blob: 194843888e26689aa1ab1db1dd84bf54e273eb8d [file] [log] [blame]
Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements. See the NOTICE file
distributed with this work for additional information
regarding copyright ownership. The ASF licenses this file
to you under the Apache License, Version 2.0 (the
"License"); you may not use this file except in compliance
with the License. You may obtain a copy of the License at
Unless required by applicable law or agreed to in writing,
software distributed under the License is distributed on an
KIND, either express or implied. See the License for the
specific language governing permissions and limitations
under the License.
package org.apache.griffin.measure.datasource.cache
import org.apache.spark.sql.SparkSession
import org.apache.griffin.measure.Loggable
import org.apache.griffin.measure.datasource.TimestampStorage
import org.apache.griffin.measure.utils.ParamUtil._
object StreamingCacheClientFactory extends Loggable {
private object DataSourceCacheType {
val ParquetRegex = "^(?i)parq(uet)?$".r
val JsonRegex = "^(?i)json$".r
val OrcRegex = "^(?i)orc$".r
import DataSourceCacheType._
val _type = "type"
* create streaming cache client
* @param sparkSession sparkSession in spark environment
* @param checkpointOpt data source checkpoint/cache config option
* @param name data source name
* @param index data source index
* @param tmstCache the same tmstCache instance inside a data source
* @return streaming cache client option
def getClientOpt(sparkSession: SparkSession, checkpointOpt: Option[Map[String, Any]],
name: String, index: Int, tmstCache: TimestampStorage
): Option[StreamingCacheClient] = {
checkpointOpt.flatMap { param =>
try {
val tp = param.getString(_type, "")
val dsCache = tp match {
case ParquetRegex() =>
StreamingCacheParquetClient(sparkSession, param, name, index, tmstCache)
case JsonRegex() =>
StreamingCacheJsonClient(sparkSession, param, name, index, tmstCache)
case OrcRegex() =>
StreamingCacheOrcClient(sparkSession, param, name, index, tmstCache)
case _ =>
StreamingCacheParquetClient(sparkSession, param, name, index, tmstCache)
} catch {
case e: Throwable =>
error("generate data source cache fails")