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// Copyright (c) 2011-present, Facebook, Inc. All rights reserved.
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// This source code is licensed under both the GPLv2 (found in the
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// COPYING file in the root directory) and Apache 2.0 License
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// (found in the LICENSE.Apache file in the root directory).
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//
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#include <stdio.h>
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#include <algorithm>
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#include <set>
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#include <string>
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#include <unordered_set>
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#include <utility>
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#include <vector>
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#include "db/dbformat.h"
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#include "db/memtable.h"
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#include "db/write_batch_internal.h"
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#include "rocksdb/db.h"
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#include "rocksdb/env.h"
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#include "rocksdb/iterator.h"
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#include "rocksdb/slice_transform.h"
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#include "rocksdb/table.h"
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#include "table/block_based/block.h"
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#include "table/block_based/block_builder.h"
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#include "table/format.h"
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#include "test_util/testharness.h"
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#include "test_util/testutil.h"
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#include "util/random.h"
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namespace ROCKSDB_NAMESPACE {
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std::string GenerateInternalKey(int primary_key, int secondary_key,
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int padding_size, Random *rnd) {
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char buf[50];
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char *p = &buf[0];
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snprintf(buf, sizeof(buf), "%6d%4d", primary_key, secondary_key);
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std::string k(p);
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if (padding_size) {
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k += rnd->RandomString(padding_size);
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}
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AppendInternalKeyFooter(&k, 0 /* seqno */, kTypeValue);
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return k;
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}
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// Generate random key value pairs.
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// The generated key will be sorted. You can tune the parameters to generated
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// different kinds of test key/value pairs for different scenario.
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void GenerateRandomKVs(std::vector<std::string> *keys,
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std::vector<std::string> *values, const int from,
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const int len, const int step = 1,
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const int padding_size = 0,
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const int keys_share_prefix = 1) {
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Random rnd(302);
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// generate different prefix
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for (int i = from; i < from + len; i += step) {
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// generating keys that shares the prefix
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for (int j = 0; j < keys_share_prefix; ++j) {
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// `DataBlockIter` assumes it reads only internal keys.
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keys->emplace_back(GenerateInternalKey(i, j, padding_size, &rnd));
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// 100 bytes values
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values->emplace_back(rnd.RandomString(100));
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}
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}
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}
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class BlockTest : public testing::Test {};
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// block test
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TEST_F(BlockTest, SimpleTest) {
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Random rnd(301);
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Options options = Options();
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std::vector<std::string> keys;
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std::vector<std::string> values;
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BlockBuilder builder(16);
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int num_records = 100000;
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GenerateRandomKVs(&keys, &values, 0, num_records);
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// add a bunch of records to a block
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for (int i = 0; i < num_records; i++) {
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builder.Add(keys[i], values[i]);
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}
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// read serialized contents of the block
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Slice rawblock = builder.Finish();
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// create block reader
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BlockContents contents;
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contents.data = rawblock;
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Block reader(std::move(contents));
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// read contents of block sequentially
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int count = 0;
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InternalIterator *iter =
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reader.NewDataIterator(options.comparator, kDisableGlobalSequenceNumber);
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for (iter->SeekToFirst(); iter->Valid(); count++, iter->Next()) {
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// read kv from block
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Slice k = iter->key();
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Slice v = iter->value();
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// compare with lookaside array
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ASSERT_EQ(k.ToString().compare(keys[count]), 0);
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ASSERT_EQ(v.ToString().compare(values[count]), 0);
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}
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delete iter;
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// read block contents randomly
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iter =
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reader.NewDataIterator(options.comparator, kDisableGlobalSequenceNumber);
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for (int i = 0; i < num_records; i++) {
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// find a random key in the lookaside array
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int index = rnd.Uniform(num_records);
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Slice k(keys[index]);
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// search in block for this key
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iter->Seek(k);
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ASSERT_TRUE(iter->Valid());
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Slice v = iter->value();
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ASSERT_EQ(v.ToString().compare(values[index]), 0);
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}
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delete iter;
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}
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// return the block contents
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BlockContents GetBlockContents(std::unique_ptr<BlockBuilder> *builder,
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const std::vector<std::string> &keys,
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const std::vector<std::string> &values,
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const int /*prefix_group_size*/ = 1) {
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builder->reset(new BlockBuilder(1 /* restart interval */));
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// Add only half of the keys
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for (size_t i = 0; i < keys.size(); ++i) {
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(*builder)->Add(keys[i], values[i]);
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}
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Slice rawblock = (*builder)->Finish();
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BlockContents contents;
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contents.data = rawblock;
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return contents;
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}
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void CheckBlockContents(BlockContents contents, const int max_key,
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const std::vector<std::string> &keys,
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const std::vector<std::string> &values) {
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const size_t prefix_size = 6;
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// create block reader
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BlockContents contents_ref(contents.data);
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Block reader1(std::move(contents));
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Block reader2(std::move(contents_ref));
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std::unique_ptr<const SliceTransform> prefix_extractor(
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NewFixedPrefixTransform(prefix_size));
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std::unique_ptr<InternalIterator> regular_iter(reader2.NewDataIterator(
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BytewiseComparator(), kDisableGlobalSequenceNumber));
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// Seek existent keys
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for (size_t i = 0; i < keys.size(); i++) {
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regular_iter->Seek(keys[i]);
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ASSERT_OK(regular_iter->status());
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ASSERT_TRUE(regular_iter->Valid());
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Slice v = regular_iter->value();
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ASSERT_EQ(v.ToString().compare(values[i]), 0);
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}
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// Seek non-existent keys.
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// For hash index, if no key with a given prefix is not found, iterator will
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// simply be set as invalid; whereas the binary search based iterator will
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// return the one that is closest.
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for (int i = 1; i < max_key - 1; i += 2) {
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// `DataBlockIter` assumes its APIs receive only internal keys.
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auto key = GenerateInternalKey(i, 0, 0, nullptr);
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regular_iter->Seek(key);
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ASSERT_TRUE(regular_iter->Valid());
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}
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}
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// In this test case, no two key share same prefix.
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TEST_F(BlockTest, SimpleIndexHash) {
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const int kMaxKey = 100000;
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std::vector<std::string> keys;
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std::vector<std::string> values;
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GenerateRandomKVs(&keys, &values, 0 /* first key id */,
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kMaxKey /* last key id */, 2 /* step */,
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8 /* padding size (8 bytes randomly generated suffix) */);
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std::unique_ptr<BlockBuilder> builder;
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auto contents = GetBlockContents(&builder, keys, values);
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CheckBlockContents(std::move(contents), kMaxKey, keys, values);
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}
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TEST_F(BlockTest, IndexHashWithSharedPrefix) {
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const int kMaxKey = 100000;
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// for each prefix, there will be 5 keys starts with it.
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const int kPrefixGroup = 5;
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std::vector<std::string> keys;
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std::vector<std::string> values;
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// Generate keys with same prefix.
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GenerateRandomKVs(&keys, &values, 0, // first key id
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kMaxKey, // last key id
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2, // step
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10, // padding size,
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kPrefixGroup);
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std::unique_ptr<BlockBuilder> builder;
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auto contents = GetBlockContents(&builder, keys, values, kPrefixGroup);
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CheckBlockContents(std::move(contents), kMaxKey, keys, values);
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}
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// A slow and accurate version of BlockReadAmpBitmap that simply store
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// all the marked ranges in a set.
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class BlockReadAmpBitmapSlowAndAccurate {
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public:
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void Mark(size_t start_offset, size_t end_offset) {
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assert(end_offset >= start_offset);
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marked_ranges_.emplace(end_offset, start_offset);
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}
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void ResetCheckSequence() { iter_valid_ = false; }
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// Return true if any byte in this range was Marked
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// This does linear search from the previous position. When calling
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// multiple times, `offset` needs to be incremental to get correct results.
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// Call ResetCheckSequence() to reset it.
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unbiase readamp bitmap
Summary:
Consider BlockReadAmpBitmap with bytes_per_bit = 32. Suppose bytes [a, b) were used, while bytes [a-32, a)
and [b+1, b+33) weren't used; more formally, the union of ranges passed to BlockReadAmpBitmap::Mark() contains [a, b) and doesn't intersect with [a-32, a) and [b+1, b+33). Then bits [floor(a/32), ceil(b/32)] will be set, and so the number of useful bytes will be estimated as (ceil(b/32) - floor(a/32)) * 32, which is on average equal to b-a+31.
An extreme example: if we use 1 byte from each block, it'll be counted as 32 bytes from each block.
It's easy to remove this bias by slightly changing the semantics of the bitmap. Currently each bit represents a byte range [i*32, (i+1)*32).
This diff makes each bit represent a single byte: i*32 + X, where X is a random number in [0, 31] generated when bitmap is created. So, e.g., if you read a single byte at random, with probability 31/32 it won't be counted at all, and with probability 1/32 it will be counted as 32 bytes; so, on average it's counted as 1 byte.
*But there is one exception: the last bit will always set with the old way.*
(*) - assuming read_amp_bytes_per_bit = 32.
Closes https://github.com/facebook/rocksdb/pull/2259
Differential Revision: D5035652
Pulled By: lightmark
fbshipit-source-id: bd98b1b9b49fbe61f9e3781d07f624e3cbd92356
8 years ago
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bool IsPinMarked(size_t offset) {
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if (iter_valid_) {
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// Has existing iterator, try linear search from
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// the iterator.
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for (int i = 0; i < 64; i++) {
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if (offset < iter_->second) {
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return false;
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}
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if (offset <= iter_->first) {
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return true;
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}
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iter_++;
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if (iter_ == marked_ranges_.end()) {
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iter_valid_ = false;
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return false;
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}
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}
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}
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// Initial call or have linear searched too many times.
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// Do binary search.
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iter_ = marked_ranges_.lower_bound(
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unbiase readamp bitmap
Summary:
Consider BlockReadAmpBitmap with bytes_per_bit = 32. Suppose bytes [a, b) were used, while bytes [a-32, a)
and [b+1, b+33) weren't used; more formally, the union of ranges passed to BlockReadAmpBitmap::Mark() contains [a, b) and doesn't intersect with [a-32, a) and [b+1, b+33). Then bits [floor(a/32), ceil(b/32)] will be set, and so the number of useful bytes will be estimated as (ceil(b/32) - floor(a/32)) * 32, which is on average equal to b-a+31.
An extreme example: if we use 1 byte from each block, it'll be counted as 32 bytes from each block.
It's easy to remove this bias by slightly changing the semantics of the bitmap. Currently each bit represents a byte range [i*32, (i+1)*32).
This diff makes each bit represent a single byte: i*32 + X, where X is a random number in [0, 31] generated when bitmap is created. So, e.g., if you read a single byte at random, with probability 31/32 it won't be counted at all, and with probability 1/32 it will be counted as 32 bytes; so, on average it's counted as 1 byte.
*But there is one exception: the last bit will always set with the old way.*
(*) - assuming read_amp_bytes_per_bit = 32.
Closes https://github.com/facebook/rocksdb/pull/2259
Differential Revision: D5035652
Pulled By: lightmark
fbshipit-source-id: bd98b1b9b49fbe61f9e3781d07f624e3cbd92356
8 years ago
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std::make_pair(offset, static_cast<size_t>(0)));
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if (iter_ == marked_ranges_.end()) {
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iter_valid_ = false;
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return false;
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}
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iter_valid_ = true;
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return offset <= iter_->first && offset >= iter_->second;
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}
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private:
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std::set<std::pair<size_t, size_t>> marked_ranges_;
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std::set<std::pair<size_t, size_t>>::iterator iter_;
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bool iter_valid_ = false;
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};
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TEST_F(BlockTest, BlockReadAmpBitmap) {
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unbiase readamp bitmap
Summary:
Consider BlockReadAmpBitmap with bytes_per_bit = 32. Suppose bytes [a, b) were used, while bytes [a-32, a)
and [b+1, b+33) weren't used; more formally, the union of ranges passed to BlockReadAmpBitmap::Mark() contains [a, b) and doesn't intersect with [a-32, a) and [b+1, b+33). Then bits [floor(a/32), ceil(b/32)] will be set, and so the number of useful bytes will be estimated as (ceil(b/32) - floor(a/32)) * 32, which is on average equal to b-a+31.
An extreme example: if we use 1 byte from each block, it'll be counted as 32 bytes from each block.
It's easy to remove this bias by slightly changing the semantics of the bitmap. Currently each bit represents a byte range [i*32, (i+1)*32).
This diff makes each bit represent a single byte: i*32 + X, where X is a random number in [0, 31] generated when bitmap is created. So, e.g., if you read a single byte at random, with probability 31/32 it won't be counted at all, and with probability 1/32 it will be counted as 32 bytes; so, on average it's counted as 1 byte.
*But there is one exception: the last bit will always set with the old way.*
(*) - assuming read_amp_bytes_per_bit = 32.
Closes https://github.com/facebook/rocksdb/pull/2259
Differential Revision: D5035652
Pulled By: lightmark
fbshipit-source-id: bd98b1b9b49fbe61f9e3781d07f624e3cbd92356
8 years ago
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uint32_t pin_offset = 0;
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SyncPoint::GetInstance()->SetCallBack(
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"BlockReadAmpBitmap:rnd", [&pin_offset](void *arg) {
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pin_offset = *(static_cast<uint32_t *>(arg));
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});
|
unbiase readamp bitmap
Summary:
Consider BlockReadAmpBitmap with bytes_per_bit = 32. Suppose bytes [a, b) were used, while bytes [a-32, a)
and [b+1, b+33) weren't used; more formally, the union of ranges passed to BlockReadAmpBitmap::Mark() contains [a, b) and doesn't intersect with [a-32, a) and [b+1, b+33). Then bits [floor(a/32), ceil(b/32)] will be set, and so the number of useful bytes will be estimated as (ceil(b/32) - floor(a/32)) * 32, which is on average equal to b-a+31.
An extreme example: if we use 1 byte from each block, it'll be counted as 32 bytes from each block.
It's easy to remove this bias by slightly changing the semantics of the bitmap. Currently each bit represents a byte range [i*32, (i+1)*32).
This diff makes each bit represent a single byte: i*32 + X, where X is a random number in [0, 31] generated when bitmap is created. So, e.g., if you read a single byte at random, with probability 31/32 it won't be counted at all, and with probability 1/32 it will be counted as 32 bytes; so, on average it's counted as 1 byte.
*But there is one exception: the last bit will always set with the old way.*
(*) - assuming read_amp_bytes_per_bit = 32.
Closes https://github.com/facebook/rocksdb/pull/2259
Differential Revision: D5035652
Pulled By: lightmark
fbshipit-source-id: bd98b1b9b49fbe61f9e3781d07f624e3cbd92356
8 years ago
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SyncPoint::GetInstance()->EnableProcessing();
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std::vector<size_t> block_sizes = {
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1, // 1 byte
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32, // 32 bytes
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61, // 61 bytes
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64, // 64 bytes
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512, // 0.5 KB
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1024, // 1 KB
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1024 * 4, // 4 KB
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1024 * 10, // 10 KB
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1024 * 50, // 50 KB
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1024 * 1024 * 4, // 5 MB
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777,
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124653,
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};
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const size_t kBytesPerBit = 64;
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Random rnd(301);
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for (size_t block_size : block_sizes) {
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std::shared_ptr<Statistics> stats = ROCKSDB_NAMESPACE::CreateDBStatistics();
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BlockReadAmpBitmap read_amp_bitmap(block_size, kBytesPerBit, stats.get());
|
|
|
|
BlockReadAmpBitmapSlowAndAccurate read_amp_slow_and_accurate;
|
|
|
|
|
|
|
|
size_t needed_bits = (block_size / kBytesPerBit);
|
|
|
|
if (block_size % kBytesPerBit != 0) {
|
|
|
|
needed_bits++;
|
|
|
|
}
|
|
|
|
|
unbiase readamp bitmap
Summary:
Consider BlockReadAmpBitmap with bytes_per_bit = 32. Suppose bytes [a, b) were used, while bytes [a-32, a)
and [b+1, b+33) weren't used; more formally, the union of ranges passed to BlockReadAmpBitmap::Mark() contains [a, b) and doesn't intersect with [a-32, a) and [b+1, b+33). Then bits [floor(a/32), ceil(b/32)] will be set, and so the number of useful bytes will be estimated as (ceil(b/32) - floor(a/32)) * 32, which is on average equal to b-a+31.
An extreme example: if we use 1 byte from each block, it'll be counted as 32 bytes from each block.
It's easy to remove this bias by slightly changing the semantics of the bitmap. Currently each bit represents a byte range [i*32, (i+1)*32).
This diff makes each bit represent a single byte: i*32 + X, where X is a random number in [0, 31] generated when bitmap is created. So, e.g., if you read a single byte at random, with probability 31/32 it won't be counted at all, and with probability 1/32 it will be counted as 32 bytes; so, on average it's counted as 1 byte.
*But there is one exception: the last bit will always set with the old way.*
(*) - assuming read_amp_bytes_per_bit = 32.
Closes https://github.com/facebook/rocksdb/pull/2259
Differential Revision: D5035652
Pulled By: lightmark
fbshipit-source-id: bd98b1b9b49fbe61f9e3781d07f624e3cbd92356
8 years ago
|
|
|
ASSERT_EQ(stats->getTickerCount(READ_AMP_TOTAL_READ_BYTES), block_size);
|
|
|
|
|
|
|
|
// Generate some random entries
|
|
|
|
std::vector<size_t> random_entry_offsets;
|
|
|
|
for (int i = 0; i < 1000; i++) {
|
|
|
|
random_entry_offsets.push_back(rnd.Next() % block_size);
|
|
|
|
}
|
|
|
|
std::sort(random_entry_offsets.begin(), random_entry_offsets.end());
|
|
|
|
auto it =
|
|
|
|
std::unique(random_entry_offsets.begin(), random_entry_offsets.end());
|
|
|
|
random_entry_offsets.resize(
|
|
|
|
std::distance(random_entry_offsets.begin(), it));
|
|
|
|
|
|
|
|
std::vector<std::pair<size_t, size_t>> random_entries;
|
|
|
|
for (size_t i = 0; i < random_entry_offsets.size(); i++) {
|
|
|
|
size_t entry_start = random_entry_offsets[i];
|
|
|
|
size_t entry_end;
|
|
|
|
if (i + 1 < random_entry_offsets.size()) {
|
|
|
|
entry_end = random_entry_offsets[i + 1] - 1;
|
|
|
|
} else {
|
|
|
|
entry_end = block_size - 1;
|
|
|
|
}
|
|
|
|
random_entries.emplace_back(entry_start, entry_end);
|
|
|
|
}
|
|
|
|
|
|
|
|
for (size_t i = 0; i < random_entries.size(); i++) {
|
|
|
|
read_amp_slow_and_accurate.ResetCheckSequence();
|
|
|
|
auto ¤t_entry = random_entries[rnd.Next() % random_entries.size()];
|
|
|
|
|
|
|
|
read_amp_bitmap.Mark(static_cast<uint32_t>(current_entry.first),
|
|
|
|
static_cast<uint32_t>(current_entry.second));
|
|
|
|
read_amp_slow_and_accurate.Mark(current_entry.first,
|
|
|
|
current_entry.second);
|
|
|
|
|
|
|
|
size_t total_bits = 0;
|
unbiase readamp bitmap
Summary:
Consider BlockReadAmpBitmap with bytes_per_bit = 32. Suppose bytes [a, b) were used, while bytes [a-32, a)
and [b+1, b+33) weren't used; more formally, the union of ranges passed to BlockReadAmpBitmap::Mark() contains [a, b) and doesn't intersect with [a-32, a) and [b+1, b+33). Then bits [floor(a/32), ceil(b/32)] will be set, and so the number of useful bytes will be estimated as (ceil(b/32) - floor(a/32)) * 32, which is on average equal to b-a+31.
An extreme example: if we use 1 byte from each block, it'll be counted as 32 bytes from each block.
It's easy to remove this bias by slightly changing the semantics of the bitmap. Currently each bit represents a byte range [i*32, (i+1)*32).
This diff makes each bit represent a single byte: i*32 + X, where X is a random number in [0, 31] generated when bitmap is created. So, e.g., if you read a single byte at random, with probability 31/32 it won't be counted at all, and with probability 1/32 it will be counted as 32 bytes; so, on average it's counted as 1 byte.
*But there is one exception: the last bit will always set with the old way.*
(*) - assuming read_amp_bytes_per_bit = 32.
Closes https://github.com/facebook/rocksdb/pull/2259
Differential Revision: D5035652
Pulled By: lightmark
fbshipit-source-id: bd98b1b9b49fbe61f9e3781d07f624e3cbd92356
8 years ago
|
|
|
for (size_t bit_idx = 0; bit_idx < needed_bits; bit_idx++) {
|
|
|
|
total_bits += read_amp_slow_and_accurate.IsPinMarked(
|
|
|
|
bit_idx * kBytesPerBit + pin_offset);
|
|
|
|
}
|
|
|
|
size_t expected_estimate_useful = total_bits * kBytesPerBit;
|
|
|
|
size_t got_estimate_useful =
|
|
|
|
stats->getTickerCount(READ_AMP_ESTIMATE_USEFUL_BYTES);
|
|
|
|
ASSERT_EQ(expected_estimate_useful, got_estimate_useful);
|
|
|
|
}
|
|
|
|
}
|
unbiase readamp bitmap
Summary:
Consider BlockReadAmpBitmap with bytes_per_bit = 32. Suppose bytes [a, b) were used, while bytes [a-32, a)
and [b+1, b+33) weren't used; more formally, the union of ranges passed to BlockReadAmpBitmap::Mark() contains [a, b) and doesn't intersect with [a-32, a) and [b+1, b+33). Then bits [floor(a/32), ceil(b/32)] will be set, and so the number of useful bytes will be estimated as (ceil(b/32) - floor(a/32)) * 32, which is on average equal to b-a+31.
An extreme example: if we use 1 byte from each block, it'll be counted as 32 bytes from each block.
It's easy to remove this bias by slightly changing the semantics of the bitmap. Currently each bit represents a byte range [i*32, (i+1)*32).
This diff makes each bit represent a single byte: i*32 + X, where X is a random number in [0, 31] generated when bitmap is created. So, e.g., if you read a single byte at random, with probability 31/32 it won't be counted at all, and with probability 1/32 it will be counted as 32 bytes; so, on average it's counted as 1 byte.
*But there is one exception: the last bit will always set with the old way.*
(*) - assuming read_amp_bytes_per_bit = 32.
Closes https://github.com/facebook/rocksdb/pull/2259
Differential Revision: D5035652
Pulled By: lightmark
fbshipit-source-id: bd98b1b9b49fbe61f9e3781d07f624e3cbd92356
8 years ago
|
|
|
SyncPoint::GetInstance()->DisableProcessing();
|
|
|
|
SyncPoint::GetInstance()->ClearAllCallBacks();
|
|
|
|
}
|
|
|
|
|
|
|
|
TEST_F(BlockTest, BlockWithReadAmpBitmap) {
|
|
|
|
Random rnd(301);
|
|
|
|
Options options = Options();
|
|
|
|
|
|
|
|
std::vector<std::string> keys;
|
|
|
|
std::vector<std::string> values;
|
|
|
|
BlockBuilder builder(16);
|
|
|
|
int num_records = 10000;
|
|
|
|
|
|
|
|
GenerateRandomKVs(&keys, &values, 0, num_records, 1);
|
|
|
|
// add a bunch of records to a block
|
|
|
|
for (int i = 0; i < num_records; i++) {
|
|
|
|
builder.Add(keys[i], values[i]);
|
|
|
|
}
|
|
|
|
|
|
|
|
Slice rawblock = builder.Finish();
|
|
|
|
const size_t kBytesPerBit = 8;
|
|
|
|
|
|
|
|
// Read the block sequentially using Next()
|
|
|
|
{
|
|
|
|
std::shared_ptr<Statistics> stats = ROCKSDB_NAMESPACE::CreateDBStatistics();
|
|
|
|
|
|
|
|
// create block reader
|
|
|
|
BlockContents contents;
|
|
|
|
contents.data = rawblock;
|
|
|
|
Block reader(std::move(contents), kBytesPerBit, stats.get());
|
|
|
|
|
|
|
|
// read contents of block sequentially
|
|
|
|
size_t read_bytes = 0;
|
Add an option to put first key of each sst block in the index (#5289)
Summary:
The first key is used to defer reading the data block until this file gets to the top of merging iterator's heap. For short range scans, most files never make it to the top of the heap, so this change can reduce read amplification by a lot sometimes.
Consider the following workload. There are a few data streams (we'll be calling them "logs"), each stream consisting of a sequence of blobs (we'll be calling them "records"). Each record is identified by log ID and a sequence number within the log. RocksDB key is concatenation of log ID and sequence number (big endian). Reads are mostly relatively short range scans, each within a single log. Writes are mostly sequential for each log, but writes to different logs are randomly interleaved. Compactions are disabled; instead, when we accumulate a few tens of sst files, we create a new column family and start writing to it.
So, a typical sst file consists of a few ranges of blocks, each range corresponding to one log ID (we use FlushBlockPolicy to cut blocks at log boundaries). A typical read would go like this. First, iterator Seek() reads one block from each sst file. Then a series of Next()s move through one sst file (since writes to each log are mostly sequential) until the subiterator reaches the end of this log in this sst file; then Next() switches to the next sst file and reads sequentially from that, and so on. Often a range scan will only return records from a small number of blocks in small number of sst files; in this case, the cost of initial Seek() reading one block from each file may be bigger than the cost of reading the actually useful blocks.
Neither iterate_upper_bound nor bloom filters can prevent reading one block from each file in Seek(). But this PR can: if the index contains first key from each block, we don't have to read the block until this block actually makes it to the top of merging iterator's heap, so for short range scans we won't read any blocks from most of the sst files.
This PR does the deferred block loading inside value() call. This is not ideal: there's no good way to report an IO error from inside value(). As discussed with siying offline, it would probably be better to change InternalIterator's interface to explicitly fetch deferred value and get status. I'll do it in a separate PR.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/5289
Differential Revision: D15256423
Pulled By: al13n321
fbshipit-source-id: 750e4c39ce88e8d41662f701cf6275d9388ba46a
5 years ago
|
|
|
DataBlockIter *iter = reader.NewDataIterator(
|
|
|
|
options.comparator, kDisableGlobalSequenceNumber, nullptr, stats.get());
|
|
|
|
for (iter->SeekToFirst(); iter->Valid(); iter->Next()) {
|
|
|
|
iter->value();
|
|
|
|
read_bytes += iter->TEST_CurrentEntrySize();
|
|
|
|
|
|
|
|
double semi_acc_read_amp =
|
|
|
|
static_cast<double>(read_bytes) / rawblock.size();
|
|
|
|
double read_amp = static_cast<double>(stats->getTickerCount(
|
|
|
|
READ_AMP_ESTIMATE_USEFUL_BYTES)) /
|
|
|
|
stats->getTickerCount(READ_AMP_TOTAL_READ_BYTES);
|
|
|
|
|
|
|
|
// Error in read amplification will be less than 1% if we are reading
|
|
|
|
// sequentially
|
|
|
|
double error_pct = fabs(semi_acc_read_amp - read_amp) * 100;
|
|
|
|
EXPECT_LT(error_pct, 1);
|
|
|
|
}
|
|
|
|
|
|
|
|
delete iter;
|
|
|
|
}
|
|
|
|
|
|
|
|
// Read the block sequentially using Seek()
|
|
|
|
{
|
|
|
|
std::shared_ptr<Statistics> stats = ROCKSDB_NAMESPACE::CreateDBStatistics();
|
|
|
|
|
|
|
|
// create block reader
|
|
|
|
BlockContents contents;
|
|
|
|
contents.data = rawblock;
|
|
|
|
Block reader(std::move(contents), kBytesPerBit, stats.get());
|
|
|
|
|
|
|
|
size_t read_bytes = 0;
|
Add an option to put first key of each sst block in the index (#5289)
Summary:
The first key is used to defer reading the data block until this file gets to the top of merging iterator's heap. For short range scans, most files never make it to the top of the heap, so this change can reduce read amplification by a lot sometimes.
Consider the following workload. There are a few data streams (we'll be calling them "logs"), each stream consisting of a sequence of blobs (we'll be calling them "records"). Each record is identified by log ID and a sequence number within the log. RocksDB key is concatenation of log ID and sequence number (big endian). Reads are mostly relatively short range scans, each within a single log. Writes are mostly sequential for each log, but writes to different logs are randomly interleaved. Compactions are disabled; instead, when we accumulate a few tens of sst files, we create a new column family and start writing to it.
So, a typical sst file consists of a few ranges of blocks, each range corresponding to one log ID (we use FlushBlockPolicy to cut blocks at log boundaries). A typical read would go like this. First, iterator Seek() reads one block from each sst file. Then a series of Next()s move through one sst file (since writes to each log are mostly sequential) until the subiterator reaches the end of this log in this sst file; then Next() switches to the next sst file and reads sequentially from that, and so on. Often a range scan will only return records from a small number of blocks in small number of sst files; in this case, the cost of initial Seek() reading one block from each file may be bigger than the cost of reading the actually useful blocks.
Neither iterate_upper_bound nor bloom filters can prevent reading one block from each file in Seek(). But this PR can: if the index contains first key from each block, we don't have to read the block until this block actually makes it to the top of merging iterator's heap, so for short range scans we won't read any blocks from most of the sst files.
This PR does the deferred block loading inside value() call. This is not ideal: there's no good way to report an IO error from inside value(). As discussed with siying offline, it would probably be better to change InternalIterator's interface to explicitly fetch deferred value and get status. I'll do it in a separate PR.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/5289
Differential Revision: D15256423
Pulled By: al13n321
fbshipit-source-id: 750e4c39ce88e8d41662f701cf6275d9388ba46a
5 years ago
|
|
|
DataBlockIter *iter = reader.NewDataIterator(
|
|
|
|
options.comparator, kDisableGlobalSequenceNumber, nullptr, stats.get());
|
|
|
|
for (int i = 0; i < num_records; i++) {
|
|
|
|
Slice k(keys[i]);
|
|
|
|
|
|
|
|
// search in block for this key
|
|
|
|
iter->Seek(k);
|
|
|
|
iter->value();
|
|
|
|
read_bytes += iter->TEST_CurrentEntrySize();
|
|
|
|
|
|
|
|
double semi_acc_read_amp =
|
|
|
|
static_cast<double>(read_bytes) / rawblock.size();
|
|
|
|
double read_amp = static_cast<double>(stats->getTickerCount(
|
|
|
|
READ_AMP_ESTIMATE_USEFUL_BYTES)) /
|
|
|
|
stats->getTickerCount(READ_AMP_TOTAL_READ_BYTES);
|
|
|
|
|
|
|
|
// Error in read amplification will be less than 1% if we are reading
|
|
|
|
// sequentially
|
|
|
|
double error_pct = fabs(semi_acc_read_amp - read_amp) * 100;
|
|
|
|
EXPECT_LT(error_pct, 1);
|
|
|
|
}
|
|
|
|
delete iter;
|
|
|
|
}
|
|
|
|
|
|
|
|
// Read the block randomly
|
|
|
|
{
|
|
|
|
std::shared_ptr<Statistics> stats = ROCKSDB_NAMESPACE::CreateDBStatistics();
|
|
|
|
|
|
|
|
// create block reader
|
|
|
|
BlockContents contents;
|
|
|
|
contents.data = rawblock;
|
|
|
|
Block reader(std::move(contents), kBytesPerBit, stats.get());
|
|
|
|
|
|
|
|
size_t read_bytes = 0;
|
Add an option to put first key of each sst block in the index (#5289)
Summary:
The first key is used to defer reading the data block until this file gets to the top of merging iterator's heap. For short range scans, most files never make it to the top of the heap, so this change can reduce read amplification by a lot sometimes.
Consider the following workload. There are a few data streams (we'll be calling them "logs"), each stream consisting of a sequence of blobs (we'll be calling them "records"). Each record is identified by log ID and a sequence number within the log. RocksDB key is concatenation of log ID and sequence number (big endian). Reads are mostly relatively short range scans, each within a single log. Writes are mostly sequential for each log, but writes to different logs are randomly interleaved. Compactions are disabled; instead, when we accumulate a few tens of sst files, we create a new column family and start writing to it.
So, a typical sst file consists of a few ranges of blocks, each range corresponding to one log ID (we use FlushBlockPolicy to cut blocks at log boundaries). A typical read would go like this. First, iterator Seek() reads one block from each sst file. Then a series of Next()s move through one sst file (since writes to each log are mostly sequential) until the subiterator reaches the end of this log in this sst file; then Next() switches to the next sst file and reads sequentially from that, and so on. Often a range scan will only return records from a small number of blocks in small number of sst files; in this case, the cost of initial Seek() reading one block from each file may be bigger than the cost of reading the actually useful blocks.
Neither iterate_upper_bound nor bloom filters can prevent reading one block from each file in Seek(). But this PR can: if the index contains first key from each block, we don't have to read the block until this block actually makes it to the top of merging iterator's heap, so for short range scans we won't read any blocks from most of the sst files.
This PR does the deferred block loading inside value() call. This is not ideal: there's no good way to report an IO error from inside value(). As discussed with siying offline, it would probably be better to change InternalIterator's interface to explicitly fetch deferred value and get status. I'll do it in a separate PR.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/5289
Differential Revision: D15256423
Pulled By: al13n321
fbshipit-source-id: 750e4c39ce88e8d41662f701cf6275d9388ba46a
5 years ago
|
|
|
DataBlockIter *iter = reader.NewDataIterator(
|
|
|
|
options.comparator, kDisableGlobalSequenceNumber, nullptr, stats.get());
|
|
|
|
std::unordered_set<int> read_keys;
|
|
|
|
for (int i = 0; i < num_records; i++) {
|
|
|
|
int index = rnd.Uniform(num_records);
|
|
|
|
Slice k(keys[index]);
|
|
|
|
|
|
|
|
iter->Seek(k);
|
|
|
|
iter->value();
|
|
|
|
if (read_keys.find(index) == read_keys.end()) {
|
|
|
|
read_keys.insert(index);
|
|
|
|
read_bytes += iter->TEST_CurrentEntrySize();
|
|
|
|
}
|
|
|
|
|
|
|
|
double semi_acc_read_amp =
|
|
|
|
static_cast<double>(read_bytes) / rawblock.size();
|
|
|
|
double read_amp = static_cast<double>(stats->getTickerCount(
|
|
|
|
READ_AMP_ESTIMATE_USEFUL_BYTES)) /
|
|
|
|
stats->getTickerCount(READ_AMP_TOTAL_READ_BYTES);
|
|
|
|
|
|
|
|
double error_pct = fabs(semi_acc_read_amp - read_amp) * 100;
|
|
|
|
// Error in read amplification will be less than 2% if we are reading
|
|
|
|
// randomly
|
|
|
|
EXPECT_LT(error_pct, 2);
|
|
|
|
}
|
|
|
|
delete iter;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
TEST_F(BlockTest, ReadAmpBitmapPow2) {
|
|
|
|
std::shared_ptr<Statistics> stats = ROCKSDB_NAMESPACE::CreateDBStatistics();
|
|
|
|
ASSERT_EQ(BlockReadAmpBitmap(100, 1, stats.get()).GetBytesPerBit(), 1u);
|
|
|
|
ASSERT_EQ(BlockReadAmpBitmap(100, 2, stats.get()).GetBytesPerBit(), 2u);
|
|
|
|
ASSERT_EQ(BlockReadAmpBitmap(100, 4, stats.get()).GetBytesPerBit(), 4u);
|
|
|
|
ASSERT_EQ(BlockReadAmpBitmap(100, 8, stats.get()).GetBytesPerBit(), 8u);
|
|
|
|
ASSERT_EQ(BlockReadAmpBitmap(100, 16, stats.get()).GetBytesPerBit(), 16u);
|
|
|
|
ASSERT_EQ(BlockReadAmpBitmap(100, 32, stats.get()).GetBytesPerBit(), 32u);
|
|
|
|
|
|
|
|
ASSERT_EQ(BlockReadAmpBitmap(100, 3, stats.get()).GetBytesPerBit(), 2u);
|
|
|
|
ASSERT_EQ(BlockReadAmpBitmap(100, 7, stats.get()).GetBytesPerBit(), 4u);
|
|
|
|
ASSERT_EQ(BlockReadAmpBitmap(100, 11, stats.get()).GetBytesPerBit(), 8u);
|
|
|
|
ASSERT_EQ(BlockReadAmpBitmap(100, 17, stats.get()).GetBytesPerBit(), 16u);
|
|
|
|
ASSERT_EQ(BlockReadAmpBitmap(100, 33, stats.get()).GetBytesPerBit(), 32u);
|
|
|
|
ASSERT_EQ(BlockReadAmpBitmap(100, 35, stats.get()).GetBytesPerBit(), 32u);
|
|
|
|
}
|
|
|
|
|
Add an option to put first key of each sst block in the index (#5289)
Summary:
The first key is used to defer reading the data block until this file gets to the top of merging iterator's heap. For short range scans, most files never make it to the top of the heap, so this change can reduce read amplification by a lot sometimes.
Consider the following workload. There are a few data streams (we'll be calling them "logs"), each stream consisting of a sequence of blobs (we'll be calling them "records"). Each record is identified by log ID and a sequence number within the log. RocksDB key is concatenation of log ID and sequence number (big endian). Reads are mostly relatively short range scans, each within a single log. Writes are mostly sequential for each log, but writes to different logs are randomly interleaved. Compactions are disabled; instead, when we accumulate a few tens of sst files, we create a new column family and start writing to it.
So, a typical sst file consists of a few ranges of blocks, each range corresponding to one log ID (we use FlushBlockPolicy to cut blocks at log boundaries). A typical read would go like this. First, iterator Seek() reads one block from each sst file. Then a series of Next()s move through one sst file (since writes to each log are mostly sequential) until the subiterator reaches the end of this log in this sst file; then Next() switches to the next sst file and reads sequentially from that, and so on. Often a range scan will only return records from a small number of blocks in small number of sst files; in this case, the cost of initial Seek() reading one block from each file may be bigger than the cost of reading the actually useful blocks.
Neither iterate_upper_bound nor bloom filters can prevent reading one block from each file in Seek(). But this PR can: if the index contains first key from each block, we don't have to read the block until this block actually makes it to the top of merging iterator's heap, so for short range scans we won't read any blocks from most of the sst files.
This PR does the deferred block loading inside value() call. This is not ideal: there's no good way to report an IO error from inside value(). As discussed with siying offline, it would probably be better to change InternalIterator's interface to explicitly fetch deferred value and get status. I'll do it in a separate PR.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/5289
Differential Revision: D15256423
Pulled By: al13n321
fbshipit-source-id: 750e4c39ce88e8d41662f701cf6275d9388ba46a
5 years ago
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class IndexBlockTest
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: public testing::Test,
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public testing::WithParamInterface<std::tuple<bool, bool>> {
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public:
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IndexBlockTest() = default;
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bool useValueDeltaEncoding() const { return std::get<0>(GetParam()); }
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bool includeFirstKey() const { return std::get<1>(GetParam()); }
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};
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// Similar to GenerateRandomKVs but for index block contents.
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void GenerateRandomIndexEntries(std::vector<std::string> *separators,
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std::vector<BlockHandle> *block_handles,
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std::vector<std::string> *first_keys,
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const int len) {
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Random rnd(42);
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// For each of `len` blocks, we need to generate a first and last key.
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// Let's generate n*2 random keys, sort them, group into consecutive pairs.
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std::set<std::string> keys;
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while ((int)keys.size() < len * 2) {
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// Keys need to be at least 8 bytes long to look like internal keys.
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keys.insert(test::RandomKey(&rnd, 12));
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}
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uint64_t offset = 0;
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for (auto it = keys.begin(); it != keys.end();) {
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first_keys->emplace_back(*it++);
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separators->emplace_back(*it++);
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uint64_t size = rnd.Uniform(1024 * 16);
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BlockHandle handle(offset, size);
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offset += size + kBlockTrailerSize;
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block_handles->emplace_back(handle);
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}
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}
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TEST_P(IndexBlockTest, IndexValueEncodingTest) {
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Random rnd(301);
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Options options = Options();
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std::vector<std::string> separators;
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std::vector<BlockHandle> block_handles;
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std::vector<std::string> first_keys;
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const bool kUseDeltaEncoding = true;
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BlockBuilder builder(16, kUseDeltaEncoding, useValueDeltaEncoding());
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int num_records = 100;
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GenerateRandomIndexEntries(&separators, &block_handles, &first_keys,
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num_records);
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BlockHandle last_encoded_handle;
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for (int i = 0; i < num_records; i++) {
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IndexValue entry(block_handles[i], first_keys[i]);
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std::string encoded_entry;
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std::string delta_encoded_entry;
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entry.EncodeTo(&encoded_entry, includeFirstKey(), nullptr);
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if (useValueDeltaEncoding() && i > 0) {
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entry.EncodeTo(&delta_encoded_entry, includeFirstKey(),
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&last_encoded_handle);
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}
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last_encoded_handle = entry.handle;
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const Slice delta_encoded_entry_slice(delta_encoded_entry);
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builder.Add(separators[i], encoded_entry, &delta_encoded_entry_slice);
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}
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// read serialized contents of the block
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Slice rawblock = builder.Finish();
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// create block reader
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BlockContents contents;
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contents.data = rawblock;
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Block reader(std::move(contents));
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Add an option to put first key of each sst block in the index (#5289)
Summary:
The first key is used to defer reading the data block until this file gets to the top of merging iterator's heap. For short range scans, most files never make it to the top of the heap, so this change can reduce read amplification by a lot sometimes.
Consider the following workload. There are a few data streams (we'll be calling them "logs"), each stream consisting of a sequence of blobs (we'll be calling them "records"). Each record is identified by log ID and a sequence number within the log. RocksDB key is concatenation of log ID and sequence number (big endian). Reads are mostly relatively short range scans, each within a single log. Writes are mostly sequential for each log, but writes to different logs are randomly interleaved. Compactions are disabled; instead, when we accumulate a few tens of sst files, we create a new column family and start writing to it.
So, a typical sst file consists of a few ranges of blocks, each range corresponding to one log ID (we use FlushBlockPolicy to cut blocks at log boundaries). A typical read would go like this. First, iterator Seek() reads one block from each sst file. Then a series of Next()s move through one sst file (since writes to each log are mostly sequential) until the subiterator reaches the end of this log in this sst file; then Next() switches to the next sst file and reads sequentially from that, and so on. Often a range scan will only return records from a small number of blocks in small number of sst files; in this case, the cost of initial Seek() reading one block from each file may be bigger than the cost of reading the actually useful blocks.
Neither iterate_upper_bound nor bloom filters can prevent reading one block from each file in Seek(). But this PR can: if the index contains first key from each block, we don't have to read the block until this block actually makes it to the top of merging iterator's heap, so for short range scans we won't read any blocks from most of the sst files.
This PR does the deferred block loading inside value() call. This is not ideal: there's no good way to report an IO error from inside value(). As discussed with siying offline, it would probably be better to change InternalIterator's interface to explicitly fetch deferred value and get status. I'll do it in a separate PR.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/5289
Differential Revision: D15256423
Pulled By: al13n321
fbshipit-source-id: 750e4c39ce88e8d41662f701cf6275d9388ba46a
5 years ago
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const bool kTotalOrderSeek = true;
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const bool kIncludesSeq = true;
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const bool kValueIsFull = !useValueDeltaEncoding();
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IndexBlockIter *kNullIter = nullptr;
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Statistics *kNullStats = nullptr;
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// read contents of block sequentially
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InternalIteratorBase<IndexValue> *iter = reader.NewIndexIterator(
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options.comparator, kDisableGlobalSequenceNumber, kNullIter, kNullStats,
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kTotalOrderSeek, includeFirstKey(), kIncludesSeq, kValueIsFull);
|
Add an option to put first key of each sst block in the index (#5289)
Summary:
The first key is used to defer reading the data block until this file gets to the top of merging iterator's heap. For short range scans, most files never make it to the top of the heap, so this change can reduce read amplification by a lot sometimes.
Consider the following workload. There are a few data streams (we'll be calling them "logs"), each stream consisting of a sequence of blobs (we'll be calling them "records"). Each record is identified by log ID and a sequence number within the log. RocksDB key is concatenation of log ID and sequence number (big endian). Reads are mostly relatively short range scans, each within a single log. Writes are mostly sequential for each log, but writes to different logs are randomly interleaved. Compactions are disabled; instead, when we accumulate a few tens of sst files, we create a new column family and start writing to it.
So, a typical sst file consists of a few ranges of blocks, each range corresponding to one log ID (we use FlushBlockPolicy to cut blocks at log boundaries). A typical read would go like this. First, iterator Seek() reads one block from each sst file. Then a series of Next()s move through one sst file (since writes to each log are mostly sequential) until the subiterator reaches the end of this log in this sst file; then Next() switches to the next sst file and reads sequentially from that, and so on. Often a range scan will only return records from a small number of blocks in small number of sst files; in this case, the cost of initial Seek() reading one block from each file may be bigger than the cost of reading the actually useful blocks.
Neither iterate_upper_bound nor bloom filters can prevent reading one block from each file in Seek(). But this PR can: if the index contains first key from each block, we don't have to read the block until this block actually makes it to the top of merging iterator's heap, so for short range scans we won't read any blocks from most of the sst files.
This PR does the deferred block loading inside value() call. This is not ideal: there's no good way to report an IO error from inside value(). As discussed with siying offline, it would probably be better to change InternalIterator's interface to explicitly fetch deferred value and get status. I'll do it in a separate PR.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/5289
Differential Revision: D15256423
Pulled By: al13n321
fbshipit-source-id: 750e4c39ce88e8d41662f701cf6275d9388ba46a
5 years ago
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iter->SeekToFirst();
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for (int index = 0; index < num_records; ++index) {
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ASSERT_TRUE(iter->Valid());
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Slice k = iter->key();
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IndexValue v = iter->value();
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EXPECT_EQ(separators[index], k.ToString());
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EXPECT_EQ(block_handles[index].offset(), v.handle.offset());
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EXPECT_EQ(block_handles[index].size(), v.handle.size());
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EXPECT_EQ(includeFirstKey() ? first_keys[index] : "",
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v.first_internal_key.ToString());
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iter->Next();
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}
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delete iter;
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// read block contents randomly
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iter = reader.NewIndexIterator(
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options.comparator, kDisableGlobalSequenceNumber, kNullIter, kNullStats,
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kTotalOrderSeek, includeFirstKey(), kIncludesSeq, kValueIsFull);
|
Add an option to put first key of each sst block in the index (#5289)
Summary:
The first key is used to defer reading the data block until this file gets to the top of merging iterator's heap. For short range scans, most files never make it to the top of the heap, so this change can reduce read amplification by a lot sometimes.
Consider the following workload. There are a few data streams (we'll be calling them "logs"), each stream consisting of a sequence of blobs (we'll be calling them "records"). Each record is identified by log ID and a sequence number within the log. RocksDB key is concatenation of log ID and sequence number (big endian). Reads are mostly relatively short range scans, each within a single log. Writes are mostly sequential for each log, but writes to different logs are randomly interleaved. Compactions are disabled; instead, when we accumulate a few tens of sst files, we create a new column family and start writing to it.
So, a typical sst file consists of a few ranges of blocks, each range corresponding to one log ID (we use FlushBlockPolicy to cut blocks at log boundaries). A typical read would go like this. First, iterator Seek() reads one block from each sst file. Then a series of Next()s move through one sst file (since writes to each log are mostly sequential) until the subiterator reaches the end of this log in this sst file; then Next() switches to the next sst file and reads sequentially from that, and so on. Often a range scan will only return records from a small number of blocks in small number of sst files; in this case, the cost of initial Seek() reading one block from each file may be bigger than the cost of reading the actually useful blocks.
Neither iterate_upper_bound nor bloom filters can prevent reading one block from each file in Seek(). But this PR can: if the index contains first key from each block, we don't have to read the block until this block actually makes it to the top of merging iterator's heap, so for short range scans we won't read any blocks from most of the sst files.
This PR does the deferred block loading inside value() call. This is not ideal: there's no good way to report an IO error from inside value(). As discussed with siying offline, it would probably be better to change InternalIterator's interface to explicitly fetch deferred value and get status. I'll do it in a separate PR.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/5289
Differential Revision: D15256423
Pulled By: al13n321
fbshipit-source-id: 750e4c39ce88e8d41662f701cf6275d9388ba46a
5 years ago
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for (int i = 0; i < num_records * 2; i++) {
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// find a random key in the lookaside array
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int index = rnd.Uniform(num_records);
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Slice k(separators[index]);
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// search in block for this key
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iter->Seek(k);
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ASSERT_TRUE(iter->Valid());
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IndexValue v = iter->value();
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EXPECT_EQ(separators[index], iter->key().ToString());
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EXPECT_EQ(block_handles[index].offset(), v.handle.offset());
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EXPECT_EQ(block_handles[index].size(), v.handle.size());
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EXPECT_EQ(includeFirstKey() ? first_keys[index] : "",
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v.first_internal_key.ToString());
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}
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delete iter;
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}
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INSTANTIATE_TEST_CASE_P(P, IndexBlockTest,
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::testing::Values(std::make_tuple(false, false),
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std::make_tuple(false, true),
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std::make_tuple(true, false),
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std::make_tuple(true, true)));
|
Add an option to put first key of each sst block in the index (#5289)
Summary:
The first key is used to defer reading the data block until this file gets to the top of merging iterator's heap. For short range scans, most files never make it to the top of the heap, so this change can reduce read amplification by a lot sometimes.
Consider the following workload. There are a few data streams (we'll be calling them "logs"), each stream consisting of a sequence of blobs (we'll be calling them "records"). Each record is identified by log ID and a sequence number within the log. RocksDB key is concatenation of log ID and sequence number (big endian). Reads are mostly relatively short range scans, each within a single log. Writes are mostly sequential for each log, but writes to different logs are randomly interleaved. Compactions are disabled; instead, when we accumulate a few tens of sst files, we create a new column family and start writing to it.
So, a typical sst file consists of a few ranges of blocks, each range corresponding to one log ID (we use FlushBlockPolicy to cut blocks at log boundaries). A typical read would go like this. First, iterator Seek() reads one block from each sst file. Then a series of Next()s move through one sst file (since writes to each log are mostly sequential) until the subiterator reaches the end of this log in this sst file; then Next() switches to the next sst file and reads sequentially from that, and so on. Often a range scan will only return records from a small number of blocks in small number of sst files; in this case, the cost of initial Seek() reading one block from each file may be bigger than the cost of reading the actually useful blocks.
Neither iterate_upper_bound nor bloom filters can prevent reading one block from each file in Seek(). But this PR can: if the index contains first key from each block, we don't have to read the block until this block actually makes it to the top of merging iterator's heap, so for short range scans we won't read any blocks from most of the sst files.
This PR does the deferred block loading inside value() call. This is not ideal: there's no good way to report an IO error from inside value(). As discussed with siying offline, it would probably be better to change InternalIterator's interface to explicitly fetch deferred value and get status. I'll do it in a separate PR.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/5289
Differential Revision: D15256423
Pulled By: al13n321
fbshipit-source-id: 750e4c39ce88e8d41662f701cf6275d9388ba46a
5 years ago
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} // namespace ROCKSDB_NAMESPACE
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int main(int argc, char **argv) {
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::testing::InitGoogleTest(&argc, argv);
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return RUN_ALL_TESTS();
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}
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