": "Suit",
   "symbols" : ["SPADES", "HEARTS", "DIAMONDS", "CLUBS"]
 }'
, 
'{ "type": "enum",
   "name": "Suits",
   "symbols" : ["SPADES", "HEARTS", "DIAMONDS", "CLUBS"]
 }');
> 0

/*fail due to structural mismatch*/
SELECT SchemaMatch(
'{ "type": "enum",
   "name": "Suit",
   "symbols" : ["SPADES", "HEARTS", "DIAMONDS", "CLUBS"]
 }'
, 
'{ "type" : "array",
   "items" : {
	"type": "record",
	"name": "test",
	"doc": "this is unique01",
	"fields" : [
		{"name": "a", "type": "long"},
		{"name": "b", "type": "string"}
	]
 }}');
> 0

/*success - doc is ignored, ordering of names does not matter, long promotes to double, and int promotes to float*/
SELECT SchemaMatch(
'{ "type" : "array",
   "items" : {
	"type": "record",
	"name": "test",
	"doc": "this is unique01",
	"fields" : [
		{"name": "a", "type": "long"},
		{"name": "b", "type": "int"}
	]
 }}', 
'{ "type" : "array",
   "items" : {
	"type": "record",
	"name": "test",
	"doc": "this is unique02",
	"fields" : [
		{"name": "b", "type": "float"},
		{"name": "a", "type": "double"}
	]
 }}');
> 1