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OdpSpec.scala
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OdpSpec.scala
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package filodb.cassandra.columnstore
import scala.concurrent.Future
import com.typesafe.config.ConfigFactory
import monix.execution.Scheduler
import monix.reactive.Observable
import org.scalatest.BeforeAndAfterAll
import org.scalatest.concurrent.ScalaFutures
import org.scalatest.time.{Millis, Seconds, Span}
import filodb.cassandra.DefaultFiloSessionProvider
import filodb.core.{MachineMetricsData, TestData}
import filodb.core.binaryrecord2.{BinaryRecordRowReader, RecordBuilder}
import filodb.core.downsample.OffHeapMemory
import filodb.core.memstore._
import filodb.core.memstore.FiloSchedulers.QuerySchedName
import filodb.core.metadata.{Dataset, Schemas}
import filodb.core.query.{ColumnFilter, PlannerParams, QueryConfig, QueryContext, QuerySession}
import filodb.core.query.Filter.Equals
import filodb.core.store.{InMemoryMetaStore, PartKeyRecord, StoreConfig, TimeRangeChunkScan}
import filodb.memory.format.ZeroCopyUTF8String._
import filodb.query.{QueryResponse, QueryResult}
import filodb.query.exec.{InProcessPlanDispatcher, MultiSchemaPartitionsExec}
import org.scalatest.funspec.AnyFunSpec
import org.scalatest.matchers.should.Matchers
class OdpSpec extends AnyFunSpec with Matchers with BeforeAndAfterAll with ScalaFutures {
implicit val defaultPatience = PatienceConfig(timeout = Span(30, Seconds), interval = Span(250, Millis))
val config = ConfigFactory.load("application_test.conf").getConfig("filodb")
implicit val s = monix.execution.Scheduler.Implicits.global
lazy val session = new DefaultFiloSessionProvider(config.getConfig("cassandra")).session
lazy val colStore = new CassandraColumnStore(config, s, session)
val rawDataStoreConfig = StoreConfig(ConfigFactory.parseString( """
|flush-interval = 1h
|shard-mem-size = 1MB
|ingestion-buffer-mem-size = 30MB
""".stripMargin))
val offheapMem = new OffHeapMemory(Seq(Schemas.gauge),
Map.empty, 100, rawDataStoreConfig)
val schemas = Schemas(Schemas.gauge)
val dataset = Dataset("prometheus", Schemas.gauge)
val gaugeName = "my_gauge"
var gaugePartKeyBytes: Array[Byte] = _
val seriesTags = Map("_ws_".utf8 -> "my_ws".utf8, "_ns_".utf8 -> "my_ns".utf8)
val shardStats = new TimeSeriesShardStats(dataset.ref, -1)
val firstSampleTime = 74373042000L
val numSamples = 100
val queryScheduler = Scheduler.fixedPool(s"$QuerySchedName", 3)
// First create the tables in C*
override def beforeAll(): Unit = {
super.beforeAll()
colStore.initialize(dataset.ref, 1).futureValue
colStore.truncate(dataset.ref, 1).futureValue
}
override def afterAll(): Unit = {
super.afterAll()
queryScheduler.shutdown()
offheapMem.free()
}
it ("should write gauge data to cassandra") {
val partBuilder = new RecordBuilder(offheapMem.nativeMemoryManager)
val partKey = partBuilder.partKeyFromObjects(Schemas.gauge, gaugeName, seriesTags)
val part = new TimeSeriesPartition(0, Schemas.gauge, partKey,
0, offheapMem.bufferPools(Schemas.gauge.schemaHash), shardStats,
offheapMem.nativeMemoryManager, 1)
gaugePartKeyBytes = part.partKeyBytes
val rawSamples = Stream.from(0).map { i =>
Seq(firstSampleTime + i, i.toDouble, gaugeName, seriesTags)
}.take(numSamples)
MachineMetricsData.records(dataset, rawSamples).records.foreach { case (base, offset) =>
val rr = new BinaryRecordRowReader(Schemas.gauge.ingestionSchema, base, offset)
part.ingest( System.currentTimeMillis(), rr, offheapMem.blockMemFactory, false, Option.empty)
part.switchBuffers(offheapMem.blockMemFactory, true)
}
val chunks = part.makeFlushChunks(offheapMem.blockMemFactory)
colStore.write(dataset.ref, Observable.fromIterator(chunks)).futureValue
val pk = PartKeyRecord(gaugePartKeyBytes, firstSampleTime, firstSampleTime + numSamples, Some(150))
colStore.writePartKeys(dataset.ref, 0, Observable.now(pk), 259200, 34).futureValue
}
it ("should be able to do full ODP for non concurrent queries") {
val policy = new FixedMaxPartitionsEvictionPolicy(20)
val memStore = new TimeSeriesMemStore(config, colStore, new InMemoryMetaStore(), Some(policy))
try {
memStore.setup(dataset.ref, schemas, 0, TestData.storeConf)
memStore.recoverIndex(dataset.ref, 0).futureValue
memStore.refreshIndexForTesting(dataset.ref)
val rvs = query(memStore).futureValue.asInstanceOf[QueryResult]
rvs.result.size shouldEqual 1
rvs.result.head.rows.toList.size shouldEqual numSamples
} finally {
memStore.shutdown()
}
}
it ("should be able to do full ODP for concurrent queries") {
val policy = new FixedMaxPartitionsEvictionPolicy(20)
val memStore = new TimeSeriesMemStore(config, colStore, new InMemoryMetaStore(), Some(policy))
try {
memStore.setup(dataset.ref, schemas, 0, TestData.storeConf)
memStore.recoverIndex(dataset.ref, 0).futureValue
memStore.refreshIndexForTesting(dataset.ref)
// issue 2 concurrent queries
val res = (0 to 1).map(_ => query(memStore))
// all queries should result in all chunks
res.foreach { r =>
val rvs = r.futureValue.asInstanceOf[QueryResult]
rvs.result.size shouldEqual 1
rvs.result.head.rows.toList.size shouldEqual numSamples
}
} finally {
memStore.shutdown()
}
}
it ("should be able to do partial ODP for non concurrent queries") {
val policy = new FixedMaxPartitionsEvictionPolicy(20)
val memStore = new TimeSeriesMemStore(config, colStore, new InMemoryMetaStore(), Some(policy))
try {
memStore.setup(dataset.ref, schemas, 0, TestData.storeConf)
memStore.recoverIndex(dataset.ref, 0).futureValue
memStore.refreshIndexForTesting(dataset.ref)
// ingrest some more samples to trigger partial odp
val rawSamples = Stream.from(0).map { i =>
Seq(firstSampleTime + numSamples + i, i.toDouble, gaugeName, seriesTags)
}.take(numSamples)
memStore.ingest(dataset.ref, 0, SomeData(MachineMetricsData.records(dataset, rawSamples).records, 300))
val rvs = query(memStore).futureValue.asInstanceOf[QueryResult]
rvs.result.size shouldEqual 1
rvs.result.head.rows.toList.size shouldEqual numSamples * 2
} finally {
memStore.shutdown()
}
}
it ("should be able to do partial ODP for concurrent queries") {
val policy = new FixedMaxPartitionsEvictionPolicy(20)
val memStore = new TimeSeriesMemStore(config, colStore, new InMemoryMetaStore(), Some(policy))
try {
memStore.setup(dataset.ref, schemas, 0, TestData.storeConf)
memStore.recoverIndex(dataset.ref, 0).futureValue
memStore.refreshIndexForTesting(dataset.ref)
// ingrest some more samples to trigger partial odp
val rawSamples = Stream.from(0).map { i =>
Seq(firstSampleTime + numSamples + i, i.toDouble, gaugeName, seriesTags)
}.take(numSamples)
memStore.ingest(dataset.ref, 0, SomeData(MachineMetricsData.records(dataset, rawSamples).records, 300))
// issue 2 concurrent queries
val res = (0 to 1).map(_ => query(memStore))
// all queries should result in all chunks
res.foreach { r =>
val rvs = r.futureValue.asInstanceOf[QueryResult]
rvs.result.size shouldEqual 1
rvs.result.head.rows.toList.size shouldEqual numSamples * 2
}
} finally {
memStore.shutdown()
}
}
def query(memStore: TimeSeriesMemStore): Future[QueryResponse] = {
val colFilters = seriesTags.map { case (t, v) => ColumnFilter(t.toString, Equals(v.toString)) }.toSeq
val queryFilters = colFilters :+ ColumnFilter("_metric_", Equals(gaugeName))
val exec = MultiSchemaPartitionsExec(QueryContext(plannerParams = PlannerParams(sampleLimit = numSamples * 2)),
InProcessPlanDispatcher, dataset.ref, 0, queryFilters, TimeRangeChunkScan(firstSampleTime, firstSampleTime + 2 *
numSamples))
val queryConfig = new QueryConfig(config.getConfig("query"))
val querySession = QuerySession(QueryContext(), queryConfig)
exec.execute(memStore, querySession)(queryScheduler).runAsync(queryScheduler)
}
}