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SQL Kafka Connect SMT library
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/*
* Copyright 2017 Landoop.
*
* 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.landoop.connect.sql
import java.util
import org.apache.calcite.sql.SqlIdentifier
import org.apache.kafka.common.config.{AbstractConfig, ConfigDef}
import org.apache.kafka.connect.connector.ConnectRecord
/**
* The SQL transformer. It takes two sql entries for keys and values.
*
* @tparam T
*/
class Transformation[T <: ConnectRecord[T]] extends org.apache.kafka.connect.transforms.Transformation[T] {
private var sqlKeyMap = Map.empty[String, Sql]
private var sqlValueMap = Map.empty[String, Sql]
override def apply(record: T): T = {
val topic = record.topic()
sqlKeyMap.get(topic).map { sql =>
val (keySchema, keyValue) = Transform(sql, record.keySchema(), record.key(), true, topic, record.kafkaPartition())
sqlValueMap.get(topic).map { sql =>
val (valueSchema, value) = Transform(sql, record.valueSchema(), record.value(), false, topic, record.kafkaPartition())
record.newRecord(
record.topic(),
record.kafkaPartition(),
keySchema,
keyValue,
valueSchema,
value,
record.timestamp()
)
}.getOrElse {
record.newRecord(
record.topic(),
record.kafkaPartition(),
keySchema,
keyValue,
record.valueSchema(),
record.value(),
record.timestamp())
}
}.getOrElse {
sqlValueMap.get(topic).map { sql =>
val (valueSchema, value) = Transform(sql, record.valueSchema(), record.value(), false, topic, record.kafkaPartition())
record.newRecord(
topic,
record.kafkaPartition(),
record.keySchema(),
record.key(),
valueSchema,
value,
record.timestamp()
)
}.getOrElse(record)
}
}
override def config(): ConfigDef = Transformation.configDef
override def close(): Unit = {}
override def configure(configs: util.Map[String, _]): Unit = {
val config = new TransformationConfig(configs)
def fromConfig(query: String) =
Option(query)
.map { c =>
c.split(";")
.map { k =>
val sql = Sql.parse(k.trim)
sql.select.getFrom.asInstanceOf[SqlIdentifier].getSimple -> sql
}.toMap
}.getOrElse(Map.empty)
sqlKeyMap = fromConfig(config.getString(Transformation.KEY_SQL_CONFIG))
sqlValueMap = fromConfig(config.getString(Transformation.VALUE_SQL_CONFIG))
}
}
private object Transformation {
val KEY_SQL_CONFIG = "connect.transforms.sql.key"
private val KEY_SQL_DOC = "Provides the SQL transformation for the keys. To provide more than one separate them by ';'"
private val KEY_SQL_DISPLAY = "Key(-s) SQL transformation"
val VALUE_SQL_CONFIG = "connect.transforms.sql.value"
private val VALUE_SQL_DOC = "Provides the SQL transformation for the Kafka message value. To provide more than one separate them by ';'"
private val VALUE_SQL_DISPLAY = "Value(-s) SQL transformation"
val configDef: ConfigDef = new ConfigDef()
.define(VALUE_SQL_CONFIG,
ConfigDef.Type.STRING,
null,
ConfigDef.Importance.MEDIUM,
VALUE_SQL_DOC,
"Transforms",
1,
ConfigDef.Width.LONG,
VALUE_SQL_DISPLAY
)
.define(KEY_SQL_CONFIG,
ConfigDef.Type.STRING,
null,
ConfigDef.Importance.MEDIUM,
KEY_SQL_DOC,
"Transforms",
2,
ConfigDef.Width.LONG,
KEY_SQL_DISPLAY
)
}
class TransformationConfig(config: util.Map[String, _]) extends AbstractConfig(Transformation.configDef, config)
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