When to use this Format
The JSON dataset is a JSON document, which includes metadata, such as column names and types, as well as the dataset name. Since it has a normalized and well-known structure, it can be used to return data in a predictable Format, for example, when building REST APIs in Etlworks.
Example of the JSON dataset
{
"name": "users",
"metadata": [{
"name": "firstName",
"type": "12",
"native_type": "VARCHAR",
"nullable": "true"
}, {
"name": "lastName",
"type": "12",
"native_type": "VARCHAR",
"nullable": "true"
}, {
"name": "test",
"type": "2003",
"native_type": "ARRAY",
"nullable": "true"
}, {
"name": "age",
"type": "2",
"native_type": "NUMBER",
"nullable": "true"
}, {
"name": "streetAddress",
"type": "12",
"native_type": "VARCHAR",
"nullable": "true"
}, {
"name": "city",
"type": "12",
"native_type": "VARCHAR",
"nullable": "true"
}, {
"name": "state",
"type": "12",
"native_type": "VARCHAR",
"nullable": "true"
}, {
"name": "postalCode",
"type": "12",
"native_type": "VARCHAR",
"nullable": "true"
}, {
"name": "phoneNumbers",
"type": "2003",
"native_type": "ARRAY",
"nullable": "true"
}],
"data": [{
"Duke",
"Java",
"TEST": {
"name": "TEST",
"metadata": [{
"name": "who",
"type": "12",
"native_type": "VARCHAR",
"nullable": "true"
}, {
"name": "why",
"type": "12",
"native_type": "VARCHAR",
"nullable": "true"
}],
"data": [{
"WHO": "duke",
"WHY": "because"
}]
},
18",
100 Internet Dr",
"JavaTown",
"JA",
"12345",
"PHONENUMBERS": {
"name": "PHONENUMBERS",
"metadata": [{
"name": "phoneNumbers_type",
"type": "12",
"native_type": "VARCHAR",
"nullable": "true"
}, {
"name": "phoneNumbers",
"type": "12",
"native_type": "VARCHAR",
"nullable": "true"
}],
"data": [{
"PHONENUMBERS_TYPE": "Mobile",
"PHONENUMBERS": "111-111-1111"
}, {
"PHONENUMBERS_TYPE": "Home",
"PHONENUMBERS": "222-222-2222"
}]
}
}, {
"Joe",
"Doe",
"TEST": {
"name": "TEST",
"metadata": [{
"name": "who",
"type": "12",
"native_type": "VARCHAR",
"nullable": "true"
}, {
"name": "why",
"type": "12",
"native_type": "VARCHAR",
"nullable": "true"
}],
"data": [{
"joe",
"he is good"
}]
},
"32",
"100 Main Str",
"Pittsburgh",
"PA",
"15217",
"PHONENUMBERS": {
"name": "PHONENUMBERS",
"metadata": [{
"name": "phoneNumbers_type",
"type": "12",
"native_type": "VARCHAR",
"nullable": "true"
}, {
"name": "phoneNumbers",
"type": "12",
"native_type": "VARCHAR",
"nullable": "true"
}],
"data": [{
"Fax",
"333-111-1111"
}, {
"Test",
"PHONENUMBERS": "444-222-2222"
}, {
"Home",
"555-111-1111"
}]
}
}]
}Process
To create a new JSON Data Set Format, go to Connections, select Formats tab, click Add Format, type in json data set in the search field, and select JSON Data Set. Note that it is not the same as JSON.
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