/*
 * Copyright 2018 Confluent Inc.
 * Copyright 2020 Red Hat
 *
 * Licensed 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 io.apicurio.registry.utils.converter.avro;

import com.fasterxml.jackson.databind.JsonNode;
import com.fasterxml.jackson.databind.node.ArrayNode;
import com.fasterxml.jackson.databind.node.IntNode;
import com.fasterxml.jackson.databind.node.JsonNodeFactory;
import com.fasterxml.jackson.databind.node.ObjectNode;

import io.apicurio.registry.serde.avro.NonRecordContainer;

import org.apache.avro.JsonProperties;
import org.apache.avro.generic.GenericData;
import org.apache.avro.generic.GenericEnumSymbol;
import org.apache.avro.generic.GenericFixed;
import org.apache.avro.generic.GenericRecord;
import org.apache.avro.generic.GenericRecordBuilder;
import org.apache.avro.generic.IndexedRecord;
import org.apache.avro.util.internal.JacksonUtils;
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.connect.data.ConnectSchema;
import org.apache.kafka.connect.data.Date;
import org.apache.kafka.connect.data.Decimal;
import org.apache.kafka.connect.data.Field;
import org.apache.kafka.connect.data.Schema;
import org.apache.kafka.connect.data.SchemaAndValue;
import org.apache.kafka.connect.data.SchemaBuilder;
import org.apache.kafka.connect.data.Struct;
import org.apache.kafka.connect.data.Time;
import org.apache.kafka.connect.data.Timestamp;
import org.apache.kafka.connect.errors.DataException;

import java.io.IOException;
import java.math.BigDecimal;
import java.nio.ByteBuffer;
import java.nio.charset.StandardCharsets;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Collection;
import java.util.HashMap;
import java.util.HashSet;
import java.util.IdentityHashMap;
import java.util.Iterator;
import java.util.List;
import java.util.Map;
import java.util.Objects;
import java.util.Set;


/**
 * Utilities for converting between our runtime data format and Avro, and (de)serializing that data.
 */
@SuppressWarnings({"unused", "rawtypes", "unchecked"})
public class AvroData {

    public static final String NAMESPACE = "io.confluent.connect.avro";
    // Avro does not permit empty schema names, which might be the ideal default since we also are
    // not permitted to simply omit the name. Instead, make it very clear where the default is
    // coming from.
    public static final String DEFAULT_SCHEMA_NAME = "ConnectDefault";
    public static final String DEFAULT_SCHEMA_FULL_NAME = NAMESPACE + "." + DEFAULT_SCHEMA_NAME;
    public static final String MAP_ENTRY_TYPE_NAME = "MapEntry";
    public static final String KEY_FIELD = "key";
    public static final String VALUE_FIELD = "value";

    public static final String CONNECT_NAME_PROP = "connect.name";
    public static final String CONNECT_DOC_PROP = "connect.doc";
    public static final String CONNECT_RECORD_DOC_PROP = "connect.record.doc";
    public static final String CONNECT_ENUM_DOC_PROP = "connect.enum.doc";
    public static final String CONNECT_VERSION_PROP = "connect.version";
    public static final String CONNECT_DEFAULT_VALUE_PROP = "connect.default";
    public static final String CONNECT_PARAMETERS_PROP = "connect.parameters";
    public static final String CONNECT_INTERNAL_TYPE_NAME = "connect.internal.type";

    public static final String CONNECT_TYPE_PROP = "connect.type";

    public static final String CONNECT_TYPE_INT8 = "int8";
    public static final String CONNECT_TYPE_INT16 = "int16";

    public static final String AVRO_TYPE_UNION = NAMESPACE + ".Union";
    public static final String AVRO_TYPE_ENUM = NAMESPACE + ".Enum";

    public static final String AVRO_TYPE_ANYTHING = NAMESPACE + ".Anything";

    private static final Map<String, Schema.Type> NON_AVRO_TYPES_BY_TYPE_CODE = new HashMap<>();

    static {
        NON_AVRO_TYPES_BY_TYPE_CODE.put(CONNECT_TYPE_INT8, Schema.Type.INT8);
        NON_AVRO_TYPES_BY_TYPE_CODE.put(CONNECT_TYPE_INT16, Schema.Type.INT16);
    }

    // Avro Java object types used by Connect schema types
    private static final Map<Schema.Type, List<Class>> SIMPLE_AVRO_SCHEMA_TYPES = new HashMap<>();

    static {
        SIMPLE_AVRO_SCHEMA_TYPES.put(Schema.Type.INT32, Arrays.asList((Class) Integer.class));
        SIMPLE_AVRO_SCHEMA_TYPES.put(Schema.Type.INT64, Arrays.asList((Class) Long.class));
        SIMPLE_AVRO_SCHEMA_TYPES.put(Schema.Type.FLOAT32, Arrays.asList((Class) Float.class));
        SIMPLE_AVRO_SCHEMA_TYPES.put(Schema.Type.FLOAT64, Arrays.asList((Class) Double.class));
        SIMPLE_AVRO_SCHEMA_TYPES.put(Schema.Type.BOOLEAN, Arrays.asList((Class) Boolean.class));
        SIMPLE_AVRO_SCHEMA_TYPES.put(Schema.Type.STRING, Arrays.asList((Class) CharSequence.class));
        SIMPLE_AVRO_SCHEMA_TYPES.put(
            Schema.Type.BYTES,
            Arrays.asList((Class) ByteBuffer.class, (Class) byte[].class, (Class) GenericFixed.class));
        SIMPLE_AVRO_SCHEMA_TYPES.put(Schema.Type.ARRAY, Arrays.asList((Class) Collection.class));
        SIMPLE_AVRO_SCHEMA_TYPES.put(Schema.Type.MAP, Arrays.asList((Class) Map.class));
    }

    private static final Map<Schema.Type, org.apache.avro.Schema.Type> CONNECT_TYPES_TO_AVRO_TYPES
        = new HashMap<>();

    static {
        CONNECT_TYPES_TO_AVRO_TYPES.put(Schema.Type.INT32, org.apache.avro.Schema.Type.INT);
        CONNECT_TYPES_TO_AVRO_TYPES.put(Schema.Type.INT64, org.apache.avro.Schema.Type.LONG);
        CONNECT_TYPES_TO_AVRO_TYPES.put(Schema.Type.FLOAT32, org.apache.avro.Schema.Type.FLOAT);
        CONNECT_TYPES_TO_AVRO_TYPES.put(Schema.Type.FLOAT64, org.apache.avro.Schema.Type.DOUBLE);
        CONNECT_TYPES_TO_AVRO_TYPES.put(Schema.Type.BOOLEAN, org.apache.avro.Schema.Type.BOOLEAN);
        CONNECT_TYPES_TO_AVRO_TYPES.put(Schema.Type.STRING, org.apache.avro.Schema.Type.STRING);
        CONNECT_TYPES_TO_AVRO_TYPES.put(Schema.Type.BYTES, org.apache.avro.Schema.Type.BYTES);
        CONNECT_TYPES_TO_AVRO_TYPES.put(Schema.Type.ARRAY, org.apache.avro.Schema.Type.ARRAY);
        CONNECT_TYPES_TO_AVRO_TYPES.put(Schema.Type.MAP, org.apache.avro.Schema.Type.MAP);
    }


    private static final String ANYTHING_SCHEMA_BOOLEAN_FIELD = "boolean";
    private static final String ANYTHING_SCHEMA_BYTES_FIELD = "bytes";
    private static final String ANYTHING_SCHEMA_DOUBLE_FIELD = "double";
    private static final String ANYTHING_SCHEMA_FLOAT_FIELD = "float";
    private static final String ANYTHING_SCHEMA_INT_FIELD = "int";
    private static final String ANYTHING_SCHEMA_LONG_FIELD = "long";
    private static final String ANYTHING_SCHEMA_STRING_FIELD = "string";
    private static final String ANYTHING_SCHEMA_ARRAY_FIELD = "array";
    private static final String ANYTHING_SCHEMA_MAP_FIELD = "map";

    public static final org.apache.avro.Schema ANYTHING_SCHEMA_MAP_ELEMENT;
    public static final org.apache.avro.Schema ANYTHING_SCHEMA;

    private static final org.apache.avro.Schema
        NULL_AVRO_SCHEMA =
        org.apache.avro.Schema.create(org.apache.avro.Schema.Type.NULL);

    static {
        // Intuitively this should be a union schema. However, unions can't be named in Avro and this
        // is a self-referencing type, so we need to use a format in which we can name the entire schema

        ANYTHING_SCHEMA =
            org.apache.avro.SchemaBuilder.record(AVRO_TYPE_ANYTHING).namespace(NAMESPACE).fields()
                                         .optionalBoolean(ANYTHING_SCHEMA_BOOLEAN_FIELD)
                                         .optionalBytes(ANYTHING_SCHEMA_BYTES_FIELD)
                                         .optionalDouble(ANYTHING_SCHEMA_DOUBLE_FIELD)
                                         .optionalFloat(ANYTHING_SCHEMA_FLOAT_FIELD)
                                         .optionalInt(ANYTHING_SCHEMA_INT_FIELD)
                                         .optionalLong(ANYTHING_SCHEMA_LONG_FIELD)
                                         .optionalString(ANYTHING_SCHEMA_STRING_FIELD)
                                         .name(ANYTHING_SCHEMA_ARRAY_FIELD).type().optional().array()
                                         .items().type(AVRO_TYPE_ANYTHING)
                                         .name(ANYTHING_SCHEMA_MAP_FIELD).type().optional().array()
                                         .items().record(MAP_ENTRY_TYPE_NAME).namespace(NAMESPACE).fields()
                                         .name(KEY_FIELD).type(AVRO_TYPE_ANYTHING).noDefault()
                                         .name(VALUE_FIELD).type(AVRO_TYPE_ANYTHING).noDefault()
                                         .endRecord()
                                         .endRecord();
        // This is convenient to have extracted; we can't define it before ANYTHING_SCHEMA because it
        // uses ANYTHING_SCHEMA in its definition.
        ANYTHING_SCHEMA_MAP_ELEMENT = ANYTHING_SCHEMA.getField("map").schema()
                                                     .getTypes().get(1) // The "map" field is optional, get the schema from the union type
                                                     .getElementType();
    }


    // Convert values in 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[]) {
                    return Decimal.toLogical(schema, (byte[]) value);
                } else if (value instanceof ByteBuffer) {
                    return Decimal.toLogical(schema, ((ByteBuffer) value).array());
                }
                throw new DataException(
                    "Invalid type for Decimal, underlying representation should be bytes but was "
                    + value.getClass());
            }
        });

        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);
            }
        });
    }

    static final String AVRO_PROP = "avro";
    static final String AVRO_LOGICAL_TYPE_PROP = "logicalType";
    static final String AVRO_LOGICAL_TIMESTAMP_MILLIS = "timestamp-millis";
    static final String AVRO_LOGICAL_TIME_MILLIS = "time-millis";
    static final String AVRO_LOGICAL_DATE = "date";
    static final String AVRO_LOGICAL_DECIMAL = "decimal";
    static final String AVRO_LOGICAL_DECIMAL_SCALE_PROP = "scale";
    static final String AVRO_LOGICAL_DECIMAL_PRECISION_PROP = "precision";
    static final String CONNECT_AVRO_DECIMAL_PRECISION_PROP = "connect.decimal.precision";
    static final Integer CONNECT_AVRO_DECIMAL_PRECISION_DEFAULT = 64;

    private static final HashMap<String, LogicalTypeConverter> TO_AVRO_LOGICAL_CONVERTERS
        = new HashMap<>();

    static {
        TO_AVRO_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_AVRO_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_AVRO_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_AVRO_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 Cache<Schema, org.apache.avro.Schema> fromConnectSchemaCache;
    private Cache<AvroSchemaAndVersion, Schema> toConnectSchemaCache;
    private boolean connectMetaData;
    private boolean enhancedSchemaSupport;

    private static class AvroSchemaAndVersion {
        private org.apache.avro.Schema schema;
        private Integer version;

        public AvroSchemaAndVersion(org.apache.avro.Schema schema, Integer version) {
            this.schema = schema;
            this.version = version;
        }

        public org.apache.avro.Schema schema() {
            return schema;
        }

        public Integer version() {
            return version;
        }

        @Override
        public boolean equals(Object o) {
            if (this == o) {
                return true;
            }
            if (o == null || getClass() != o.getClass()) {
                return false;
            }
            AvroSchemaAndVersion that = (AvroSchemaAndVersion) o;
            return Objects.equals(schema, that.schema) && Objects.equals(version, that.version);
        }

        @Override
        public int hashCode() {
            return Objects.hash(schema, version);
        }
    }


    public AvroData(int cacheSize) {
        this(new AvroDataConfig.Builder()
                 .with(AvroDataConfig.SCHEMAS_CACHE_SIZE_CONFIG, cacheSize)
                 .build());
    }

    public AvroData(AvroDataConfig avroDataConfig) {
        fromConnectSchemaCache =
            new SynchronizedCache<>(new LRUCache<>(
                avroDataConfig.getSchemasCacheSize()));
        toConnectSchemaCache =
            new SynchronizedCache<>(new LRUCache<>(
                avroDataConfig.getSchemasCacheSize()));
        this.connectMetaData = avroDataConfig.isConnectMetaData();
        this.enhancedSchemaSupport = avroDataConfig.isEnhancedAvroSchemaSupport();
    }

    /**
     * Convert this object, in Connect data format, into an Avro object.
     */
    public Object fromConnectData(Schema schema, Object value) {
        org.apache.avro.Schema avroSchema = fromConnectSchema(schema);
        return fromConnectData(schema, avroSchema, value, true, false, enhancedSchemaSupport);
    }

    /**
     * Convert from Connect data format to Avro. This version assumes the Avro schema has already
     * been converted and makes the use of NonRecordContainer optional
     *
     * @param schema                         the Connect schema
     * @param avroSchema                     the corresponding
     * @param logicalValue                   the Connect data to convert, which may be a value for
     *                                       a logical type
     * @param requireContainer               if true, wrap primitives, maps, and arrays in a
     *                                       NonRecordContainer before returning them
     * @param requireSchemalessContainerNull if true, use a container representation of null because
     *                                       this is part of struct/array/map and we cannot represent
     *                                       nulls as true null because Anything cannot be a union
     *                                       type; otherwise, this is a top-level value and can return
     *                                       null
     * @return the converted data
     */
    @SuppressWarnings("unused")
    private static Object fromConnectData(
        Schema schema, org.apache.avro.Schema avroSchema,
        Object logicalValue, boolean requireContainer,
        boolean requireSchemalessContainerNull, boolean enhancedSchemaSupport
    ) {
        Schema.Type schemaType = schema != null
                                 ? schema.type()
                                 : schemaTypeForSchemalessJavaType(logicalValue);
        if (schemaType == null) {
            // Schemaless null data since schema is null and we got a null schema type from the value
            if (requireSchemalessContainerNull) {
                return new GenericRecordBuilder(ANYTHING_SCHEMA).build();
            } else {
                return null;
            }
        }

        validateSchemaValue(schema, logicalValue);

        if (logicalValue == null) {
            // But if this is schemaless, we may not be able to return null directly
            if (schema == null && requireSchemalessContainerNull) {
                return new GenericRecordBuilder(ANYTHING_SCHEMA).build();
            } else {
                return null;
            }
        }

        // If this is a logical type, convert it from the convenient Java type to the underlying
        // serializeable format
        Object value = logicalValue;
        if (schema != null && schema.name() != null) {
            LogicalTypeConverter logicalConverter = TO_AVRO_LOGICAL_CONVERTERS.get(schema.name());
            if (logicalConverter != null && logicalValue != null) {
                value = logicalConverter.convert(schema, logicalValue);
            }
        }

        try {
            switch (schemaType) {
                case INT8: {
                    Byte byteValue = (Byte) value; // Check for correct type
                    Integer convertedByteValue = byteValue == null ? null : byteValue.intValue();
                    return maybeAddContainer(
                        avroSchema,
                        maybeWrapSchemaless(schema, convertedByteValue, ANYTHING_SCHEMA_INT_FIELD),
                        requireContainer);
                }
                case INT16: {
                    Short shortValue = (Short) value; // Check for correct type
                    Integer convertedShortValue = shortValue == null ? null : shortValue.intValue();
                    return maybeAddContainer(
                        avroSchema,
                        maybeWrapSchemaless(schema, convertedShortValue, ANYTHING_SCHEMA_INT_FIELD),
                        requireContainer);
                }

                case INT32:
                    Integer intValue = (Integer) value; // Check for correct type
                    return maybeAddContainer(
                        avroSchema,
                        maybeWrapSchemaless(schema, value, ANYTHING_SCHEMA_INT_FIELD),
                        requireContainer);
                case INT64:
                    Long longValue = (Long) value; // Check for correct type
                    return maybeAddContainer(
                        avroSchema,
                        maybeWrapSchemaless(schema, value, ANYTHING_SCHEMA_LONG_FIELD),
                        requireContainer);
                case FLOAT32:
                    Float floatValue = (Float) value; // Check for correct type
                    return maybeAddContainer(
                        avroSchema,
                        maybeWrapSchemaless(schema, value, ANYTHING_SCHEMA_FLOAT_FIELD),
                        requireContainer);
                case FLOAT64:
                    Double doubleValue = (Double) value; // Check for correct type
                    return maybeAddContainer(
                        avroSchema,
                        maybeWrapSchemaless(schema, value, ANYTHING_SCHEMA_DOUBLE_FIELD),
                        requireContainer);
                case BOOLEAN:
                    Boolean boolValue = (Boolean) value; // Check for correct type
                    return maybeAddContainer(
                        avroSchema,
                        maybeWrapSchemaless(schema, value, ANYTHING_SCHEMA_BOOLEAN_FIELD),
                        requireContainer);
                case STRING:
                    if (enhancedSchemaSupport && schema != null && schema.parameters() != null
                        && schema.parameters().containsKey(AVRO_TYPE_ENUM)) {
                        String enumSchemaName = schema.parameters().get(AVRO_TYPE_ENUM);
                        org.apache.avro.Schema enumSchema;
                        if (avroSchema.getType() == org.apache.avro.Schema.Type.UNION) {
                            int enumIndex = avroSchema.getIndexNamed(enumSchemaName);
                            enumSchema = avroSchema.getTypes().get(enumIndex);
                        } else {
                            enumSchema = avroSchema;
                        }
                        value = new GenericData.EnumSymbol(enumSchema, (String) value);
                    } else {
                        String stringValue = (String) value; // Check for correct type
                    }
                    return maybeAddContainer(
                        avroSchema,
                        maybeWrapSchemaless(schema, value, ANYTHING_SCHEMA_STRING_FIELD),
                        requireContainer);

                case BYTES: {
                    ByteBuffer bytesValue = value instanceof byte[] ? ByteBuffer.wrap((byte[]) value) :
                                            (ByteBuffer) value;
                    return maybeAddContainer(
                        avroSchema,
                        maybeWrapSchemaless(schema, bytesValue, ANYTHING_SCHEMA_BYTES_FIELD),
                        requireContainer);
                }

                case ARRAY: {
                    Collection<Object> list = (Collection<Object>) value;
                    // TODO most types don't need a new converted object since types pass through
                    List<Object> converted = new ArrayList<>(list.size());
                    Schema elementSchema = schema != null ? schema.valueSchema() : null;
                    org.apache.avro.Schema underlyingAvroSchema = avroSchemaForUnderlyingTypeIfOptional(
                        schema, avroSchema);
                    org.apache.avro.Schema elementAvroSchema =
                        schema != null ? underlyingAvroSchema.getElementType() : ANYTHING_SCHEMA;
                    for (Object val : list) {
                        converted.add(
                            fromConnectData(
                                elementSchema,
                                elementAvroSchema,
                                val,
                                false,
                                true,
                                enhancedSchemaSupport
                            )
                        );
                    }
                    return maybeAddContainer(
                        avroSchema,
                        maybeWrapSchemaless(schema, converted, ANYTHING_SCHEMA_ARRAY_FIELD),
                        requireContainer);
                }

                case MAP: {
                    Map<Object, Object> map = (Map<Object, Object>) value;
                    org.apache.avro.Schema underlyingAvroSchema;
                    if (schema != null && schema.keySchema().type() == Schema.Type.STRING
                        && !schema.keySchema().isOptional()) {

                        // TODO most types don't need a new converted object since types pass through
                        underlyingAvroSchema = avroSchemaForUnderlyingTypeIfOptional(schema, avroSchema);
                        Map<String, Object> converted = new HashMap<>();
                        for (Map.Entry<Object, Object> entry : map.entrySet()) {
                            // Key is a String, no conversion needed
                            Object convertedValue = fromConnectData(schema.valueSchema(),
                                                                    underlyingAvroSchema.getValueType(),
                                                                    entry.getValue(), false, true, enhancedSchemaSupport
                            );
                            converted.put((String) entry.getKey(), convertedValue);
                        }
                        return maybeAddContainer(avroSchema, converted, requireContainer);
                    } else {
                        List<GenericRecord> converted = new ArrayList<>(map.size());
                        underlyingAvroSchema = avroSchemaForUnderlyingMapEntryType(schema, avroSchema);
                        org.apache.avro.Schema elementSchema =
                            schema != null
                            ? underlyingAvroSchema.getElementType()
                            : ANYTHING_SCHEMA_MAP_ELEMENT;
                        org.apache.avro.Schema avroKeySchema = elementSchema.getField(KEY_FIELD).schema();
                        org.apache.avro.Schema avroValueSchema = elementSchema.getField(VALUE_FIELD).schema();
                        for (Map.Entry<Object, Object> entry : map.entrySet()) {
                            Object keyConverted = fromConnectData(schema != null ? schema.keySchema() : null,
                                                                  avroKeySchema, entry.getKey(), false, true,
                                                                  enhancedSchemaSupport);
                            Object valueConverted = fromConnectData(schema != null ? schema.valueSchema() : null,
                                                                    avroValueSchema, entry.getValue(), false,
                                                                    true, enhancedSchemaSupport);
                            converted.add(
                                new GenericRecordBuilder(elementSchema)
                                    .set(KEY_FIELD, keyConverted)
                                    .set(VALUE_FIELD, valueConverted)
                                    .build()
                            );
                        }
                        return maybeAddContainer(
                            avroSchema, maybeWrapSchemaless(schema, converted, ANYTHING_SCHEMA_MAP_FIELD),
                            requireContainer);
                    }
                }

                case STRUCT: {
                    Struct struct = (Struct) value;
                    if (!struct.schema().equals(schema)) {
                        throw new DataException("Mismatching struct schema");
                    }
                    //This handles the inverting of a union which is held as a struct, where each field is
                    // one of the union types.
                    if (AVRO_TYPE_UNION.equals(schema.name())) {
                        for (Field field : schema.fields()) {
                            Object object = struct.get(field);
                            if (object != null) {
                                return fromConnectData(
                                    field.schema(),
                                    avroSchema,
                                    object,
                                    false,
                                    true,
                                    enhancedSchemaSupport
                                );
                            }
                        }
                        return fromConnectData(schema, avroSchema, null, false, true, enhancedSchemaSupport);
                    } else {
                        org.apache.avro.Schema underlyingAvroSchema = avroSchemaForUnderlyingTypeIfOptional(
                            schema, avroSchema);
                        GenericRecordBuilder convertedBuilder = new GenericRecordBuilder(underlyingAvroSchema);
                        for (Field field : schema.fields()) {
                            org.apache.avro.Schema.Field theField = underlyingAvroSchema.getField(field.name());
                            org.apache.avro.Schema fieldAvroSchema = theField.schema();
                            convertedBuilder.set(
                                field.name(),
                                fromConnectData(field.schema(), fieldAvroSchema, struct.get(field), false,
                                                true, enhancedSchemaSupport)
                            );
                        }
                        return convertedBuilder.build();
                    }
                }

                default:
                    throw new DataException("Unknown schema type: " + schema.type());
            }
        } catch (ClassCastException e) {
            throw new DataException("Invalid type for " + schema.type() + ": " + value.getClass());
        }
    }

    /**
     * MapEntry types in connect Schemas are represented as Arrays of record.
     * Return the array type from the union instead of the union itself.
     */
    private static org.apache.avro.Schema avroSchemaForUnderlyingMapEntryType(
        Schema schema,
        org.apache.avro.Schema avroSchema) {

        if (schema != null && schema.isOptional()) {
            if (avroSchema.getType() == org.apache.avro.Schema.Type.UNION) {
                for (org.apache.avro.Schema typeSchema : avroSchema.getTypes()) {
                    if (!typeSchema.getType().equals(org.apache.avro.Schema.Type.NULL)
                        && Schema.Type.ARRAY.getName().equals(typeSchema.getType().getName())) {
                        return typeSchema;
                    }
                }
            } else {
                throw new DataException(
                    "An optional schema should have an Avro Union type, not "
                    + schema.type());
            }
        }
        return avroSchema;
    }

    private static boolean crossReferenceSchemaNames(final Schema schema,
                                                     final org.apache.avro.Schema avroSchema) {
        return Objects.equals(avroSchema.getFullName(), schema.name())
               || Objects.equals(avroSchema.getType().getName(), schema.type().getName())
               || (schema.name() == null && avroSchema.getFullName().equals(DEFAULT_SCHEMA_FULL_NAME));
    }

    /**
     * Connect optional fields are represented as a unions (null & type) in Avro
     * Return the Avro schema of the actual type in the Union (instead of the union itself)
     */
    private static org.apache.avro.Schema avroSchemaForUnderlyingTypeIfOptional(
        Schema schema, org.apache.avro.Schema avroSchema) {

        if (schema != null && schema.isOptional()) {
            if (avroSchema.getType() == org.apache.avro.Schema.Type.UNION) {
                for (org.apache.avro.Schema typeSchema : avroSchema
                    .getTypes()) {
                    if (!typeSchema.getType().equals(org.apache.avro.Schema.Type.NULL)
                        && crossReferenceSchemaNames(schema, typeSchema)) {
                        return typeSchema;
                    }
                }
            } else {
                throw new DataException(
                    "An optinal schema should have an Avro Union type, not "
                    + schema.type());
            }
        }
        return avroSchema;
    }

    private static Schema.Type schemaTypeForSchemalessJavaType(Object value) {
        if (value == null) {
            return null;
        } else if (value instanceof Byte) {
            return Schema.Type.INT8;
        } else if (value instanceof Short) {
            return Schema.Type.INT16;
        } else if (value instanceof Integer) {
            return Schema.Type.INT32;
        } else if (value instanceof Long) {
            return Schema.Type.INT64;
        } else if (value instanceof Float) {
            return Schema.Type.FLOAT32;
        } else if (value instanceof Double) {
            return Schema.Type.FLOAT64;
        } else if (value instanceof Boolean) {
            return Schema.Type.BOOLEAN;
        } else if (value instanceof String) {
            return Schema.Type.STRING;
        } else if (value instanceof Collection) {
            return Schema.Type.ARRAY;
        } else if (value instanceof Map) {
            return Schema.Type.MAP;
        } else {
            throw new DataException("Unknown Java type for schemaless data: " + value.getClass());
        }
    }

    private static Object maybeAddContainer(org.apache.avro.Schema avroSchema, Object value, boolean wrap) {
        return wrap ? new NonRecordContainer(avroSchema, value) : value;
    }

    private static Object maybeWrapSchemaless(Schema schema, Object value, String typeField) {
        if (schema != null) {
            return value;
        }

        GenericRecordBuilder builder = new GenericRecordBuilder(ANYTHING_SCHEMA);
        if (value != null) {
            builder.set(typeField, value);
        }
        return builder.build();
    }

    public org.apache.avro.Schema fromConnectSchema(Schema schema) {
        return fromConnectSchema(schema, new HashMap<Schema, org.apache.avro.Schema>());
    }

    public org.apache.avro.Schema fromConnectSchema(Schema schema,
                                                    Map<Schema, org.apache.avro.Schema> schemaMap) {
        FromConnectContext fromConnectContext = new FromConnectContext(schemaMap);
        return fromConnectSchema(schema, fromConnectContext, false);
    }

    /**
     * SchemaMap is a map of already resolved internal schemas, this avoids type re-declaration if a
     * type is reused, this actually blows up if you don't do this and have a type used in multiple
     * places.
     *
     * <p>Also it only holds reference the non-optional schemas as technically an optional is
     * actually a union of null and the non-opitonal, which if used in multiple places some optional
     * some non-optional will cause error as you redefine type.
     *
     * <p>This is different to the global schema cache which is used to hold/cache fully resolved
     * schemas used to avoid re-resolving when presented with the same source schema.
     */
    public org.apache.avro.Schema fromConnectSchema(Schema schema,
                                                    FromConnectContext fromConnectContext,
                                                    boolean ignoreOptional) {
        if (schema == null) {
            return ANYTHING_SCHEMA;
        }

        org.apache.avro.Schema cached = fromConnectSchemaCache.get(schema);

        if (cached == null && !AVRO_TYPE_UNION.equals(schema.name()) && !schema.isOptional()) {
            cached = fromConnectContext.schemaMap.get(schema);
        }
        if (cached != null) {
            return cached;
        }

        String namespace = NAMESPACE;
        String name = DEFAULT_SCHEMA_NAME;
        if (schema.name() != null) {
            String[] split = splitName(schema.name());
            namespace = split[0];
            name = split[1];
        }

        // Extra type annotation information for otherwise lossy conversions
        String connectType = null;

        final org.apache.avro.Schema baseSchema;
        switch (schema.type()) {
            case INT8:
                connectType = CONNECT_TYPE_INT8;
                baseSchema = org.apache.avro.SchemaBuilder.builder().intType();
                break;
            case INT16:
                connectType = CONNECT_TYPE_INT16;
                baseSchema = org.apache.avro.SchemaBuilder.builder().intType();
                break;
            case INT32:
                baseSchema = org.apache.avro.SchemaBuilder.builder().intType();
                break;
            case INT64:
                baseSchema = org.apache.avro.SchemaBuilder.builder().longType();
                break;
            case FLOAT32:
                baseSchema = org.apache.avro.SchemaBuilder.builder().floatType();
                break;
            case FLOAT64:
                baseSchema = org.apache.avro.SchemaBuilder.builder().doubleType();
                break;
            case BOOLEAN:
                baseSchema = org.apache.avro.SchemaBuilder.builder().booleanType();
                break;
            case STRING:
                if (enhancedSchemaSupport && schema.parameters() != null
                    && schema.parameters().containsKey(AVRO_TYPE_ENUM)) {
                    List<String> symbols = new ArrayList<>();
                    for (Map.Entry<String, String> entry : schema.parameters().entrySet()) {
                        if (entry.getKey().startsWith(AVRO_TYPE_ENUM + ".")) {
                            symbols.add(entry.getValue());
                        }
                    }
                    baseSchema =
                        org.apache.avro.SchemaBuilder.builder().enumeration(
                            schema.parameters().get(AVRO_TYPE_ENUM))
                                                     .doc(schema.parameters().get(CONNECT_ENUM_DOC_PROP))
                                                     .symbols(symbols.toArray(new String[symbols.size()]));
                } else {
                    baseSchema = org.apache.avro.SchemaBuilder.builder().stringType();
                }
                break;
            case BYTES:
                baseSchema = org.apache.avro.SchemaBuilder.builder().bytesType();
                if (Decimal.LOGICAL_NAME.equalsIgnoreCase(schema.name())) {
                    int scale = Integer.parseInt(schema.parameters().get(Decimal.SCALE_FIELD));
                    baseSchema.addProp(AVRO_LOGICAL_DECIMAL_SCALE_PROP, new IntNode(scale));
                    if (schema.parameters().containsKey(CONNECT_AVRO_DECIMAL_PRECISION_PROP)) {
                        String precisionValue = schema.parameters().get(CONNECT_AVRO_DECIMAL_PRECISION_PROP);
                        int precision = Integer.parseInt(precisionValue);
                        baseSchema.addProp(AVRO_LOGICAL_DECIMAL_PRECISION_PROP, new IntNode(precision));
                    } else {
                        baseSchema
                            .addProp(AVRO_LOGICAL_DECIMAL_PRECISION_PROP,
                                     new IntNode(CONNECT_AVRO_DECIMAL_PRECISION_DEFAULT));
                    }
                }
                break;
            case ARRAY:
                baseSchema = org.apache.avro.SchemaBuilder.builder().array()
                                                          .items(fromConnectSchemaWithCycle(schema.valueSchema(), fromConnectContext, false));
                break;
            case MAP:
                // Avro only supports string keys, so we match the representation when possible, but
                // otherwise fall back on a record representation
                if (schema.keySchema().type() == Schema.Type.STRING && !schema.keySchema().isOptional()) {
                    baseSchema = org.apache.avro.SchemaBuilder.builder().map().values(
                        fromConnectSchemaWithCycle(schema.valueSchema(), fromConnectContext, false));
                } else {
                    // Special record name indicates format
                    List<org.apache.avro.Schema.Field> fields = new ArrayList<>();
                    final org.apache.avro.Schema mapSchema;
                    if (schema.name() == null) {
                        mapSchema = org.apache.avro.Schema.createRecord(
                            MAP_ENTRY_TYPE_NAME,
                            null,
                            namespace,
                            false
                        );
                    } else {
                        mapSchema = org.apache.avro.Schema.createRecord(name, null, namespace, false);
                        mapSchema.addProp(CONNECT_INTERNAL_TYPE_NAME, MAP_ENTRY_TYPE_NAME);
                    }
                    addAvroRecordField(
                        fields,
                        KEY_FIELD,
                        schema.keySchema(),
                        fromConnectContext);
                    addAvroRecordField(
                        fields,
                        VALUE_FIELD,
                        schema.valueSchema(),
                        fromConnectContext);
                    mapSchema.setFields(fields);
                    baseSchema = org.apache.avro.Schema.createArray(mapSchema);
                }
                break;
            case STRUCT:
                if (AVRO_TYPE_UNION.equals(schema.name())) {
                    List<org.apache.avro.Schema> unionSchemas = new ArrayList<>();
                    if (schema.isOptional()) {
                        unionSchemas.add(org.apache.avro.SchemaBuilder.builder().nullType());
                    }
                    for (Field field : schema.fields()) {
                        unionSchemas.add(
                            fromConnectSchemaWithCycle(nonOptional(field.schema()), fromConnectContext, true));
                    }
                    baseSchema = org.apache.avro.Schema.createUnion(unionSchemas);
                } else if (schema.isOptional()) {
                    List<org.apache.avro.Schema> unionSchemas = new ArrayList<>();
                    unionSchemas.add(org.apache.avro.SchemaBuilder.builder().nullType());
                    unionSchemas.add(
                        fromConnectSchemaWithCycle(nonOptional(schema), fromConnectContext, false));
                    baseSchema = org.apache.avro.Schema.createUnion(unionSchemas);
                } else {
                    String doc = schema.parameters() != null
                                 ? schema.parameters().get(CONNECT_RECORD_DOC_PROP)
                                 : null;
                    baseSchema = org.apache.avro.Schema.createRecord(
                        name != null ? name : DEFAULT_SCHEMA_NAME, doc, namespace, false);
                    if (schema.name() != null) {
                        fromConnectContext.cycleReferences.put(schema.name(), baseSchema);
                    }
                    List<org.apache.avro.Schema.Field> fields = new ArrayList<>();
                    for (Field field : schema.fields()) {
                        addAvroRecordField(fields, field.name(), field.schema(), fromConnectContext);
                    }
                    baseSchema.setFields(fields);
                }
                break;
            default:
                throw new DataException("Unknown schema type: " + schema.type());
        }

        org.apache.avro.Schema finalSchema = baseSchema;
        if (!baseSchema.getType().equals(org.apache.avro.Schema.Type.UNION)) {
            if (connectMetaData) {
                if (schema.doc() != null) {
                    baseSchema.addProp(CONNECT_DOC_PROP, schema.doc());
                }
                if (schema.version() != null) {
                    baseSchema.addProp(CONNECT_VERSION_PROP,
                                       JsonNodeFactory.instance.numberNode(schema.version()));
                }
                if (schema.parameters() != null) {
                    baseSchema.addProp(CONNECT_PARAMETERS_PROP, parametersFromConnect(schema.parameters()));
                }
                if (schema.defaultValue() != null) {
                    baseSchema.addProp(CONNECT_DEFAULT_VALUE_PROP,
                                       defaultValueFromConnect(schema, schema.defaultValue()));
                }
                if (schema.name() != null) {
                    baseSchema.addProp(CONNECT_NAME_PROP, schema.name());
                }
                // Some Connect types need special annotations to preserve the types accurate due to
                // limitations in Avro. These types get an extra annotation with their Connect type
                if (connectType != null) {
                    baseSchema.addProp(CONNECT_TYPE_PROP, connectType);
                }
            }

            // the new and correct way to handle logical types
            if (schema.name() != null) {
                if (Decimal.LOGICAL_NAME.equalsIgnoreCase(schema.name())) {
                    String precisionString = schema.parameters().get(CONNECT_AVRO_DECIMAL_PRECISION_PROP);
                    String scaleString = schema.parameters().get(Decimal.SCALE_FIELD);
                    int precision = precisionString == null ? CONNECT_AVRO_DECIMAL_PRECISION_DEFAULT :
                                    Integer.parseInt(precisionString);
                    int scale = scaleString == null ? 0 : Integer.parseInt(scaleString);
                    org.apache.avro.LogicalTypes.decimal(precision, scale).addToSchema(baseSchema);
                } else if (Time.LOGICAL_NAME.equalsIgnoreCase(schema.name())) {
                    org.apache.avro.LogicalTypes.timeMillis().addToSchema(baseSchema);
                } else if (Timestamp.LOGICAL_NAME.equalsIgnoreCase(schema.name())) {
                    org.apache.avro.LogicalTypes.timestampMillis().addToSchema(baseSchema);
                } else if (Date.LOGICAL_NAME.equalsIgnoreCase(schema.name())) {
                    org.apache.avro.LogicalTypes.date().addToSchema(baseSchema);
                }
            }

            // Initially, to add support for logical types a new property was added
            // with key `logicalType`. This enabled logical types for avro schemas but not others,
            // such as parquet. The use of 'addToSchema` above supersedes this method here,
            //  which should eventually be removed.
            // Keeping for backwards compatibility until a major version upgrade happens.

            // Below follows the older method of supporting logical types via properties.
            // It is retained for now and will be deprecated eventually.
            // Only Avro named types (record, enum, fixed) may contain namespace + name. Only Connect's
            // struct converts to one of those (record), so for everything else that has a name we store
            // the full name into a special property. For uniformity, we also duplicate this info into
            // the same field in records as well even though it will also be available in the namespace()
            // and name().
            if (schema.name() != null) {
                if (Decimal.LOGICAL_NAME.equalsIgnoreCase(schema.name())
                    && schema.parameters().containsKey(CONNECT_AVRO_DECIMAL_PRECISION_PROP)) {
                    baseSchema.addProp(AVRO_LOGICAL_TYPE_PROP, AVRO_LOGICAL_DECIMAL);
                } else if (Time.LOGICAL_NAME.equalsIgnoreCase(schema.name())) {
                    baseSchema.addProp(AVRO_LOGICAL_TYPE_PROP, AVRO_LOGICAL_TIME_MILLIS);
                } else if (Timestamp.LOGICAL_NAME.equalsIgnoreCase(schema.name())) {
                    baseSchema.addProp(AVRO_LOGICAL_TYPE_PROP, AVRO_LOGICAL_TIMESTAMP_MILLIS);
                } else if (Date.LOGICAL_NAME.equalsIgnoreCase(schema.name())) {
                    baseSchema.addProp(AVRO_LOGICAL_TYPE_PROP, AVRO_LOGICAL_DATE);
                }
            }

            if (schema.parameters() != null) {
                for (Map.Entry<String, String> entry : schema.parameters().entrySet()) {
                    if (entry.getKey().startsWith(AVRO_PROP)) {
                        baseSchema.addProp(entry.getKey(), entry.getValue());
                    }
                }
            }

            // Note that all metadata has already been processed and placed on the baseSchema because we
            // can't store any metadata on the actual top-level schema when it's a union because of Avro
            // constraints on the format of schemas.
            if (!ignoreOptional) {
                if (schema.isOptional()) {
                    if (schema.defaultValue() != null) {
                        finalSchema = org.apache.avro.SchemaBuilder.builder().unionOf()
                                                                   .type(baseSchema).and()
                                                                   .nullType()
                                                                   .endUnion();
                    } else {
                        finalSchema = org.apache.avro.SchemaBuilder.builder().unionOf()
                                                                   .nullType().and()
                                                                   .type(baseSchema)
                                                                   .endUnion();
                    }
                }
            }
        }

        if (!schema.isOptional()) {
            fromConnectContext.schemaMap.put(schema, finalSchema);
        }
        fromConnectSchemaCache.put(schema, finalSchema);
        return finalSchema;
    }

    public org.apache.avro.Schema fromConnectSchemaWithCycle(
        Schema schema,
        FromConnectContext fromConnectContext, boolean ignoreOptional) {
        org.apache.avro.Schema resolvedSchema;
        if (fromConnectContext.cycleReferences.containsKey(schema.name())) {
            resolvedSchema = fromConnectContext.cycleReferences.get(schema.name());
        } else {
            resolvedSchema = fromConnectSchema(schema, fromConnectContext, ignoreOptional);
        }
        return resolvedSchema;
    }

    private void addAvroRecordField(
        List<org.apache.avro.Schema.Field> fields,
        String fieldName, Schema fieldSchema,
        FromConnectContext fromConnectContext) {

        Object defaultVal = null;
        if (fieldSchema.defaultValue() != null) {
            defaultVal = fieldSchema.defaultValue();

            // If this is a logical, convert to the primitive form for the Avro default value
            defaultVal = toAvroLogical(fieldSchema, defaultVal);

            // Avro doesn't handle a few types that Connect uses, so convert those explicitly here
            if (defaultVal instanceof Byte) {
                // byte are mapped to integers in Avro
                defaultVal = ((Byte) defaultVal).intValue();
            } else if (defaultVal instanceof Short) {
                // Shorts are mapped to integers in Avro
                defaultVal = ((Short) defaultVal).intValue();
            } else if (defaultVal instanceof ByteBuffer) {
                // Avro doesn't handle ByteBuffer directly, but does handle 'byte[]'
                // Copy the contents of the byte buffer without side effects on the buffer
                ByteBuffer buffer = (ByteBuffer) defaultVal;
                byte[] bytes = new byte[buffer.remaining()];
                buffer.duplicate().get(bytes);
                defaultVal = bytes;
            }
        } else if (fieldSchema.isOptional()) {
            defaultVal = JsonProperties.NULL_VALUE;
        }
        org.apache.avro.Schema.Field field = new org.apache.avro.Schema.Field(
            fieldName,
            fromConnectSchema(fieldSchema, fromConnectContext, false),
            fieldSchema.doc(),
            defaultVal);
        fields.add(field);
    }

    private static Object toAvroLogical(Schema schema, Object value) {
        if (schema != null && schema.name() != null) {
            LogicalTypeConverter logicalConverter = TO_AVRO_LOGICAL_CONVERTERS.get(schema.name());
            if (logicalConverter != null && value != null) {
                return logicalConverter.convert(schema, value);
            }
        }
        return value;
    }

    private static Object toConnectLogical(Schema schema, Object value) {
        if (schema != null && schema.name() != null) {
            LogicalTypeConverter logicalConverter = TO_CONNECT_LOGICAL_CONVERTERS.get(schema.name());
            if (logicalConverter != null && value != null) {
                return logicalConverter.convert(schema, value);
            }
        }
        return value;
    }

    // Convert default values from Connect data format to Avro's format, which is an
    // org.codehaus.jackson.JsonNode. The default value is provided as an argument because even
    // though you can get a default value from the schema, default values for complex structures need
    // to perform the same translation but those defaults will be part of the original top-level
    // (complex type) default value, not part of the child schema.
    @SuppressWarnings("deprecation")
    private static JsonNode defaultValueFromConnect(Schema schema, Object value) {
        try {
            // If this is a logical type, convert it from the convenient Java type to the underlying
            // serializeable format
            Object defaultVal = toAvroLogical(schema, value);

            switch (schema.type()) {
                case INT8:
                    return JsonNodeFactory.instance.numberNode((Byte) defaultVal);
                case INT16:
                    return JsonNodeFactory.instance.numberNode((Short) defaultVal);
                case INT32:
                    return JsonNodeFactory.instance.numberNode((Integer) defaultVal);
                case INT64:
                    return JsonNodeFactory.instance.numberNode((Long) defaultVal);
                case FLOAT32:
                    return JsonNodeFactory.instance.numberNode((Float) defaultVal);
                case FLOAT64:
                    return JsonNodeFactory.instance.numberNode((Double) defaultVal);
                case BOOLEAN:
                    return JsonNodeFactory.instance.booleanNode((Boolean) defaultVal);
                case STRING:
                    return JsonNodeFactory.instance.textNode((String) defaultVal);
                case BYTES:
                    if (defaultVal instanceof byte[]) {
                        return JsonNodeFactory.instance.binaryNode((byte[]) defaultVal);
                    } else {
                        return JsonNodeFactory.instance.binaryNode(((ByteBuffer) defaultVal).array());
                    }
                case ARRAY: {
                    ArrayNode array = JsonNodeFactory.instance.arrayNode();
                    for (Object elem : (Collection<Object>) defaultVal) {
                        array.add(defaultValueFromConnect(schema.valueSchema(), elem));
                    }
                    return array;
                }
                case MAP:
                    if (schema.keySchema().type() == Schema.Type.STRING && !schema.keySchema().isOptional()) {
                        ObjectNode node = JsonNodeFactory.instance.objectNode();
                        for (Map.Entry<String, Object> entry : ((Map<String, Object>) defaultVal).entrySet()) {
                            JsonNode entryDef = defaultValueFromConnect(schema.valueSchema(), entry.getValue());
                            node.put(entry.getKey(), entryDef);
                        }
                        return node;
                    } else {
                        ArrayNode array = JsonNodeFactory.instance.arrayNode();
                        for (Map.Entry<Object, Object> entry : ((Map<Object, Object>) defaultVal).entrySet()) {
                            JsonNode keyDefault = defaultValueFromConnect(schema.keySchema(), entry.getKey());
                            JsonNode valDefault = defaultValueFromConnect(schema.valueSchema(), entry.getValue());
                            ArrayNode jsonEntry = JsonNodeFactory.instance.arrayNode();
                            jsonEntry.add(keyDefault);
                            jsonEntry.add(valDefault);
                            array.add(jsonEntry);
                        }
                        return array;
                    }
                case STRUCT: {
                    ObjectNode node = JsonNodeFactory.instance.objectNode();
                    Struct struct = ((Struct) defaultVal);
                    for (Field field : (schema.fields())) {
                        JsonNode fieldDef = defaultValueFromConnect(field.schema(), struct.get(field));
                        node.put(field.name(), fieldDef);
                    }
                    return node;
                }
                default:
                    throw new DataException("Unknown schema type:" + schema.type());
            }
        } catch (ClassCastException e) {
            throw new DataException("Invalid type used for default value of "
                                    + schema.type()
                                    + " field: "
                                    + schema.defaultValue().getClass());
        }
    }

    private static JsonNode parametersFromConnect(Map<String, String> params) {
        ObjectNode result = JsonNodeFactory.instance.objectNode();
        for (Map.Entry<String, String> entry : params.entrySet()) {
            result.put(entry.getKey(), entry.getValue());
        }
        return result;
    }

    private static void validateSchemaValue(Schema schema, Object value) throws DataException {
        if (value == null && schema != null && !schema.isOptional()) {
            throw new DataException("Found null value for non-optional schema");
        }
    }

    private boolean isMapEntry(final org.apache.avro.Schema elemSchema) {
        if (!elemSchema.getType().equals(org.apache.avro.Schema.Type.RECORD)) {
            return false;
        }
        if (NAMESPACE.equals(elemSchema.getNamespace())
            && MAP_ENTRY_TYPE_NAME.equals(elemSchema.getName())) {
            return true;
        }
        if (Objects.equals(elemSchema.getProp(CONNECT_INTERNAL_TYPE_NAME), MAP_ENTRY_TYPE_NAME)) {
            return true;
        }
        return false;
    }

    /**
     * Convert the given object, in Avro format, into a Connect data object.
     *
     * @param avroSchema the Avro schema
     * @param value      the value to convert into a Connect data object
     * @return the Connect schema and value
     */
    public SchemaAndValue toConnectData(org.apache.avro.Schema avroSchema, Object value) {
        return toConnectData(avroSchema, value, null);
    }

    /**
     * Convert the given object, in Avro format, into a Connect data object.
     *
     * @param avroSchema the Avro schema
     * @param value      the value to convert into a Connect data object
     * @param version    the version to set on the Connect schema if the avroSchema does not have a
     *                   property named "connect.version", may be null
     * @return the Connect schema and value
     */
    public SchemaAndValue toConnectData(org.apache.avro.Schema avroSchema, Object value,
                                        Integer version) {
        if (value == null) {
            return null;
        }
        ToConnectContext toConnectContext = new ToConnectContext();
        Schema schema = (avroSchema.equals(ANYTHING_SCHEMA))
                        ? null
                        : toConnectSchema(avroSchema, version, toConnectContext);
        return new SchemaAndValue(schema, toConnectData(schema, value, toConnectContext));
    }

    private Object toConnectData(Schema schema, Object value, ToConnectContext toConnectContext) {
        return toConnectData(schema, value, toConnectContext, true);
    }

    private Object toConnectData(Schema schema, Object value, ToConnectContext toConnectContext,
                                 boolean doLogicalConversion) {
        validateSchemaValue(schema, value);
        if (value == null) {
            return null;
        }
        try {
            // If we're decoding schemaless data, we need to unwrap it into just the single value
            if (schema == null) {
                if (!(value instanceof IndexedRecord)) {
                    throw new DataException("Invalid Avro data for schemaless Connect data");
                }
                IndexedRecord recordValue = (IndexedRecord) value;

                Object
                    boolVal =
                    recordValue.get(ANYTHING_SCHEMA.getField(ANYTHING_SCHEMA_BOOLEAN_FIELD).pos());
                if (boolVal != null) {
                    return toConnectData(Schema.BOOLEAN_SCHEMA, boolVal, toConnectContext);
                }

                Object
                    bytesVal =
                    recordValue.get(ANYTHING_SCHEMA.getField(ANYTHING_SCHEMA_BYTES_FIELD).pos());
                if (bytesVal != null) {
                    return toConnectData(Schema.BYTES_SCHEMA, bytesVal, toConnectContext);
                }

                Object
                    dblVal =
                    recordValue.get(ANYTHING_SCHEMA.getField(ANYTHING_SCHEMA_DOUBLE_FIELD).pos());
                if (dblVal != null) {
                    return toConnectData(Schema.FLOAT64_SCHEMA, dblVal, toConnectContext);
                }

                Object
                    fltVal =
                    recordValue.get(ANYTHING_SCHEMA.getField(ANYTHING_SCHEMA_FLOAT_FIELD).pos());
                if (fltVal != null) {
                    return toConnectData(Schema.FLOAT32_SCHEMA, fltVal, toConnectContext);
                }

                Object intVal = recordValue.get(ANYTHING_SCHEMA.getField(ANYTHING_SCHEMA_INT_FIELD).pos());
                if (intVal != null) {
                    return toConnectData(Schema.INT32_SCHEMA, intVal, toConnectContext);
                }

                Object
                    longVal =
                    recordValue.get(ANYTHING_SCHEMA.getField(ANYTHING_SCHEMA_LONG_FIELD).pos());
                if (longVal != null) {
                    return toConnectData(Schema.INT64_SCHEMA, longVal, toConnectContext);
                }

                Object
                    stringVal =
                    recordValue.get(ANYTHING_SCHEMA.getField(ANYTHING_SCHEMA_STRING_FIELD).pos());
                if (stringVal != null) {
                    return toConnectData(Schema.STRING_SCHEMA, stringVal, toConnectContext);
                }

                Object
                    arrayVal =
                    recordValue.get(ANYTHING_SCHEMA.getField(ANYTHING_SCHEMA_ARRAY_FIELD).pos());
                if (arrayVal != null) {
                    // We cannot reuse the logic like we do in other cases because it is not possible to
                    // construct an array schema with a null item schema, but the items have no schema.
                    if (!(arrayVal instanceof Collection)) {
                        throw new DataException(
                            "Expected a Collection for schemaless array field but found a "
                            + arrayVal.getClass().getName()
                        );
                    }
                    Collection<Object> original = (Collection<Object>) arrayVal;
                    List<Object> result = new ArrayList<>(original.size());
                    for (Object elem : original) {
                        result.add(toConnectData((Schema) null, elem, toConnectContext));
                    }
                    return result;
                }

                Object mapVal = recordValue.get(ANYTHING_SCHEMA.getField(ANYTHING_SCHEMA_MAP_FIELD).pos());
                if (mapVal != null) {
                    // We cannot reuse the logic like we do in other cases because it is not possible to
                    // construct a map schema with a null item schema, but the items have no schema.
                    if (!(mapVal instanceof Collection)) {
                        throw new DataException(
                            "Expected a List for schemaless map field but found a "
                            + mapVal.getClass().getName()
                        );
                    }
                    Collection<IndexedRecord> original = (Collection<IndexedRecord>) mapVal;
                    Map<Object, Object> result = new HashMap<>(original.size());
                    for (IndexedRecord entry : original) {
                        int avroKeyFieldIndex = entry.getSchema().getField(KEY_FIELD).pos();
                        int avroValueFieldIndex = entry.getSchema().getField(VALUE_FIELD).pos();
                        Object convertedKey = toConnectData(
                            null, entry.get(avroKeyFieldIndex), toConnectContext);
                        Object convertedValue = toConnectData(
                            null, entry.get(avroValueFieldIndex), toConnectContext);
                        result.put(convertedKey, convertedValue);
                    }
                    return result;
                }

                // If nothing was set, it's null
                return null;
            }

            Object converted = null;
            switch (schema.type()) {
                // Pass through types
                case INT32: {
                    Integer intValue = (Integer) value; // Validate type
                    converted = value;
                    break;
                }
                case INT64: {
                    long longValue;
                    if (value instanceof Integer) { // Convert up
                        longValue = ((Integer) value).longValue();
                    } else { // Validate type
                        longValue = (Long) value;
                    }
                    converted = longValue;
                    break;
                }
                case FLOAT32: {
                    Float floatValue = (Float) value; // Validate type
                    converted = value;
                    break;
                }
                case FLOAT64: {
                    Double doubleValue = (Double) value; // Validate type
                    converted = value;
                    break;
                }
                case BOOLEAN: {
                    Boolean boolValue = (Boolean) value; // Validate type
                    converted = value;
                    break;
                }

                case INT8:
                    // Encoded as an Integer
                    converted = ((Integer) value).byteValue();
                    break;
                case INT16:
                    // Encoded as an Integer
                    converted = ((Integer) value).shortValue();
                    break;

                case STRING:
                    if (value instanceof String) {
                        converted = value;
                    } else if (value instanceof CharSequence
                               || value instanceof GenericEnumSymbol
                               || value instanceof Enum) {
                        converted = value.toString();
                    } else {
                        throw new DataException("Invalid class for string type, expecting String or "
                                                + "CharSequence but found " + value.getClass());
                    }
                    break;

                case BYTES:
                    if (value instanceof byte[]) {
                        converted = ByteBuffer.wrap((byte[]) value);
                    } else if (value instanceof ByteBuffer) {
                        converted = value;
                    } else if (value instanceof GenericFixed) {
                        converted = ByteBuffer.wrap(((GenericFixed) value).bytes());
                    } else {
                        throw new DataException("Invalid class for bytes type, expecting byte[] or ByteBuffer "
                                                + "but found " + value.getClass());
                    }
                    break;

                case ARRAY: {
                    Schema valueSchema = schema.valueSchema();
                    Collection<Object> original = (Collection<Object>) value;
                    List<Object> result = new ArrayList<>(original.size());
                    for (Object elem : original) {
                        result.add(toConnectData(valueSchema, elem, toConnectContext));
                    }
                    converted = result;
                    break;
                }

                case MAP: {
                    Schema keySchema = schema.keySchema();
                    Schema valueSchema = schema.valueSchema();
                    if (keySchema != null && keySchema.type() == Schema.Type.STRING && !keySchema
                        .isOptional()) {
                        // Non-optional string keys
                        Map<CharSequence, Object> original = (Map<CharSequence, Object>) value;
                        Map<CharSequence, Object> result = new HashMap<>(original.size());
                        for (Map.Entry<CharSequence, Object> entry : original.entrySet()) {
                            result.put(entry.getKey().toString(),
                                       toConnectData(valueSchema, entry.getValue(), toConnectContext));
                        }
                        converted = result;
                    } else {
                        // Arbitrary keys
                        Collection<IndexedRecord> original = (Collection<IndexedRecord>) value;
                        Map<Object, Object> result = new HashMap<>(original.size());
                        for (IndexedRecord entry : original) {
                            int avroKeyFieldIndex = entry.getSchema().getField(KEY_FIELD).pos();
                            int avroValueFieldIndex = entry.getSchema().getField(VALUE_FIELD).pos();
                            Object convertedKey = toConnectData(
                                keySchema, entry.get(avroKeyFieldIndex), toConnectContext);
                            Object convertedValue = toConnectData(
                                valueSchema, entry.get(avroValueFieldIndex), toConnectContext);
                            result.put(convertedKey, convertedValue);
                        }
                        converted = result;
                    }
                    break;
                }

                case STRUCT: {
                    // Special case support for union types
                    if (schema.name() != null && schema.name().equals(AVRO_TYPE_UNION)) {
                        Schema valueRecordSchema = null;
                        if (value instanceof IndexedRecord) {
                            IndexedRecord valueRecord = ((IndexedRecord) value);
                            valueRecordSchema = toConnectSchemaWithCycles(
                                valueRecord.getSchema(), true, null, null, toConnectContext);
                        }
                        for (Field field : schema.fields()) {
                            Schema fieldSchema = field.schema();

                            if (isInstanceOfAvroSchemaTypeForSimpleSchema(fieldSchema, value)
                                || (valueRecordSchema != null && schemaEquals(valueRecordSchema, fieldSchema))) {
                                converted = new Struct(schema).put(
                                    unionMemberFieldName(fieldSchema),
                                    toConnectData(fieldSchema, value, toConnectContext));
                                break;
                            }
                        }
                        if (converted == null) {
                            throw new DataException(
                                "Did not find matching union field for data: " + value.toString());
                        }
                    } else {
                        IndexedRecord original = (IndexedRecord) value;
                        Struct result = new Struct(schema);
                        for (Field field : schema.fields()) {
                            int avroFieldIndex = original.getSchema().getField(field.name()).pos();
                            Object convertedFieldValue =
                                toConnectData(field.schema(), original.get(avroFieldIndex), toConnectContext);
                            result.put(field, convertedFieldValue);
                        }
                        converted = result;
                    }
                    break;
                }

                default:
                    throw new DataException("Unknown Connect schema type: " + schema.type());
            }

            if (schema != null && schema.name() != null && doLogicalConversion) {
                LogicalTypeConverter logicalConverter = TO_CONNECT_LOGICAL_CONVERTERS.get(schema.name());
                if (logicalConverter != null) {
                    converted = logicalConverter.convert(schema, converted);
                }
            }
            return converted;
        } catch (ClassCastException e) {
            throw new DataException("Invalid type for " + schema.type() + ": " + value.getClass());
        }
    }

    protected boolean getForceOptionalDefault() {
        return false;
    }

    public Schema toConnectSchema(org.apache.avro.Schema schema) {
        return toConnectSchema(schema, null, new ToConnectContext());
    }


    private Schema toConnectSchema(org.apache.avro.Schema schema,
                                   Integer version,
                                   ToConnectContext toConnectContext) {

        // We perform caching only at this top level. While it might be helpful to cache some more of
        // the internal conversions, this is the safest place to add caching since some of the internal
        // conversions take extra flags (like forceOptional) which means the resulting schema might not
        // exactly match the Avro schema.
        AvroSchemaAndVersion schemaAndVersion = new AvroSchemaAndVersion(schema, version);
        Schema cachedSchema = toConnectSchemaCache.get(schemaAndVersion);
        if (cachedSchema != null) {
            return cachedSchema;
        }

        Schema resultSchema = toConnectSchema(schema, getForceOptionalDefault(), null,
                                              null, version, toConnectContext);
        toConnectSchemaCache.put(schemaAndVersion, resultSchema);
        return resultSchema;
    }

    /**
     * @param schema           schema to convert
     * @param forceOptional    make the resulting schema optional, for converting Avro unions to a
     *                         record format and simple Avro unions of null + type to optional schemas
     * @param fieldDefaultVal  if non-null, override any connect-annotated default values with this
     *                         one; used when converting Avro record fields since they define default
     *                         values with the field spec, but Connect specifies them with the field's
     *                         schema
     * @param docDefaultVal    if non-null, override any connect-annotated documentation with this
     *                         one;
     *                         used when converting Avro record fields since they define doc values
     * @param toConnectContext context object that holds state while doing the conversion
     */
    private Schema toConnectSchema(org.apache.avro.Schema schema,
                                   boolean forceOptional,
                                   Object fieldDefaultVal,
                                   String docDefaultVal,
                                   ToConnectContext toConnectContext) {
        return toConnectSchema(
            schema, forceOptional, fieldDefaultVal, docDefaultVal, null, toConnectContext);

    }

    private Schema toConnectSchema(org.apache.avro.Schema schema,
                                   boolean forceOptional,
                                   Object fieldDefaultVal,
                                   String docDefaultVal,
                                   Integer version,
                                   ToConnectContext toConnectContext) {

        String type = schema.getProp(CONNECT_TYPE_PROP);
        String logicalType = schema.getProp(AVRO_LOGICAL_TYPE_PROP);

        final SchemaBuilder builder;

        switch (schema.getType()) {
            case BOOLEAN:
                builder = SchemaBuilder.bool();
                break;
            case BYTES:
            case FIXED:
                if (AVRO_LOGICAL_DECIMAL.equalsIgnoreCase(logicalType)) {
                    Object scaleNode = schema.getObjectProp(AVRO_LOGICAL_DECIMAL_SCALE_PROP);
                    if (null == scaleNode || !(scaleNode instanceof Number)) {
                        throw new DataException("scale must be specified and must be a number.");
                    }
                    Number scale = (Number) scaleNode;
                    builder = Decimal.builder(scale.intValue());

                    Object precisionNode = schema.getObjectProp(AVRO_LOGICAL_DECIMAL_PRECISION_PROP);
                    if (null != precisionNode) {
                        if (!(precisionNode instanceof Number)) {
                            throw new DataException(AVRO_LOGICAL_DECIMAL_PRECISION_PROP
                                                    + " property must be a JSON Integer."
                                                    + " https://avro.apache.org/docs/1.9.1/spec.html#Decimal");
                        }
                        // Capture the precision as a parameter only if it is not the default
                        Integer precision = ((Number) precisionNode).intValue();
                        if (! precision.equals(CONNECT_AVRO_DECIMAL_PRECISION_DEFAULT)) {
                            builder.parameter(CONNECT_AVRO_DECIMAL_PRECISION_PROP, precision.toString());
                        }
                    }
                } else {
                    builder = SchemaBuilder.bytes();
                }
                break;
            case DOUBLE:
                builder = SchemaBuilder.float64();
                break;
            case FLOAT:
                builder = SchemaBuilder.float32();
                break;
            case INT:
                // INT is used for Connect's INT8, INT16, and INT32
                if (type == null && logicalType == null) {
                    builder = SchemaBuilder.int32();
                } else if (logicalType != null) {
                    if (AVRO_LOGICAL_DATE.equalsIgnoreCase(logicalType)) {
                        builder = Date.builder();
                    } else if (AVRO_LOGICAL_TIME_MILLIS.equalsIgnoreCase(logicalType)) {
                        builder = Time.builder();
                    } else {
                        builder = SchemaBuilder.int32();
                    }
                } else {
                    Schema.Type connectType = NON_AVRO_TYPES_BY_TYPE_CODE.get(type);
                    if (connectType == null) {
                        throw new DataException("Connect type annotation for Avro int field is null");
                    }
                    builder = SchemaBuilder.type(connectType);
                }
                break;
            case LONG:
                if (AVRO_LOGICAL_TIMESTAMP_MILLIS.equalsIgnoreCase(logicalType)) {
                    builder = Timestamp.builder();
                } else {
                    builder = SchemaBuilder.int64();
                }
                break;
            case STRING:
                builder = SchemaBuilder.string();
                break;

            case ARRAY:
                org.apache.avro.Schema elemSchema = schema.getElementType();
                // Special case for custom encoding of non-string maps as list of key-value records
                if (isMapEntry(elemSchema)) {
                    if (elemSchema.getFields().size() != 2
                        || elemSchema.getField(KEY_FIELD) == null
                        || elemSchema.getField(VALUE_FIELD) == null) {
                        throw new DataException("Found map encoded as array of key-value pairs, but array "
                                                + "elements do not match the expected format.");
                    }
                    builder = SchemaBuilder.map(
                        toConnectSchema(elemSchema.getField(KEY_FIELD).schema()),
                        toConnectSchema(elemSchema.getField(VALUE_FIELD).schema())
                    );
                } else {
                    Schema arraySchema = toConnectSchemaWithCycles(
                        schema.getElementType(), getForceOptionalDefault(),
                        null, null, toConnectContext);
                    builder = SchemaBuilder.array(arraySchema);
                }
                break;

            case MAP:
                builder = SchemaBuilder.map(
                    Schema.STRING_SCHEMA,
                    toConnectSchemaWithCycles(schema.getValueType(), getForceOptionalDefault(),
                                              null, null, toConnectContext)
                );
                break;

            case RECORD: {
                builder = SchemaBuilder.struct();
                toConnectContext.cycleReferences.put(schema, new CyclicSchemaWrapper(builder));
                for (org.apache.avro.Schema.Field field : schema.getFields()) {

                    Schema fieldSchema = toConnectSchema(field.schema(), getForceOptionalDefault(),
                                                         field.defaultVal(), field.doc(), toConnectContext);
                    builder.field(field.name(), fieldSchema);
                }
                break;
            }

            case ENUM:
                // enums are unwrapped to strings and the original enum is not preserved
                builder = SchemaBuilder.string();
                if (connectMetaData && schema.getDoc() != null) {
                    builder.parameter(CONNECT_ENUM_DOC_PROP, schema.getDoc());
                }
                builder.parameter(AVRO_TYPE_ENUM, schema.getFullName());
                for (String enumSymbol : schema.getEnumSymbols()) {
                    builder.parameter(AVRO_TYPE_ENUM + "." + enumSymbol, enumSymbol);
                }
                break;

            case UNION: {
                if (schema.getTypes().size() == 2) {
                    if (schema.getTypes().contains(NULL_AVRO_SCHEMA)) {
                        for (org.apache.avro.Schema memberSchema : schema.getTypes()) {
                            if (!memberSchema.equals(NULL_AVRO_SCHEMA)) {
                                return toConnectSchemaWithCycles(
                                    memberSchema, true, null, docDefaultVal, toConnectContext);
                            }
                        }
                    }
                }
                builder = SchemaBuilder.struct().name(AVRO_TYPE_UNION);
                Set<String> fieldNames = new HashSet<>();
                for (org.apache.avro.Schema memberSchema : schema.getTypes()) {
                    if (memberSchema.getType() == org.apache.avro.Schema.Type.NULL) {
                        builder.optional();
                    } else {
                        String fieldName = unionMemberFieldName(memberSchema);
                        if (fieldNames.contains(fieldName)) {
                            throw new DataException("Multiple union schemas map to the Connect union field name");
                        }
                        fieldNames.add(fieldName);
                        builder.field(
                            fieldName,
                            toConnectSchemaWithCycles(memberSchema, true, null, null, toConnectContext)
                        );
                    }
                }
                break;
            }

            case NULL:
                // There's no dedicated null type in Connect. However, it also doesn't make sense to have a
                // standalone null type -- it wouldn't provide any useful information. Instead, it should
                // only be used in union types.
                throw new DataException("Standalone null schemas are not supported by this converter");

            default:
                throw new DataException("Couldn't translate unsupported schema type "
                                        + schema.getType().getName() + ".");
        }

        String docVal = docDefaultVal != null ? docDefaultVal :
                        (schema.getDoc() != null ? schema.getDoc() : schema.getProp(CONNECT_DOC_PROP));
        if (docVal != null) {
            builder.doc(docVal);
        }
        if (connectMetaData && schema.getDoc() != null) {
            builder.parameter(CONNECT_RECORD_DOC_PROP, schema.getDoc());
        }

        // Included Kafka Connect version takes priority, fall back to schema registry version
        int versionInt = -1;  // A valid version must be a positive integer (assumed throughout SR)
        Object versionNode = schema.getObjectProp(CONNECT_VERSION_PROP);
        if (versionNode != null) {
            if (!(versionNode instanceof Number)) {
                throw new DataException("Invalid Connect version found: " + versionNode.toString());
            }
            versionInt = ((Number) versionNode).intValue();
        } else if (version != null) {
            versionInt = version.intValue();
        }
        if (versionInt >= 0) {
            if (builder.version() != null) {
                if (versionInt != builder.version()) {
                    throw new DataException("Mismatched versions: version already added to SchemaBuilder "
                                            + "("
                                            + builder.version()
                                            + ") differs from version in source schema ("
                                            + versionInt
                                            + ")");
                }
            } else {
                builder.version(versionInt);
            }
        }

        Object parameters = schema.getObjectProp(CONNECT_PARAMETERS_PROP);
        if (connectMetaData && parameters != null) {
            if (!(parameters instanceof Map)) {
                throw new DataException("Expected JSON object for schema parameters but found: "
                                        + parameters);
            }
            Iterator<Map.Entry<String, Object>> paramIt =
                ((Map<String, Object>) parameters).entrySet().iterator();
            while (paramIt.hasNext()) {
                Map.Entry<String, Object> field = paramIt.next();
                Object jsonValue = field.getValue();
                if (!(jsonValue instanceof String)) {
                    throw new DataException("Expected schema parameter values to be strings but found: "
                                            + jsonValue);
                }
                builder.parameter(field.getKey(), (String) jsonValue);
            }
        }

        for (Map.Entry<String, Object> entry : schema.getObjectProps().entrySet()) {
            if (entry.getKey().startsWith(AVRO_PROP)) {
                builder.parameter(entry.getKey(), entry.getValue().toString());
            }
        }

        if (fieldDefaultVal == null) {
            fieldDefaultVal = JacksonUtils.toJsonNode(schema.getObjectProp(CONNECT_DEFAULT_VALUE_PROP));
        }
        if (fieldDefaultVal != null) {
            builder.defaultValue(
                defaultValueFromAvro(builder, schema, fieldDefaultVal, toConnectContext));
        }

        Object connectNameJson = schema.getObjectProp(CONNECT_NAME_PROP);
        String name = null;
        if (connectNameJson != null) {
            if (!(connectNameJson instanceof String)) {
                throw new DataException("Invalid schema name: " + connectNameJson.toString());
            }
            name = (String) connectNameJson;

        } else if (schema.getType() == org.apache.avro.Schema.Type.RECORD
                   || schema.getType() == org.apache.avro.Schema.Type.ENUM) {
            name = schema.getFullName();
        }
        if (name != null && !name.equals(DEFAULT_SCHEMA_FULL_NAME)) {
            if (builder.name() != null) {
                if (!name.equals(builder.name())) {
                    throw new DataException("Mismatched names: name already added to SchemaBuilder ("
                                            + builder.name()
                                            + ") differs from name in source schema ("
                                            + name + ")");
                }
            } else {
                builder.name(name);
            }
        }

        if (forceOptional) {
            builder.optional();
        }

        if (!toConnectContext.detectedCycles.contains(schema)
            && toConnectContext.cycleReferences.containsKey(schema)) {
            toConnectContext.cycleReferences.remove(schema);
        }

        return builder.build();
    }

    private Schema toConnectSchemaWithCycles(org.apache.avro.Schema schema,
                                             boolean forceOptional,
                                             Object fieldDefaultVal,
                                             String docDefaultVal,
                                             ToConnectContext toConnectContext) {
        Schema resolvedSchema;
        if (toConnectContext.cycleReferences.containsKey(schema)) {
            toConnectContext.detectedCycles.add(schema);
            resolvedSchema = cyclicSchemaWrapper(toConnectContext.cycleReferences, schema, forceOptional);
        } else {
            resolvedSchema = toConnectSchema(
                schema, forceOptional, fieldDefaultVal, docDefaultVal, toConnectContext);
        }
        return resolvedSchema;
    }

    private CyclicSchemaWrapper cyclicSchemaWrapper(
        Map<org.apache.avro.Schema, CyclicSchemaWrapper> toConnectCycles,
        org.apache.avro.Schema memberSchema,
        boolean optional) {
        return new CyclicSchemaWrapper(toConnectCycles.get(memberSchema).schema(), optional);
    }

    private Object defaultValueFromAvro(Schema schema,
                                        org.apache.avro.Schema avroSchema,
                                        Object value,
                                        ToConnectContext toConnectContext) {
        Object result = defaultValueFromAvroWithoutLogical(schema, avroSchema, value, toConnectContext);
        // If the schema is a logical type, convert the primitive Avro default into the logical form
        return toConnectLogical(schema, result);
    }

    private Object defaultValueFromAvroWithoutLogical(Schema schema,
                                                      org.apache.avro.Schema avroSchema,
                                                      Object value,
                                                      ToConnectContext toConnectContext) {
        if (value == null || value == JsonProperties.NULL_VALUE) {
            return null;
        }

        // The type will be JsonNode if this default was pulled from a Connect default field, or an
        // Object if it's the actual Avro-specified default. If it's a regular Java object, we can
        // use our existing conversion tools.
        if (!(value instanceof JsonNode)) {
            return toConnectData(schema, value, toConnectContext, false);
        }

        JsonNode jsonValue = (JsonNode) value;
        switch (avroSchema.getType()) {
            case INT:
                if (schema.type() == Schema.Type.INT8) {
                    return (byte) jsonValue.intValue();
                } else if (schema.type() == Schema.Type.INT16) {
                    return jsonValue.shortValue();
                } else if (schema.type() == Schema.Type.INT32) {
                    return jsonValue.intValue();
                } else {
                    break;
                }

            case LONG:
                return jsonValue.longValue();

            case FLOAT:
                return (float) jsonValue.doubleValue();
            case DOUBLE:
                return jsonValue.doubleValue();

            case BOOLEAN:
                return jsonValue.asBoolean();

            case NULL:
                return null;

            case STRING:
            case ENUM:
                return jsonValue.asText();

            case BYTES:
            case FIXED:
                try {
                    byte[] bytes;
                    if (Decimal.LOGICAL_NAME.equalsIgnoreCase(schema.name())) {
                        bytes = jsonValue.binaryValue();
                    } else if (jsonValue.isTextual()) {
                        // Avro's JSON form may be a quoted string, so decode the binary value
                        String encoded = jsonValue.textValue();
                        bytes = encoded.getBytes(StandardCharsets.ISO_8859_1);
                    } else {
                        bytes = jsonValue.binaryValue();
                    }
                    return bytes == null ? null : ByteBuffer.wrap(bytes);
                } catch (IOException e) {
                    throw new DataException("Invalid binary data in default value", e);
                }

            case ARRAY: {
                if (!jsonValue.isArray()) {
                    throw new DataException("Invalid JSON for array default value: " + jsonValue.toString());
                }
                List<Object> result = new ArrayList<>(jsonValue.size());
                for (JsonNode elem : jsonValue) {
                    result.add(
                        defaultValueFromAvro(schema, avroSchema.getElementType(), elem, toConnectContext));
                }
                return result;
            }

            case MAP: {
                if (!jsonValue.isObject()) {
                    throw new DataException("Invalid JSON for map default value: " + jsonValue.toString());
                }
                Map<String, Object> result = new HashMap<>(jsonValue.size());
                Iterator<Map.Entry<String, JsonNode>> fieldIt = jsonValue.fields();
                while (fieldIt.hasNext()) {
                    Map.Entry<String, JsonNode> field = fieldIt.next();
                    Object converted = defaultValueFromAvro(
                        schema.valueSchema(), avroSchema.getValueType(), field.getValue(), toConnectContext);
                    result.put(field.getKey(), converted);
                }
                return result;
            }

            case RECORD: {
                if (!jsonValue.isObject()) {
                    throw new DataException("Invalid JSON for record default value: " + jsonValue.toString());
                }

                Struct result = new Struct(schema);
                for (org.apache.avro.Schema.Field avroField : avroSchema.getFields()) {
                    Field field = schema.field(avroField.name());
                    JsonNode fieldJson = ((JsonNode) value).get(field.name());
                    Object converted = defaultValueFromAvro(
                        field.schema(), avroField.schema(), fieldJson, toConnectContext);
                    result.put(avroField.name(), converted);
                }
                return result;
            }

            case UNION: {
                // Defaults must match first type
                org.apache.avro.Schema memberAvroSchema = avroSchema.getTypes().get(0);
                if (memberAvroSchema.getType() == org.apache.avro.Schema.Type.NULL) {
                    return null;
                } else {
                    return defaultValueFromAvro(
                        schema.field(unionMemberFieldName(memberAvroSchema)).schema(),
                        memberAvroSchema,
                        value,
                        toConnectContext);
                }
            }
            default: {
                return null;
            }
        }
        return null;
    }


    private String unionMemberFieldName(org.apache.avro.Schema schema) {
        if (schema.getType() == org.apache.avro.Schema.Type.RECORD
            || schema.getType() == org.apache.avro.Schema.Type.ENUM) {
            if (enhancedSchemaSupport) {
                return schema.getFullName();
            } else {
                return splitName(schema.getName())[1];
            }
        }
        return schema.getType().getName();
    }

    private String unionMemberFieldName(Schema schema) {
        if (schema.type() == Schema.Type.STRUCT || isEnumSchema(schema)) {
            if (enhancedSchemaSupport) {
                return schema.name();
            } else {
                return splitName(schema.name())[1];
            }
        }
        return CONNECT_TYPES_TO_AVRO_TYPES.get(schema.type()).getName();
    }

    private static boolean isEnumSchema(Schema schema) {
        return schema.type() == Schema.Type.STRING
               && schema.name() != null
               && schema.name().equals(AVRO_TYPE_ENUM);
    }

    private static boolean isInstanceOfAvroSchemaTypeForSimpleSchema(Schema fieldSchema,
                                                                     Object value) {
        List<Class> classes = SIMPLE_AVRO_SCHEMA_TYPES.get(fieldSchema.type());
        if (classes == null) {
            return false;
        }
        for (Class type : classes) {
            if (type.isInstance(value)) {
                return true;
            }
        }
        return false;
    }

    /**
     * Split a full dotted-syntax name into a namespace and a single-component name.
     */
    private static String[] splitName(String fullName) {
        String[] result = new String[2];
        int indexLastDot = fullName.lastIndexOf('.');
        if (indexLastDot >= 0) {
            result[0] = fullName.substring(0, indexLastDot);
            result[1] = fullName.substring(indexLastDot + 1);
        } else {
            result[0] = null;
            result[1] = fullName;
        }
        return result;
    }

    private interface LogicalTypeConverter {

        Object convert(Schema schema, Object value);
    }

    public static Schema nonOptional(Schema schema) {
        return new ConnectSchema(schema.type(), false, schema.defaultValue(), schema.name(),
                                 schema.version(), schema.doc(),
                                 schema.parameters(),
                                 fields(schema),
                                 keySchema(schema),
                                 valueSchema(schema));
    }

    public static List<Field> fields(Schema schema) {
        Schema.Type type = schema.type();
        if (Schema.Type.STRUCT.equals(type)) {
            return schema.fields();
        } else {
            return null;
        }
    }

    public static Schema keySchema(Schema schema) {
        Schema.Type type = schema.type();
        if (Schema.Type.MAP.equals(type)) {
            return schema.keySchema();
        } else {
            return null;
        }
    }

    public static Schema valueSchema(Schema schema) {
        Schema.Type type = schema.type();
        if (Schema.Type.MAP.equals(type) || Schema.Type.ARRAY.equals(type)) {
            return schema.valueSchema();
        } else {
            return null;
        }
    }

    private static boolean schemaEquals(Schema src, Schema that) {
        boolean equals = Objects.equals(src.isOptional(), that.isOptional())
                         && Objects.equals(src.version(), that.version())
                         && Objects.equals(src.name(), that.name())
                         && Objects.equals(src.doc(), that.doc())
                         && Objects.equals(src.type(), that.type())
                         && Objects.deepEquals(src.defaultValue(), that.defaultValue())
                         && Objects.equals(src.fields(), that.fields())
                         && Objects.equals(src.parameters(), that.parameters());

        switch (src.type()) {
            case ARRAY:
                return equals && Objects.equals(src.valueSchema(), that.valueSchema());
            case MAP:
                return equals
                       && Objects.equals(src.valueSchema(), that.valueSchema())
                       && Objects.equals(src.keySchema(), that.keySchema());
            default:
                return equals;
        }
    }

    private static class CyclicSchemaWrapper implements Schema {

        private final Schema schema;
        private final boolean optional;

        public CyclicSchemaWrapper(Schema schema) {
            this(schema, schema.isOptional());
        }

        public CyclicSchemaWrapper(Schema schema, boolean optional) {
            this.schema = schema;
            this.optional = optional;
        }

        @Override
        public Type type() {
            return schema.type();
        }

        @Override
        public boolean isOptional() {
            return optional;
        }

        @Override
        public Object defaultValue() {
            return schema.defaultValue();
        }

        @Override
        public String name() {
            return schema.name();
        }

        @Override
        public Integer version() {
            return schema.version();
        }

        @Override
        public String doc() {
            return schema.doc();
        }

        @Override
        public Map<String, String> parameters() {
            return schema.parameters();
        }

        @Override
        public Schema keySchema() {
            return schema.keySchema();
        }

        @Override
        public Schema valueSchema() {
            return schema.valueSchema();
        }

        @Override
        public List<Field> fields() {
            return schema.fields();
        }

        @Override
        public Field field(String s) {
            return schema.field(s);
        }

        @Override
        public Schema schema() {
            return schema;
        }

    }

    /**
     * Class that holds the context for performing {@code toConnectSchema}
     */
    private static class ToConnectContext {
        private final Map<org.apache.avro.Schema, CyclicSchemaWrapper> cycleReferences;
        private final Set<org.apache.avro.Schema> detectedCycles;

        /**
         * cycleReferences - map that holds connect Schema references to resolve cycles
         * detectedCycles - avro schemas that have been detected to have cycles
         */
        private ToConnectContext() {
            this.cycleReferences = new IdentityHashMap<>();
            this.detectedCycles = new HashSet<>();
        }
    }

    /**
     * Class that holds the context for performing {@code fromConnectSchema}
     */
    private static class FromConnectContext {
        //SchemaMap is used to resolve references that need to mapped as types
        private final Map<Schema, org.apache.avro.Schema> schemaMap;
        //schema name to Schema reference to resolve cycles
        private final Map<String, org.apache.avro.Schema> cycleReferences;

        private FromConnectContext(Map<Schema, org.apache.avro.Schema> schemaMap) {
            this.schemaMap = schemaMap;
            this.cycleReferences = new IdentityHashMap<>();
        }

    }
}
