/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.kafka.connect.json;
import com.fasterxml.jackson.databind.JsonNode;
import com.fasterxml.jackson.databind.node.ArrayNode;
import com.fasterxml.jackson.databind.node.JsonNodeFactory;
import com.fasterxml.jackson.databind.node.ObjectNode;
import org.apache.kafka.common.cache.Cache;
import org.apache.kafka.common.cache.LRUCache;
import org.apache.kafka.common.cache.SynchronizedCache;
import org.apache.kafka.common.errors.SerializationException;
import org.apache.kafka.connect.data.SchemaBuilder;
import org.apache.kafka.connect.data.Schema;
import org.apache.kafka.connect.data.Struct;
import org.apache.kafka.connect.data.Field;
import org.apache.kafka.connect.data.ConnectSchema;
import org.apache.kafka.connect.data.SchemaAndValue;
import org.apache.kafka.connect.data.Timestamp;
import org.apache.kafka.connect.data.Time;
import org.apache.kafka.connect.data.Decimal;
import org.apache.kafka.connect.data.Date;
import org.apache.kafka.connect.errors.DataException;
import org.apache.kafka.connect.storage.Converter;
import java.io.IOException;
import java.math.BigDecimal;
import java.nio.ByteBuffer;
import java.util.ArrayList;
import java.util.Collection;
import java.util.HashMap;
import java.util.Iterator;
import java.util.Map;
/**
* Implementation of Converter that uses JSON to store schemas and objects.
*/
public class JsonConverter implements Converter {
private static final String SCHEMAS_ENABLE_CONFIG = "schemas.enable";
private static final boolean SCHEMAS_ENABLE_DEFAULT = true;
private static final String SCHEMAS_CACHE_SIZE_CONFIG = "schemas.cache.size";
private static final int SCHEMAS_CACHE_SIZE_DEFAULT = 1000;
private static final HashMap<Schema.Type, JsonToConnectTypeConverter> TO_CONNECT_CONVERTERS = new HashMap<>();
static {
TO_CONNECT_CONVERTERS.put(Schema.Type.BOOLEAN, new JsonToConnectTypeConverter() {
@Override
public Object convert(Schema schema, JsonNode value) {
return value.booleanValue();
}
});
TO_CONNECT_CONVERTERS.put(Schema.Type.INT8, new JsonToConnectTypeConverter() {
@Override
public Object convert(Schema schema, JsonNode value) {
return (byte) value.intValue();
}
});
TO_CONNECT_CONVERTERS.put(Schema.Type.INT16, new JsonToConnectTypeConverter() {
@Override
public Object convert(Schema schema, JsonNode value) {
return (short) value.intValue();
}
});
TO_CONNECT_CONVERTERS.put(Schema.Type.INT32, new JsonToConnectTypeConverter() {
@Override
public Object convert(Schema schema, JsonNode value) {
return value.intValue();
}
});
TO_CONNECT_CONVERTERS.put(Schema.Type.INT64, new JsonToConnectTypeConverter() {
@Override
public Object convert(Schema schema, JsonNode value) {
return value.longValue();
}
});
TO_CONNECT_CONVERTERS.put(Schema.Type.FLOAT32, new JsonToConnectTypeConverter() {
@Override
public Object convert(Schema schema, JsonNode value) {
return value.floatValue();
}
});
TO_CONNECT_CONVERTERS.put(Schema.Type.FLOAT64, new JsonToConnectTypeConverter() {
@Override
public Object convert(Schema schema, JsonNode value) {
return value.doubleValue();
}
});
TO_CONNECT_CONVERTERS.put(Schema.Type.BYTES, new JsonToConnectTypeConverter() {
@Override
public Object convert(Schema schema, JsonNode value) {
try {
return value.binaryValue();
} catch (IOException e) {
throw new DataException("Invalid bytes field", e);
}
}
});
TO_CONNECT_CONVERTERS.put(Schema.Type.STRING, new JsonToConnectTypeConverter() {
@Override
public Object convert(Schema schema, JsonNode value) {
return value.textValue();
}
});
TO_CONNECT_CONVERTERS.put(Schema.Type.ARRAY, new JsonToConnectTypeConverter() {
@Override
public Object convert(Schema schema, JsonNode value) {
Schema elemSchema = schema == null ? null : schema.valueSchema();
ArrayList<Object> result = new ArrayList<>();
for (JsonNode elem : value) {
result.add(convertToConnect(elemSchema, elem));
}
return result;
}
});
TO_CONNECT_CONVERTERS.put(Schema.Type.MAP, new JsonToConnectTypeConverter() {
@Override
public Object convert(Schema schema, JsonNode value) {
Schema keySchema = schema == null ? null : schema.keySchema();
Schema valueSchema = schema == null ? null : schema.valueSchema();
// If the map uses strings for keys, it should be encoded in the natural JSON format. If it uses other
// primitive types or a complex type as a key, it will be encoded as a list of pairs. If we don't have a
// schema, we default to encoding in a Map.
Map<Object, Object> result = new HashMap<>();
if (schema == null || keySchema.type() == Schema.Type.STRING) {
if (!value.isObject())
throw new DataException("Maps with string fields should be encoded as JSON objects, but found " + value.getNodeType());
Iterator<Map.Entry<String, JsonNode>> fieldIt = value.fields();
while (fieldIt.hasNext()) {
Map.Entry<String, JsonNode> entry = fieldIt.next();
result.put(entry.getKey(), convertToConnect(valueSchema, entry.getValue()));
}
} else {
if (!value.isArray())
throw new DataException("Maps with non-string fields should be encoded as JSON array of tuples, but found " + value.getNodeType());
for (JsonNode entry : value) {
if (!entry.isArray())
throw new DataException("Found invalid map entry instead of array tuple: " + entry.getNodeType());
if (entry.size() != 2)
throw new DataException("Found invalid map entry, expected length 2 but found :" + entry.size());
result.put(convertToConnect(keySchema, entry.get(0)),
convertToConnect(valueSchema, entry.get(1)));
}
}
return result;
}
});
TO_CONNECT_CONVERTERS.put(Schema.Type.STRUCT, new JsonToConnectTypeConverter() {
@Override
public Object convert(Schema schema, JsonNode value) {
if (!value.isObject())
throw new DataException("Structs should be encoded as JSON objects, but found " + value.getNodeType());
// We only have ISchema here but need Schema, so we need to materialize the actual schema. Using ISchema
// avoids having to materialize the schema for non-Struct types but it cannot be avoided for Structs since
// they require a schema to be provided at construction. However, the schema is only a SchemaBuilder during
// translation of schemas to JSON; during the more common translation of data to JSON, the call to schema.schema()
// just returns the schema Object and has no overhead.
Struct result = new Struct(schema.schema());
for (Field field : schema.fields())
result.put(field, convertToConnect(field.schema(), value.get(field.name())));
return result;
}
});
}
// Convert values in Kafka Connect form into their logical types. These logical converters are discovered by logical type
// names specified in the field
private static final HashMap<String, LogicalTypeConverter> TO_CONNECT_LOGICAL_CONVERTERS = new HashMap<>();
static {
TO_CONNECT_LOGICAL_CONVERTERS.put(Decimal.LOGICAL_NAME, new LogicalTypeConverter() {
@Override
public Object convert(Schema schema, Object value) {
if (!(value instanceof byte[]))
throw new DataException("Invalid type for Decimal, underlying representation should be bytes but was " + value.getClass());
return Decimal.toLogical(schema, (byte[]) value);
}
});
TO_CONNECT_LOGICAL_CONVERTERS.put(Date.LOGICAL_NAME, new LogicalTypeConverter() {
@Override
public Object convert(Schema schema, Object value) {
if (!(value instanceof Integer))
throw new DataException("Invalid type for Date, underlying representation should be int32 but was " + value.getClass());
return Date.toLogical(schema, (int) value);
}
});
TO_CONNECT_LOGICAL_CONVERTERS.put(Time.LOGICAL_NAME, new LogicalTypeConverter() {
@Override
public Object convert(Schema schema, Object value) {
if (!(value instanceof Integer))
throw new DataException("Invalid type for Time, underlying representation should be int32 but was " + value.getClass());
return Time.toLogical(schema, (int) value);
}
});
TO_CONNECT_LOGICAL_CONVERTERS.put(Timestamp.LOGICAL_NAME, new LogicalTypeConverter() {
@Override
public Object convert(Schema schema, Object value) {
if (!(value instanceof Long))
throw new DataException("Invalid type for Timestamp, underlying representation should be int64 but was " + value.getClass());
return Timestamp.toLogical(schema, (long) value);
}
});
}
private static final HashMap<String, LogicalTypeConverter> TO_JSON_LOGICAL_CONVERTERS = new HashMap<>();
static {
TO_JSON_LOGICAL_CONVERTERS.put(Decimal.LOGICAL_NAME, new LogicalTypeConverter() {
@Override
public Object convert(Schema schema, Object value) {
if (!(value instanceof BigDecimal))
throw new DataException("Invalid type for Decimal, expected BigDecimal but was " + value.getClass());
return Decimal.fromLogical(schema, (BigDecimal) value);
}
});
TO_JSON_LOGICAL_CONVERTERS.put(Date.LOGICAL_NAME, new LogicalTypeConverter() {
@Override
public Object convert(Schema schema, Object value) {
if (!(value instanceof java.util.Date))
throw new DataException("Invalid type for Date, expected Date but was " + value.getClass());
return Date.fromLogical(schema, (java.util.Date) value);
}
});
TO_JSON_LOGICAL_CONVERTERS.put(Time.LOGICAL_NAME, new LogicalTypeConverter() {
@Override
public Object convert(Schema schema, Object value) {
if (!(value instanceof java.util.Date))
throw new DataException("Invalid type for Time, expected Date but was " + value.getClass());
return Time.fromLogical(schema, (java.util.Date) value);
}
});
TO_JSON_LOGICAL_CONVERTERS.put(Timestamp.LOGICAL_NAME, new LogicalTypeConverter() {
@Override
public Object convert(Schema schema, Object value) {
if (!(value instanceof java.util.Date))
throw new DataException("Invalid type for Timestamp, expected Date but was " + value.getClass());
return Timestamp.fromLogical(schema, (java.util.Date) value);
}
});
}
private boolean enableSchemas = SCHEMAS_ENABLE_DEFAULT;
private int cacheSize = SCHEMAS_CACHE_SIZE_DEFAULT;
private Cache<Schema, ObjectNode> fromConnectSchemaCache;
private Cache<JsonNode, Schema> toConnectSchemaCache;
private final JsonSerializer serializer = new JsonSerializer();
private final JsonDeserializer deserializer = new JsonDeserializer();
@Override
public void configure(Map<String, ?> configs, boolean isKey) {
Object enableConfigsVal = configs.get(SCHEMAS_ENABLE_CONFIG);
if (enableConfigsVal != null)
enableSchemas = enableConfigsVal.toString().equals("true");
serializer.configure(configs, isKey);
deserializer.configure(configs, isKey);
Object cacheSizeVal = configs.get(SCHEMAS_CACHE_SIZE_CONFIG);
if (cacheSizeVal != null)
cacheSize = Integer.parseInt((String) cacheSizeVal);
fromConnectSchemaCache = new SynchronizedCache<>(new LRUCache<Schema, ObjectNode>(cacheSize));
toConnectSchemaCache = new SynchronizedCache<>(new LRUCache<JsonNode, Schema>(cacheSize));
}
@Override
public byte[] fromConnectData(String topic, Schema schema, Object value) {
JsonNode jsonValue = enableSchemas ? convertToJsonWithEnvelope(schema, value) : convertToJsonWithoutEnvelope(schema, value);
try {
return serializer.serialize(topic, jsonValue);
} catch (SerializationException e) {
throw new DataException("Converting Kafka Connect data to byte[] failed due to serialization error: ", e);
}
}
@Override
public SchemaAndValue toConnectData(String topic, byte[] value) {
JsonNode jsonValue;
try {
jsonValue = deserializer.deserialize(topic, value);
} catch (SerializationException e) {
throw new DataException("Converting byte[] to Kafka Connect data failed due to serialization error: ", e);
}
if (enableSchemas && (jsonValue == null || !jsonValue.isObject() || jsonValue.size() != 2 || !jsonValue.has("schema") || !jsonValue.has("payload")))
throw new DataException("JsonConverter with schemas.enable requires \"schema\" and \"payload\" fields and may not contain additional fields." +
" If you are trying to deserialize plain JSON data, set schemas.enable=false in your converter configuration.");
// The deserialized data should either be an envelope object containing the schema and the payload or the schema
// was stripped during serialization and we need to fill in an all-encompassing schema.
if (!enableSchemas) {
ObjectNode envelope = JsonNodeFactory.instance.objectNode();
envelope.set("schema", null);
envelope.set("payload", jsonValue);
jsonValue = envelope;
}
return jsonToConnect(jsonValue);
}
private SchemaAndValue jsonToConnect(JsonNode jsonValue) {
if (jsonValue == null)
return SchemaAndValue.NULL;
if (!jsonValue.isObject() || jsonValue.size() != 2 || !jsonValue.has(JsonSchema.ENVELOPE_SCHEMA_FIELD_NAME) || !jsonValue.has(JsonSchema.ENVELOPE_PAYLOAD_FIELD_NAME))
throw new DataException("JSON value converted to Kafka Connect must be in envelope containing schema");
Schema schema = asConnectSchema(jsonValue.get(JsonSchema.ENVELOPE_SCHEMA_FIELD_NAME));
return new SchemaAndValue(schema, convertToConnect(schema, jsonValue.get(JsonSchema.ENVELOPE_PAYLOAD_FIELD_NAME)));
}
public ObjectNode asJsonSchema(Schema schema) {
if (schema == null)
return null;
ObjectNode cached = fromConnectSchemaCache.get(schema);
if (cached != null)
return cached;
final ObjectNode jsonSchema;
switch (schema.type()) {
case BOOLEAN:
jsonSchema = JsonSchema.BOOLEAN_SCHEMA.deepCopy();
break;
case BYTES:
jsonSchema = JsonSchema.BYTES_SCHEMA.deepCopy();
break;
case FLOAT64:
jsonSchema = JsonSchema.DOUBLE_SCHEMA.deepCopy();
break;
case FLOAT32:
jsonSchema = JsonSchema.FLOAT_SCHEMA.deepCopy();
break;
case INT8:
jsonSchema = JsonSchema.INT8_SCHEMA.deepCopy();
break;
case INT16:
jsonSchema = JsonSchema.INT16_SCHEMA.deepCopy();
break;
case INT32:
jsonSchema = JsonSchema.INT32_SCHEMA.deepCopy();
break;
case INT64:
jsonSchema = JsonSchema.INT64_SCHEMA.deepCopy();
break;
case STRING:
jsonSchema = JsonSchema.STRING_SCHEMA.deepCopy();
break;
case ARRAY:
jsonSchema = JsonNodeFactory.instance.objectNode().put(JsonSchema.SCHEMA_TYPE_FIELD_NAME, JsonSchema.ARRAY_TYPE_NAME);
jsonSchema.set(JsonSchema.ARRAY_ITEMS_FIELD_NAME, asJsonSchema(schema.valueSchema()));
break;
case MAP:
jsonSchema = JsonNodeFactory.instance.objectNode().put(JsonSchema.SCHEMA_TYPE_FIELD_NAME, JsonSchema.MAP_TYPE_NAME);
jsonSchema.set(JsonSchema.MAP_KEY_FIELD_NAME, asJsonSchema(schema.keySchema()));
jsonSchema.set(JsonSchema.MAP_VALUE_FIELD_NAME, asJsonSchema(schema.valueSchema()));
break;
case STRUCT:
jsonSchema = JsonNodeFactory.instance.objectNode().put(JsonSchema.SCHEMA_TYPE_FIELD_NAME, JsonSchema.STRUCT_TYPE_NAME);
ArrayNode fields = JsonNodeFactory.instance.arrayNode();
for (Field field : schema.fields()) {
ObjectNode fieldJsonSchema = asJsonSchema(field.schema()).deepCopy();
fieldJsonSchema.put(JsonSchema.STRUCT_FIELD_NAME_FIELD_NAME, field.name());
fields.add(fieldJsonSchema);
}
jsonSchema.set(JsonSchema.STRUCT_FIELDS_FIELD_NAME, fields);
break;
default:
throw new DataException("Couldn't translate unsupported schema type " + schema + ".");
}
jsonSchema.put(JsonSchema.SCHEMA_OPTIONAL_FIELD_NAME, schema.isOptional());
if (schema.name() != null)
jsonSchema.put(JsonSchema.SCHEMA_NAME_FIELD_NAME, schema.name());
if (schema.version() != null)
jsonSchema.put(JsonSchema.SCHEMA_VERSION_FIELD_NAME, schema.version());
if (schema.doc() != null)
jsonSchema.put(JsonSchema.SCHEMA_DOC_FIELD_NAME, schema.doc());
if (schema.parameters() != null) {
ObjectNode jsonSchemaParams = JsonNodeFactory.instance.objectNode();
for (Map.Entry<String, String> prop : schema.parameters().entrySet())
jsonSchemaParams.put(prop.getKey(), prop.getValue());
jsonSchema.set(JsonSchema.SCHEMA_PARAMETERS_FIELD_NAME, jsonSchemaParams);
}
if (schema.defaultValue() != null)
jsonSchema.set(JsonSchema.SCHEMA_DEFAULT_FIELD_NAME, convertToJson(schema, schema.defaultValue()));
fromConnectSchemaCache.put(schema, jsonSchema);
return jsonSchema;
}
public Schema asConnectSchema(JsonNode jsonSchema) {
if (jsonSchema.isNull())
return null;
Schema cached = toConnectSchemaCache.get(jsonSchema);
if (cached != null)
return cached;
JsonNode schemaTypeNode = jsonSchema.get(JsonSchema.SCHEMA_TYPE_FIELD_NAME);
if (schemaTypeNode == null || !schemaTypeNode.isTextual())
throw new DataException("Schema must contain 'type' field");
final SchemaBuilder builder;
switch (schemaTypeNode.textValue()) {
case JsonSchema.BOOLEAN_TYPE_NAME:
builder = SchemaBuilder.bool();
break;
case JsonSchema.INT8_TYPE_NAME:
builder = SchemaBuilder.int8();
break;
case JsonSchema.INT16_TYPE_NAME:
builder = SchemaBuilder.int16();
break;
case JsonSchema.INT32_TYPE_NAME:
builder = SchemaBuilder.int32();
break;
case JsonSchema.INT64_TYPE_NAME:
builder = SchemaBuilder.int64();
break;
case JsonSchema.FLOAT_TYPE_NAME:
builder = SchemaBuilder.float32();
break;
case JsonSchema.DOUBLE_TYPE_NAME:
builder = SchemaBuilder.float64();
break;
case JsonSchema.BYTES_TYPE_NAME:
builder = SchemaBuilder.bytes();
break;
case JsonSchema.STRING_TYPE_NAME:
builder = SchemaBuilder.string();
break;
case JsonSchema.ARRAY_TYPE_NAME:
JsonNode elemSchema = jsonSchema.get(JsonSchema.ARRAY_ITEMS_FIELD_NAME);
if (elemSchema == null)
throw new DataException("Array schema did not specify the element type");
builder = SchemaBuilder.array(asConnectSchema(elemSchema));
break;
case JsonSchema.MAP_TYPE_NAME:
JsonNode keySchema = jsonSchema.get(JsonSchema.MAP_KEY_FIELD_NAME);
if (keySchema == null)
throw new DataException("Map schema did not specify the key type");
JsonNode valueSchema = jsonSchema.get(JsonSchema.MAP_VALUE_FIELD_NAME);
if (valueSchema == null)
throw new DataException("Map schema did not specify the value type");
builder = SchemaBuilder.map(asConnectSchema(keySchema), asConnectSchema(valueSchema));
break;
case JsonSchema.STRUCT_TYPE_NAME:
builder = SchemaBuilder.struct();
JsonNode fields = jsonSchema.get(JsonSchema.STRUCT_FIELDS_FIELD_NAME);
if (fields == null || !fields.isArray())
throw new DataException("Struct schema's \"fields\" argument is not an array.");
for (JsonNode field : fields) {
JsonNode jsonFieldName = field.get(JsonSchema.STRUCT_FIELD_NAME_FIELD_NAME);
if (jsonFieldName == null || !jsonFieldName.isTextual())
throw new DataException("Struct schema's field name not specified properly");
builder.field(jsonFieldName.asText(), asConnectSchema(field));
}
break;
default:
throw new DataException("Unknown schema type: " + schemaTypeNode.textValue());
}
JsonNode schemaOptionalNode = jsonSchema.get(JsonSchema.SCHEMA_OPTIONAL_FIELD_NAME);
if (schemaOptionalNode != null && schemaOptionalNode.isBoolean() && schemaOptionalNode.booleanValue())
builder.optional();
else
builder.required();
JsonNode schemaNameNode = jsonSchema.get(JsonSchema.SCHEMA_NAME_FIELD_NAME);
if (schemaNameNode != null && schemaNameNode.isTextual())
builder.name(schemaNameNode.textValue());
JsonNode schemaVersionNode = jsonSchema.get(JsonSchema.SCHEMA_VERSION_FIELD_NAME);
if (schemaVersionNode != null && schemaVersionNode.isIntegralNumber()) {
builder.version(schemaVersionNode.intValue());
}
JsonNode schemaDocNode = jsonSchema.get(JsonSchema.SCHEMA_DOC_FIELD_NAME);
if (schemaDocNode != null && schemaDocNode.isTextual())
builder.doc(schemaDocNode.textValue());
JsonNode schemaParamsNode = jsonSchema.get(JsonSchema.SCHEMA_PARAMETERS_FIELD_NAME);
if (schemaParamsNode != null && schemaParamsNode.isObject()) {
Iterator<Map.Entry<String, JsonNode>> paramsIt = schemaParamsNode.fields();
while (paramsIt.hasNext()) {
Map.Entry<String, JsonNode> entry = paramsIt.next();
JsonNode paramValue = entry.getValue();
if (!paramValue.isTextual())
throw new DataException("Schema parameters must have string values.");
builder.parameter(entry.getKey(), paramValue.textValue());
}
}
JsonNode schemaDefaultNode = jsonSchema.get(JsonSchema.SCHEMA_DEFAULT_FIELD_NAME);
if (schemaDefaultNode != null)
builder.defaultValue(convertToConnect(builder, schemaDefaultNode));
Schema result = builder.build();
toConnectSchemaCache.put(jsonSchema, result);
return result;
}
/**
* Convert this object, in org.apache.kafka.connect.data format, into a JSON object with an envelope object
* containing schema and payload fields.
* @param schema the schema for the data
* @param value the value
* @return JsonNode-encoded version
*/
private JsonNode convertToJsonWithEnvelope(Schema schema, Object value) {
return new JsonSchema.Envelope(asJsonSchema(schema), convertToJson(schema, value)).toJsonNode();
}
private JsonNode convertToJsonWithoutEnvelope(Schema schema, Object value) {
return convertToJson(schema, value);
}
/**
* Convert this object, in the org.apache.kafka.connect.data format, into a JSON object, returning both the schema
* and the converted object.
*/
private static JsonNode convertToJson(Schema schema, Object logicalValue) {
if (logicalValue == null) {
if (schema == null) // Any schema is valid and we don't have a default, so treat this as an optional schema
return null;
if (schema.defaultValue() != null)
return convertToJson(schema, schema.defaultValue());
if (schema.isOptional())
return JsonNodeFactory.instance.nullNode();
throw new DataException("Conversion error: null value for field that is required and has no default value");
}
Object value = logicalValue;
if (schema != null && schema.name() != null) {
LogicalTypeConverter logicalConverter = TO_JSON_LOGICAL_CONVERTERS.get(schema.name());
if (logicalConverter != null)
value = logicalConverter.convert(schema, logicalValue);
}
try {
final Schema.Type schemaType;
if (schema == null) {
schemaType = ConnectSchema.schemaType(value.getClass());
if (schemaType == null)
throw new DataException("Java class " + value.getClass() + " does not have corresponding schema type.");
} else {
schemaType = schema.type();
}
switch (schemaType) {
case INT8:
return JsonNodeFactory.instance.numberNode((Byte) value);
case INT16:
return JsonNodeFactory.instance.numberNode((Short) value);
case INT32:
return JsonNodeFactory.instance.numberNode((Integer) value);
case INT64:
return JsonNodeFactory.instance.numberNode((Long) value);
case FLOAT32:
return JsonNodeFactory.instance.numberNode((Float) value);
case FLOAT64:
return JsonNodeFactory.instance.numberNode((Double) value);
case BOOLEAN:
return JsonNodeFactory.instance.booleanNode((Boolean) value);
case STRING:
CharSequence charSeq = (CharSequence) value;
return JsonNodeFactory.instance.textNode(charSeq.toString());
case BYTES:
if (value instanceof byte[])
return JsonNodeFactory.instance.binaryNode((byte[]) value);
else if (value instanceof ByteBuffer)
return JsonNodeFactory.instance.binaryNode(((ByteBuffer) value).array());
else
throw new DataException("Invalid type for bytes type: " + value.getClass());
case ARRAY: {
Collection collection = (Collection) value;
ArrayNode list = JsonNodeFactory.instance.arrayNode();
for (Object elem : collection) {
Schema valueSchema = schema == null ? null : schema.valueSchema();
JsonNode fieldValue = convertToJson(valueSchema, elem);
list.add(fieldValue);
}
return list;
}
case MAP: {
Map<?, ?> map = (Map<?, ?>) value;
// If true, using string keys and JSON object; if false, using non-string keys and Array-encoding
boolean objectMode;
if (schema == null) {
objectMode = true;
for (Map.Entry<?, ?> entry : map.entrySet()) {
if (!(entry.getKey() instanceof String)) {
objectMode = false;
break;
}
}
} else {
objectMode = schema.keySchema().type() == Schema.Type.STRING;
}
ObjectNode obj = null;
ArrayNode list = null;
if (objectMode)
obj = JsonNodeFactory.instance.objectNode();
else
list = JsonNodeFactory.instance.arrayNode();
for (Map.Entry<?, ?> entry : map.entrySet()) {
Schema keySchema = schema == null ? null : schema.keySchema();
Schema valueSchema = schema == null ? null : schema.valueSchema();
JsonNode mapKey = convertToJson(keySchema, entry.getKey());
JsonNode mapValue = convertToJson(valueSchema, entry.getValue());
if (objectMode)
obj.set(mapKey.asText(), mapValue);
else
list.add(JsonNodeFactory.instance.arrayNode().add(mapKey).add(mapValue));
}
return objectMode ? obj : list;
}
case STRUCT: {
Struct struct = (Struct) value;
if (struct.schema() != schema)
throw new DataException("Mismatching schema.");
ObjectNode obj = JsonNodeFactory.instance.objectNode();
for (Field field : schema.fields()) {
obj.set(field.name(), convertToJson(field.schema(), struct.get(field)));
}
return obj;
}
}
throw new DataException("Couldn't convert " + value + " to JSON.");
} catch (ClassCastException e) {
String schemaTypeStr = (schema != null) ? schema.type().toString() : "unknown schema";
throw new DataException("Invalid type for " + schemaTypeStr + ": " + value.getClass());
}
}
private static Object convertToConnect(Schema schema, JsonNode jsonValue) {
final Schema.Type schemaType;
if (schema != null) {
schemaType = schema.type();
if (jsonValue.isNull()) {
if (schema.defaultValue() != null)
return schema.defaultValue(); // any logical type conversions should already have been applied
if (schema.isOptional())
return null;
throw new DataException("Invalid null value for required " + schemaType + " field");
}
} else {
switch (jsonValue.getNodeType()) {
case NULL:
// Special case. With no schema
return null;
case BOOLEAN:
schemaType = Schema.Type.BOOLEAN;
break;
case NUMBER:
if (jsonValue.isIntegralNumber())
schemaType = Schema.Type.INT64;
else
schemaType = Schema.Type.FLOAT64;
break;
case ARRAY:
schemaType = Schema.Type.ARRAY;
break;
case OBJECT:
schemaType = Schema.Type.MAP;
break;
case STRING:
schemaType = Schema.Type.STRING;
break;
case BINARY:
case MISSING:
case POJO:
default:
schemaType = null;
break;
}
}
final JsonToConnectTypeConverter typeConverter = TO_CONNECT_CONVERTERS.get(schemaType);
if (typeConverter == null)
throw new DataException("Unknown schema type: " + String.valueOf(schemaType));
Object converted = typeConverter.convert(schema, jsonValue);
if (schema != null && schema.name() != null) {
LogicalTypeConverter logicalConverter = TO_CONNECT_LOGICAL_CONVERTERS.get(schema.name());
if (logicalConverter != null)
converted = logicalConverter.convert(schema, converted);
}
return converted;
}
private interface JsonToConnectTypeConverter {
Object convert(Schema schema, JsonNode value);
}
private interface LogicalTypeConverter {
Object convert(Schema schema, Object value);
}
}