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org.sparklinedata.druid.client.DruidMessages.scala Maven / Gradle / Ivy
/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.sparklinedata.druid.client
import org.joda.time.{DateTime, Interval}
import org.json4s.CustomSerializer
import org.json4s.JsonAST._
import org.sparklinedata.druid.{DruidQueryGranularity, NoneGranularity}
case class ColumnDetails(typ : String, size : Long,
cardinality : Option[Long],
minValue : Option[String],
maxValue : Option[String],
errorMessage : Option[String]) {
def isDimension = cardinality.isDefined
}
case class MetadataResponse(id : String,
intervals : List[String],
columns : Map[String, ColumnDetails],
size : Long,
numRows : Option[Long],
queryGranularity : Option[DruidQueryGranularity]
) {
def getIntervals : List[Interval] = intervals.map(Interval.parse(_))
def timeTicks(ins : List[Interval] ) : Long =
queryGranularity.getOrElse(NoneGranularity).ndv(ins)
def getNumRows : Long = numRows.getOrElse{
val p =
columns.values.filter(c => c.isDimension).map(_.cardinality.get).map(_.toDouble).product
if (p > Long.MaxValue) Long.MaxValue else p.toLong
}
}
case class SegmentInfo(id : String,
intervals : Interval,
size : Long
) {
def this(mr : MetadataResponse) =
this(mr.id, Interval.parse(mr.intervals(0)), mr.size )
}
case class SegmentTimeRange(minTime : DateTime,
maxTime : DateTime)
case class CoordDataSourceInfo(segments : SegmentTimeRange)
sealed trait ResultRow {
def event : Map[String, Any]
}
case class QueryResultRow(version : String,
timestamp : String,
event : Map[String, Any]) extends ResultRow
class QueryResultRowSerializer extends CustomSerializer[QueryResultRow](format => (
{
case JObject(
JField("version", JString(v)) ::
JField("timestamp", JString(t)) ::
JField("event", JObject(obj)) :: Nil
) =>
val m : Map[String, Any] = obj.map(t => (t._1, t._2.values)).toMap
QueryResultRow(v, t, m)
case JObject(
JField("timestamp", JString(t)) ::
JField("result", JObject(obj)) :: Nil
) =>
val m : Map[String, Any] = obj.map(t => (t._1, t._2.values)).toMap
QueryResultRow("", t, m)
case jO@JObject(
JField("dimension", JString(d)) ::
JField("value", v) :: Nil
) =>
val m : Map[String, Any] = Map(d -> v.values)
QueryResultRow("", "", m)
case jO@JObject(
JField("dimension", JString(d)) ::
JField("value", v) ::
JField("count", c) :: Nil
) =>
val m : Map[String, Any] = Map(d -> v.values)
QueryResultRow("", "", m)
},
{
case x: QueryResultRow =>
throw new RuntimeException("QueryRow serialization not supported.")
}
))
case class SelectResultContainer(timestamp: String,
result: SelectResult
)
case class SelectResult(pagingIdentifiers: Map[String, Int],
events: List[SelectResultRow]
)
case class SelectResultRow(segmentId: String,
offset: Int,
event: Map[String, Any]) extends ResultRow
class SelectResultRowSerializer extends CustomSerializer[SelectResultRow](format => ( {
case JObject(
JField("segmentId", JString(v)) ::
JField("offset", JInt(t)) ::
JField("event", JObject(obj)) :: Nil
) =>
val m: Map[String, Any] = obj.map(t => (t._1, t._2.values)).toMap
SelectResultRow(v, t.toInt, m)
}, {
case x: SelectResultRow =>
throw new RuntimeException("SelectResultRow serialization not supported.")
}
)
)
case class TopNResult(timestamp: String,
result: List[TopNResultRow]
)
case class TopNResultRow(event: Map[String, Any]) extends ResultRow
class TopNResultRowSerializer extends CustomSerializer[TopNResultRow](format => ( {
case JObject(obj) =>
val m: Map[String, Any] = obj.map(t => (t._1, t._2.values)).toMap
TopNResultRow(m)
}, {
case x: TopNResultRow =>
throw new RuntimeException("TopNResultRow serialization not supported.")
}
)
)
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