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The Apache Cassandra Project develops a highly scalable second-generation distributed database, bringing together Dynamo's fully distributed design and Bigtable's ColumnFamily-based data model.

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/*
 * 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
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 * Unless required by applicable law or agreed to in writing, software
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package org.apache.cassandra.db.rows;

import java.io.IOException;
import java.util.*;
import java.util.function.Function;

import org.apache.cassandra.cache.IMeasurableMemory;
import org.apache.cassandra.db.*;
import org.apache.cassandra.db.partitions.PartitionStatisticsCollector;
import org.apache.cassandra.io.util.DataInputPlus;
import org.apache.cassandra.io.util.DataOutputPlus;
import org.apache.cassandra.utils.ObjectSizes;

/**
 * Stats used for the encoding of the rows and tombstones of a given source.
 * 

* Those stats are used to optimize the on-wire and on-disk storage of rows. More precisely, * the {@code minTimestamp}, {@code minLocalDeletionTime} and {@code minTTL} stats are used to * delta-encode those information for the sake of vint encoding. *

* Note that due to their use, those stats can suffer to be somewhat inaccurate (the more incurrate * they are, the less effective the storage will be, but provided the stats are not completly wacky, * this shouldn't have too huge an impact on performance) and in fact they will not always be * accurate for reasons explained in {@link SerializationHeader#make}. */ public class EncodingStats implements IMeasurableMemory { // Default values for the timestamp, deletion time and ttl. We use this both for NO_STATS, but also to serialize // an EncodingStats. Basically, we encode the diff of each value of to these epoch, which give values with better vint encoding. public static final long TIMESTAMP_EPOCH; private static final int DELETION_TIME_EPOCH; private static final int TTL_EPOCH = 0; static { // We want a fixed epoch, but that provide small values when substracted from our timestamp and deletion time. // So we somewhat arbitrary use the date of the summit 2015, which should hopefully roughly correspond to 3.0 release. Calendar c = Calendar.getInstance(TimeZone.getTimeZone("GMT-0"), Locale.US); c.set(Calendar.YEAR, 2015); c.set(Calendar.MONTH, Calendar.SEPTEMBER); c.set(Calendar.DAY_OF_MONTH, 22); c.set(Calendar.HOUR_OF_DAY, 0); c.set(Calendar.MINUTE, 0); c.set(Calendar.SECOND, 0); c.set(Calendar.MILLISECOND, 0); TIMESTAMP_EPOCH = c.getTimeInMillis() * 1000; // timestamps should be in microseconds by convention DELETION_TIME_EPOCH = (int)(c.getTimeInMillis() / 1000); // local deletion times are in seconds } // We should use this sparingly obviously public static final EncodingStats NO_STATS = new EncodingStats(TIMESTAMP_EPOCH, DELETION_TIME_EPOCH, TTL_EPOCH); public static final long HEAP_SIZE = ObjectSizes.measure(NO_STATS); public static final Serializer serializer = new Serializer(); public final long minTimestamp; public final long minLocalDeletionTime; public final int minTTL; public EncodingStats(long minTimestamp, long minLocalDeletionTime, int minTTL) { // Note that the exact value of those don't impact correctness, just the efficiency of the encoding. So when we // get a value for timestamp (resp. minLocalDeletionTime) that means 'no object had a timestamp' (resp. 'a local // deletion time'), then what value we store for minTimestamp (resp. minLocalDeletionTime) doesn't matter, and // it's thus more efficient to use our EPOCH numbers, since it will result in a guaranteed 1 byte encoding. this.minTimestamp = minTimestamp == LivenessInfo.NO_TIMESTAMP ? TIMESTAMP_EPOCH : minTimestamp; this.minLocalDeletionTime = minLocalDeletionTime == LivenessInfo.NO_EXPIRATION_TIME ? DELETION_TIME_EPOCH : minLocalDeletionTime; this.minTTL = minTTL; } /** * Merge this stats with another one. *

* The comments of {@link SerializationHeader#make} applies here too, i.e. the result of * merging will be not totally accurate but we can live with that. */ public EncodingStats mergeWith(EncodingStats that) { long minTimestamp = this.minTimestamp == TIMESTAMP_EPOCH ? that.minTimestamp : (that.minTimestamp == TIMESTAMP_EPOCH ? this.minTimestamp : Math.min(this.minTimestamp, that.minTimestamp)); long minDelTime = this.minLocalDeletionTime == DELETION_TIME_EPOCH ? that.minLocalDeletionTime : (that.minLocalDeletionTime == DELETION_TIME_EPOCH ? this.minLocalDeletionTime : Math.min(this.minLocalDeletionTime, that.minLocalDeletionTime)); int minTTL = this.minTTL == TTL_EPOCH ? that.minTTL : (that.minTTL == TTL_EPOCH ? this.minTTL : Math.min(this.minTTL, that.minTTL)); return new EncodingStats(minTimestamp, minDelTime, minTTL); } /** * Merge one or more EncodingStats, that are lazily materialized from some list of arbitrary type by the provided function */ public static > EncodingStats merge(List values, F function) { if (values.size() == 1) return function.apply(values.get(0)); Collector collector = new Collector(); for (int i=0, isize=values.size(); i cell) { updateTimestamp(cell.timestamp()); if (cell.isExpiring()) { updateTTL(cell.ttl()); updateLocalDeletionTime(cell.localDeletionTime()); } else if (cell.isTombstone()) { updateLocalDeletionTime(cell.localDeletionTime()); } } public void update(DeletionTime deletionTime) { if (deletionTime.isLive()) return; updateTimestamp(deletionTime.markedForDeleteAt()); updateLocalDeletionTime(deletionTime.localDeletionTime()); } @Override public void updatePartitionDeletion(DeletionTime dt) { update(dt); } public void updateTimestamp(long timestamp) { isTimestampSet = true; minTimestamp = Math.min(minTimestamp, timestamp); } public void updateLocalDeletionTime(long deletionTime) { isDelTimeSet = true; minDeletionTime = Math.min(minDeletionTime, deletionTime); } public void updateTTL(int ttl) { isTTLSet = true; minTTL = Math.min(minTTL, ttl); } public void updateColumnSetPerRow(long columnSetInRow) { } public void updateHasLegacyCounterShards(boolean hasLegacyCounterShards) { // We don't care about this but this come with PartitionStatisticsCollector } public EncodingStats get() { return new EncodingStats(isTimestampSet ? minTimestamp : TIMESTAMP_EPOCH, isDelTimeSet ? minDeletionTime : DELETION_TIME_EPOCH, isTTLSet ? minTTL : TTL_EPOCH); } public static EncodingStats collect(Row staticRow, Iterator rows, DeletionInfo deletionInfo) { Collector collector = new Collector(); deletionInfo.collectStats(collector); if (!staticRow.isEmpty()) Rows.collectStats(staticRow, collector); while (rows.hasNext()) Rows.collectStats(rows.next(), collector); return collector.get(); } } public static class Serializer { public void serialize(EncodingStats stats, DataOutputPlus out) throws IOException { out.writeUnsignedVInt(stats.minTimestamp - TIMESTAMP_EPOCH); out.writeUnsignedVInt32((int)(stats.minLocalDeletionTime - DELETION_TIME_EPOCH)); out.writeUnsignedVInt32(stats.minTTL - TTL_EPOCH); } public int serializedSize(EncodingStats stats) { return TypeSizes.sizeofUnsignedVInt(stats.minTimestamp - TIMESTAMP_EPOCH) + TypeSizes.sizeofUnsignedVInt(stats.minLocalDeletionTime - DELETION_TIME_EPOCH) + TypeSizes.sizeofUnsignedVInt(stats.minTTL - TTL_EPOCH); } public EncodingStats deserialize(DataInputPlus in) throws IOException { long minTimestamp = in.readUnsignedVInt() + TIMESTAMP_EPOCH; long minLocalDeletionTime = in.readUnsignedVInt32() + DELETION_TIME_EPOCH; int minTTL = (int)in.readUnsignedVInt32() + TTL_EPOCH; return new EncodingStats(minTimestamp, minLocalDeletionTime, minTTL); } } }





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