/* * Copyright (c) 2021 AtLarge Research * * Permission is hereby granted, free of charge, to any person obtaining a copy * of this software and associated documentation files (the "Software"), to deal * in the Software without restriction, including without limitation the rights * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell * copies of the Software, and to permit persons to whom the Software is * furnished to do so, subject to the following conditions: * * The above copyright notice and this permission notice shall be included in all * copies or substantial portions of the Software. * * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE * SOFTWARE. */ package org.opendc.trace.util.parquet import mu.KotlinLogging import org.apache.parquet.column.ParquetProperties import org.apache.parquet.hadoop.ParquetFileWriter import org.apache.parquet.hadoop.ParquetWriter import org.apache.parquet.hadoop.api.WriteSupport import org.apache.parquet.hadoop.metadata.CompressionCodecName import java.io.File import java.util.concurrent.ArrayBlockingQueue import java.util.concurrent.BlockingQueue import kotlin.concurrent.thread /** * A writer that writes data in Parquet format. * * @param path The path to the file to write the data to. * @param writeSupport The [WriteSupport] implementation for converting the records to Parquet format. */ public abstract class ParquetDataWriter( path: File, private val writeSupport: WriteSupport, bufferSize: Int = 4096, ) : AutoCloseable { /** * The logging instance to use. */ private val logger = KotlinLogging.logger {} /** * The queue of records to process. */ private val queue: BlockingQueue = ArrayBlockingQueue(bufferSize) /** * An exception to be propagated to the actual writer. */ private var exception: Throwable? = null /** * The thread that is responsible for writing the Parquet records. */ private val writerThread = thread(start = false, name = this.toString()) { val writer = let { val builder = LocalParquetWriter.builder(path.toPath(), writeSupport) .withWriterVersion(ParquetProperties.WriterVersion.PARQUET_2_0) .withCompressionCodec(CompressionCodecName.ZSTD) .withWriteMode(ParquetFileWriter.Mode.OVERWRITE) buildWriter(builder) } val queue = queue val buf = mutableListOf() var shouldStop = false try { while (!shouldStop) { try { writer.write(queue.take()) } catch (e: InterruptedException) { shouldStop = true } if (queue.drainTo(buf) > 0) { for (data in buf) { writer.write(data) } buf.clear() } } } catch (e: Throwable) { logger.error(e) { "Failure in Parquet data writer" } exception = e } finally { writer.close() } } /** * Build the [ParquetWriter] used to write the Parquet files. */ protected open fun buildWriter(builder: LocalParquetWriter.Builder<@UnsafeVariance T>): ParquetWriter<@UnsafeVariance T> { return builder.build() } /** * Write the specified metrics to the database. */ public fun write(data: T) { val exception = exception if (exception != null) { throw IllegalStateException("Writer thread failed", exception) } queue.put(data) } /** * Signal the writer to stop. */ override fun close() { writerThread.interrupt() writerThread.join() } init { writerThread.start() } }