JsonRowEncoder.java
/*
* 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 com.facebook.presto.kafka.encoder.json;
import com.facebook.presto.common.type.Type;
import com.facebook.presto.kafka.encoder.AbstractRowEncoder;
import com.facebook.presto.kafka.encoder.EncoderColumnHandle;
import com.facebook.presto.spi.ConnectorSession;
import com.fasterxml.jackson.core.JsonProcessingException;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.fasterxml.jackson.databind.node.ObjectNode;
import com.google.common.collect.ImmutableSet;
import java.nio.ByteBuffer;
import java.util.List;
import java.util.Set;
import static com.facebook.presto.common.type.BigintType.BIGINT;
import static com.facebook.presto.common.type.BooleanType.BOOLEAN;
import static com.facebook.presto.common.type.DoubleType.DOUBLE;
import static com.facebook.presto.common.type.IntegerType.INTEGER;
import static com.facebook.presto.common.type.SmallintType.SMALLINT;
import static com.facebook.presto.common.type.TinyintType.TINYINT;
import static com.facebook.presto.common.type.Varchars.isVarcharType;
import static com.google.common.base.Preconditions.checkArgument;
import static java.lang.String.format;
import static java.util.Objects.requireNonNull;
public class JsonRowEncoder
extends AbstractRowEncoder
{
private static final Set<Type> PRIMITIVE_SUPPORTED_TYPES = ImmutableSet.of(
BIGINT, INTEGER, SMALLINT, TINYINT, DOUBLE, BOOLEAN);
public static final String NAME = "json";
private final ObjectMapper objectMapper;
private final ObjectNode node;
JsonRowEncoder(ConnectorSession session, List<EncoderColumnHandle> columnHandles, ObjectMapper objectMapper)
{
super(session, columnHandles);
for (EncoderColumnHandle columnHandle : this.columnHandles) {
checkArgument(isSupportedType(columnHandle.getType()), "Unsupported column type '%s' for column '%s'", columnHandle.getType(), columnHandle.getName());
checkArgument(columnHandle.getFormatHint() == null, "Unexpected format hint '%s' defined for column '%s'", columnHandle.getFormatHint(), columnHandle.getName());
checkArgument(columnHandle.getDataFormat() == null, "Unexpected data format '%s' defined for column '%s'", columnHandle.getDataFormat(), columnHandle.getName());
}
this.objectMapper = requireNonNull(objectMapper, "objectMapper is null");
this.node = objectMapper.createObjectNode();
}
private boolean isSupportedType(Type type)
{
return isVarcharType(type) ||
PRIMITIVE_SUPPORTED_TYPES.contains(type);
}
private String currentColumnName()
{
return columnHandles.get(currentColumnIndex).getName();
}
@Override
protected void appendNullValue()
{
node.putNull(currentColumnName());
}
@Override
protected void appendLong(long value)
{
node.put(currentColumnName(), value);
}
@Override
protected void appendInt(int value)
{
node.put(currentColumnName(), value);
}
@Override
protected void appendShort(short value)
{
node.put(currentColumnName(), value);
}
@Override
protected void appendByte(byte value)
{
node.put(currentColumnName(), value);
}
@Override
protected void appendDouble(double value)
{
node.put(currentColumnName(), value);
}
@Override
protected void appendFloat(float value)
{
node.put(currentColumnName(), value);
}
@Override
protected void appendBoolean(boolean value)
{
node.put(currentColumnName(), value);
}
@Override
protected void appendString(String value)
{
node.put(currentColumnName(), value);
}
@Override
protected void appendByteBuffer(ByteBuffer value)
{
node.put(currentColumnName(), value.array());
}
@Override
public byte[] toByteArray()
{
// make sure entire row has been updated with new values
checkArgument(currentColumnIndex == columnHandles.size(), format("Missing %d columns", columnHandles.size() - currentColumnIndex + 1));
try {
resetColumnIndex(); // reset currentColumnIndex to prepare for next row
return objectMapper.writeValueAsBytes(node);
}
catch (JsonProcessingException e) {
throw new RuntimeException(e);
}
}
}