I have some avro data like this which is printed in terminal.
{"cust_status_id":0, "cust_status_description":{"string":" Approved"}}
The avro schema which I have created is like
{
"namespace": "com.thp.report.model",
"type": "record",
"name": "PraStatusMaster",
"fields": [
{
"name": "cust_status_id",
"type": "int"
},
{
"name": "cust_status_description",
"type": "string",
"avro.java.string": "String"
}
]
}
Is the schema correct??
Correct schema for your json is the following one:
{
"name": "PraStatusMaster",
"type": "record",
"namespace": "com.thp.report.model",
"fields": [
{
"name": "cust_status_id",
"type": "int"
},
{
"name": "cust_status_description",
"type": {
"name": "cust_status_description",
"type": "record",
"fields": [
{
"name": "string",
"type": "string"
}
]
}
}
]
}
Related
I am trying to generate avro schema for nested array .
The top most array stores is the issue, however inner array Business is correct.
{"name": "Stores",
"type": {
"type": "array",
"items": {
"name": "Hours",
"type": "record",
"fields": [
{
"name": "Week",
"type": "string"
},
{"name": "Business",
"type":"array",
"items": {"name":"Business_record","type":"record","fields":[
{"name": "Day", "type":"string"},
{"name": "StartTime", "type": "string"},
{"name": "EndTime", "type": "string"}
]}
}
]
}
}
And the exception im getting is :
[ {
"level" : "fatal",
"message" : "illegal Avro schema",
"exceptionClass" : "org.apache.avro.SchemaParseException",
"exceptionMessage" : "No type: {\"name\":\"Stores\",\"type\":{\"type\":\"array\",\"items\":{\"name\":\"Hours\",\"type\":\"record\",\"fields\":[{\"name\":\"Week\",\"type\":\"string\"},{\"name\":\"Business\",\"type\":\"array\",\"items\":{\"name\":\"Business_record\",\"type\":\"record\",\"fields\":[{\"name\":\"Day\",\"type\":\"string\"},{\"name\":\"StartTime\",\"type\":\"string\"},{\"name\":\"EndTime\",\"type\":\"string\"}]}}]}}}",
"info" : "other messages follow (if any)"
} ]
I think something to do with [] Or{} for the outer array fields but I'm not able to figure it out.
Any help is appreciated.
I found the mistake i was doing:
when added the "type": for the nested array it worked for me.
{
"name": "Stores",
"type": "array",
"items": {
"name": "Hours",
"type": "record",
"fields": [
{
"name": "Week",
"type": "string"
},
{
"name": "Business",
"type": {
"type": "array",
"items": {
"name": "Business_record",
"type": "record",
"fields": [
{
"name": "Day",
"type": "string"
},
{
"name": "StartTime",
"type": "string"
},
{
"name": "EndTime",
"type": "string"
}
]
}
}
}
]
}
}
so im trying to parse an object with this avro schema.
object is like:
myInfo: {size: 'XL'}
But Its behaving like the record type doesn't actually exist and im getting a undefined type name: data.platform_data.test_service.result.record at Function.Type.forSchema for it.
schema looks like:
"avro": {
"metadata": {
"loadType": "full",
"version": "0.1"
},
"schema": {
"name": "data.platform_data.test_service.result",
"type": "record",
"fields": [
{
"name": "myInfo",
"type": "record",
"fields": [{
"name": "size",
"type": {"name":"size", "type": "string"}
}]
}
]
}
}
I should mention im also using avsc for this. Anybody have any ideas? I've tried pretty much all combinations but afaik the only way of parsing out an objct like this is with record
Playing around with the schema, I found that "type": "record" is a problem. I moved it to nested definition. And it worked. Seems like description here is little bit confusing.
Change
Before:
{
"name": "myInfo",
"type": "record",
"fields": [{
"name": "size",
"type": {"name":"size", "type": "string"}
}]
}
After:
{
"name": "myInfo",
"type": {
"type": "record",
"name": "myInfo",
"fields": [
{
"name": "size",
"type": {"name":"size", "type": "string"}
}
]
}
}
Updated schema which is working:
{
"name": "data.platform_data.test_service.result",
"type": "record",
"fields": [
{
"name": "myInfo",
"type": {
"type": "record",
"name": "myInfo",
"fields": [
{
"name": "size",
"type": {"name":"size", "type": "string"}
}
]
}
}
]
}
To make a record attribute nullable, process is same as any other attribute. You need to union with "null" (as show in below schema):
{
"name": "data.platform_data.test_service.result",
"type": "record",
"fields": [
{
"name": "myInfo",
"type": [
"null",
{
"type": "record",
"name": "myInfo",
"fields": [
{
"name": "size",
"type": {
"name": "size",
"type": "string"
}
}
]
}
]
}
]
}
I am using the NiFi (v1.2) processor ConvertJSONToAvro. I am not able to parse a record that only contains 1 of 2 elements in a "record" type. This element is also allowed to be missing entirely from the data. Is my Avro schema incorrect?
Schema snippet:
"name": "personname",
"type": [
"null":,
{
"type": "record",
"name": "firstandorlast",
"fields": [
{
"name": "first",
"type": [
"null",
"string"
]
},
{
"name": "last",
"type": [
"null",
"string"
]
}
]
}
]
If "personname" contains both "first" and "last" it works, but if it only contains one of the elements, it fails with the error: Cannot convert field personname: cannot resolve union:
{ "last":"Smith" }
not in
"type": [ "null":,
{
"type": "record",
"name": "firstandorlast",
"fields": [
{
"name": "first",
"type": [
"null",
"string"
]
},
{
"name": "last",
"type": [
"null",
"string"
]
}
]
}
]
You are missing the default value
https://avro.apache.org/docs/1.8.1/spec.html#schema_record
Your schema should looks like
"name": "personname",
"type": [
"null":,
{
"type": "record",
"name": "firstandorlast",
"fields": [
{
"name": "first",
"type": [
"null",
"string"
],
"default": "null"
},
{
"name": "last",
"type": [
"null",
"string"
],
"default": "null"
}
]
}
]
I want to define my array element as a union. Is it possible? If so please share a sample schema.
I think this is what you are looking for:
Avro Schema:
{
"type": "record",
"namespace": "example.avro",
"name": "array_union",
"fields": [
{
"name": "body",
"type": {
"name": "body",
"type": "record",
"fields": [
{
"name": "abc",
"type": [
"null",
{
"type": "array",
"name": "abc_name_0",
"items": {
"name": "_name_0",
"type": "record",
"fields": [
{
"name": "app_id",
"type": [
"null",
"string"
]
},
{
"name": "app_name",
"type": [
"null",
"string"
]
},
{
"name": "app_key",
"type": [
"null",
"string"
]
}
]
}
}
]
}
]
}
}
]
}
Valid Json that schema can accept:
{
"body": {
"abc": {
"array": [
{
"app_id": {
"string": "abc"
},
"app_name": {
"string": "bcd"
},
"app_key": {
"string": "cde"
}
}
]
}
}
}
Or,
{
"body": {
"abc": null
}
}
You could add this below piece of code as a record field type
{
"name": "some_type",
"type": {
"type": "array",
"items": {
"name": "SomeType",
"type": "record",
"fields": [
{
"name": "name",
"type": ["null", "string"]
},
{
"name": "text",
"type": "string"
},
{
"name": "type",
"type": {
"name": "NamedTextType",
"type": "enum",
"symbols": [ "named_text", "common_named_text" ]
}
}
]
}
}
}
Hope this helps!
I am trying to create two Avro schemas using the avro-tools-1.7.4.jar create schema command.
I have two JSON schemas which look like this:
{
"name": "TestAvro",
"type": "record",
"namespace": "com.avro.test",
"fields": [
{"name": "first", "type": "string"},
{"name": "last", "type": "string"},
{"name": "amount", "type": "double"}
]
}
{
"name": "TestArrayAvro",
"type": "record",
"namespace": "com.avro.test",
"fields": [
{"name": "date", "type": "string"},
{"name": "records", "type":
{"type":"array","items":"com.avro.test.TestAvro"}}
]
}
When I run the create schema on these two files the first one works fine and generates the java. The second one fails every time. It does not like the array items when I try and use the first Schema as the type. This is the error I get:
Exception in thread "main" org.apache.avro.SchemaParseException: Undefined name: "com.test.avro.TestAvro"
at org.apache.avro.Schema.parse(Schema.java:1052)
Both files are located in the same path directory.
Use the below avsc file:
[{
"name": "TestAvro",
"type": "record",
"namespace": "com.avro.test",
"fields": [
{
"name": "first",
"type": "string"
},
{
"name": "last",
"type": "string"
},
{
"name": "amount",
"type": "double"
}
]
},
{
"name": "TestArrayAvro",
"type": "record",
"namespace": "com.avro.test",
"fields": [
{
"name": "date",
"type": "string"
},
{
"name": "records",
"type": {
"type": "array",
"items": "com.avro.test.TestAvro"
}
}
]
}]