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tech.ytsaurus.spark.launcher.WorkerLogWriter.scala Maven / Gradle / Ivy
package tech.ytsaurus.spark.launcher
import org.slf4j.LoggerFactory
import WorkerLogLauncher.WorkerLogConfig
import tech.ytsaurus.spyt.wrapper.model.{WorkerLogBlock, WorkerLogMeta}
import tech.ytsaurus.spyt.wrapper.model.WorkerLogSchema.{getMetaPath, metaSchema, schema}
import tech.ytsaurus.spyt.wrapper.{LogLazy, YtWrapper}
import tech.ytsaurus.client.{ApiServiceTransaction, CompoundClient}
import tech.ytsaurus.spark.launcher.WorkerLogLauncher.WorkerLogConfig
import java.time.{LocalDate, LocalDateTime}
import scala.collection.mutable
import scala.collection.mutable.ArrayBuffer
class WorkerLogWriter(workerLogConfig: WorkerLogConfig)(implicit yt: CompoundClient) extends LogLazy {
private val log = LoggerFactory.getLogger(getClass)
private val buffer = new ArrayBuffer[WorkerLogBlock](workerLogConfig.bufferSize)
private val workerLogStartDate = LocalDate.now().toString
private var unflushedNewFiles = List.empty[MetaKey]
private val rowCounter = mutable.HashMap.empty[MetaKey, Long]
private val creationTimes = mutable.HashMap.empty[MetaKey, LocalDateTime]
private type MetaKey = (String, String, String)
case object MetaKey {
def apply(block: WorkerLogBlock): MetaKey = (block.appDriver, block.execId, block.stream)
def apply(meta: WorkerLogMeta): MetaKey = (meta.appDriver, meta.execId, meta.stream)
}
def write(block: WorkerLogBlock): Int = {
if (buffer.length == workerLogConfig.bufferSize) {
flush()
}
if (block.inner.message.length > workerLogConfig.ytTableRowLimit) {
block.inner.message.grouped(workerLogConfig.ytTableRowLimit).foldLeft(0) {
case (index, s) =>
write(block.copy(inner = block.inner.copy(message = s), rowId = block.rowId + index))
index + 1
}
} else {
buffer += block
1
}
}
def newEmptyFile(metaKey: MetaKey): Unit = {
unflushedNewFiles = metaKey +: unflushedNewFiles
}
def flush(): Unit = {
if (buffer.nonEmpty || unflushedNewFiles.nonEmpty) {
log.debugLazy(s"Flushing ${buffer.length} new log lines")
val list = YtWrapper.runWithRetry {
transaction =>
// Optimized groupBy
// It works because .flush() will be called after reading of all files once
val newData = buffer.foldRight[List[(MetaKey, List[WorkerLogBlock])]](List.empty) {
case (block, seq) =>
val metaKey = MetaKey(block)
seq match {
case Nil => List((metaKey, List(block)))
case (headKey, headSeq) :: tail =>
if (headKey == metaKey) (headKey, block :: headSeq) :: tail
else (metaKey, List(block)) :: seq
}
}
val newDataMeta = newData.map { case (metaKey, blocks) => (metaKey, blocks.length.toLong) }
val newEmptyFilesMeta = unflushedNewFiles.map((_, 0L))
val unflushedMeta = (newDataMeta ++ newEmptyFilesMeta).map {
case (key@(appDriver, execId, stream), count) =>
WorkerLogMeta(appDriver, execId, stream,
workerLogStartDate, count + rowCounter.getOrElse(key, 0L))
}
val (existing, nonExisting) = unflushedMeta
.partition(meta => rowCounter.contains(MetaKey(meta)))
insertMetas(nonExisting, Some(transaction))
existing.foreach(meta => updateMeta(meta, Some(transaction)))
newData.foreach { case (key, logs) =>
upload(creationTimes(key).toLocalDate, logs, Some(transaction))
}
unflushedMeta
}
list.foreach(meta => rowCounter(MetaKey(meta)) = meta.length)
unflushedNewFiles = List.empty[MetaKey]
buffer.clear()
log.debugLazy("Finished flushing")
}
}
def setCreationTime(appDriver: String, execId: String, logFileName: String, creationTime: LocalDateTime): Unit = {
if (!creationTimes.contains(appDriver, execId, logFileName)) {
creationTimes((appDriver, execId, logFileName)) = creationTime
}
}
private def insertMetas(metas: Seq[WorkerLogMeta], transaction: Option[ApiServiceTransaction]): Unit = {
YtWrapper.insertRows(
getMetaPath(workerLogConfig.tablesPath), metaSchema, metas.map(_.toList), transaction)
}
private def updateMeta(meta: WorkerLogMeta, transaction: Option[ApiServiceTransaction]): Unit = {
YtWrapper.updateRow(
getMetaPath(workerLogConfig.tablesPath), metaSchema, meta.toJavaMap, transaction)
}
private def upload(date: LocalDate, logArray: Seq[WorkerLogBlock], transaction: Option[ApiServiceTransaction]): Unit = {
import scala.collection.JavaConverters._
YtWrapper.createDynTableAndMount(s"${workerLogConfig.tablesPath}/$date", schema,
Map("expiration_time" -> (System.currentTimeMillis() + workerLogConfig.tableTTL.toMillis))
++ workerLogConfig.additionalTableOptions)
YtWrapper.insertRows(
s"${workerLogConfig.tablesPath}/$date",
schema,
logArray.map(l => l.toList).asJava,
transaction
)
}
}