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06e593376c
Summary: ## Context/Summary Similar to https://github.com/facebook/rocksdb/pull/11288, https://github.com/facebook/rocksdb/pull/11444, categorizing SST/blob file write according to different io activities allows more insight into the activity. For that, this PR does the following: - Tag different write IOs by passing down and converting WriteOptions to IOOptions - Add new SST_WRITE_MICROS histogram in WritableFileWriter::Append() and breakdown FILE_WRITE_{FLUSH|COMPACTION|DB_OPEN}_MICROS Some related code refactory to make implementation cleaner: - Blob stats - Replace high-level write measurement with low-level WritableFileWriter::Append() measurement for BLOB_DB_BLOB_FILE_WRITE_MICROS. This is to make FILE_WRITE_{FLUSH|COMPACTION|DB_OPEN}_MICROS include blob file. As a consequence, this introduces some behavioral changes on it, see HISTORY and db bench test plan below for more info. - Fix bugs where BLOB_DB_BLOB_FILE_SYNCED/BLOB_DB_BLOB_FILE_BYTES_WRITTEN include file failed to sync and bytes failed to write. - Refactor WriteOptions constructor for easier construction with io_activity and rate_limiter_priority - Refactor DBImpl::~DBImpl()/BlobDBImpl::Close() to bypass thread op verification - Build table - TableBuilderOptions now includes Read/WriteOpitons so BuildTable() do not need to take these two variables - Replace the io_priority passed into BuildTable() with TableBuilderOptions::WriteOpitons::rate_limiter_priority. Similar for BlobFileBuilder. This parameter is used for dynamically changing file io priority for flush, see https://github.com/facebook/rocksdb/pull/9988?fbclid=IwAR1DtKel6c-bRJAdesGo0jsbztRtciByNlvokbxkV6h_L-AE9MACzqRTT5s for more - Update ThreadStatus::FLUSH_BYTES_WRITTEN to use io_activity to track flush IO in flush job and db open instead of io_priority ## Test ### db bench Flush ``` ./db_bench --statistics=1 --benchmarks=fillseq --num=100000 --write_buffer_size=100 rocksdb.sst.write.micros P50 : 1.830863 P95 : 4.094720 P99 : 6.578947 P100 : 26.000000 COUNT : 7875 SUM : 20377 rocksdb.file.write.flush.micros P50 : 1.830863 P95 : 4.094720 P99 : 6.578947 P100 : 26.000000 COUNT : 7875 SUM : 20377 rocksdb.file.write.compaction.micros P50 : 0.000000 P95 : 0.000000 P99 : 0.000000 P100 : 0.000000 COUNT : 0 SUM : 0 rocksdb.file.write.db.open.micros P50 : 0.000000 P95 : 0.000000 P99 : 0.000000 P100 : 0.000000 COUNT : 0 SUM : 0 ``` compaction, db oopen ``` Setup: ./db_bench --statistics=1 --benchmarks=fillseq --num=10000 --disable_auto_compactions=1 -write_buffer_size=100 --db=../db_bench Run:./db_bench --statistics=1 --benchmarks=compact --db=../db_bench --use_existing_db=1 rocksdb.sst.write.micros P50 : 2.675325 P95 : 9.578788 P99 : 18.780000 P100 : 314.000000 COUNT : 638 SUM : 3279 rocksdb.file.write.flush.micros P50 : 0.000000 P95 : 0.000000 P99 : 0.000000 P100 : 0.000000 COUNT : 0 SUM : 0 rocksdb.file.write.compaction.micros P50 : 2.757353 P95 : 9.610687 P99 : 19.316667 P100 : 314.000000 COUNT : 615 SUM : 3213 rocksdb.file.write.db.open.micros P50 : 2.055556 P95 : 3.925000 P99 : 9.000000 P100 : 9.000000 COUNT : 23 SUM : 66 ``` blob stats - just to make sure they aren't broken by this PR ``` Integrated Blob DB Setup: ./db_bench --enable_blob_files=1 --statistics=1 --benchmarks=fillseq --num=10000 --disable_auto_compactions=1 -write_buffer_size=100 --db=../db_bench Run:./db_bench --enable_blob_files=1 --statistics=1 --benchmarks=compact --db=../db_bench --use_existing_db=1 pre-PR: rocksdb.blobdb.blob.file.write.micros P50 : 7.298246 P95 : 9.771930 P99 : 9.991813 P100 : 16.000000 COUNT : 235 SUM : 1600 rocksdb.blobdb.blob.file.synced COUNT : 1 rocksdb.blobdb.blob.file.bytes.written COUNT : 34842 post-PR: rocksdb.blobdb.blob.file.write.micros P50 : 2.000000 P95 : 2.829360 P99 : 2.993779 P100 : 9.000000 COUNT : 707 SUM : 1614 - COUNT is higher and values are smaller as it includes header and footer write - COUNT is 3X higher due to each Append() count as one post-PR, while in pre-PR, 3 Append()s counts as one. See https://github.com/facebook/rocksdb/pull/11910/files#diff-32b811c0a1c000768cfb2532052b44dc0b3bf82253f3eab078e15ff201a0dabfL157-L164 rocksdb.blobdb.blob.file.synced COUNT : 1 (stay the same) rocksdb.blobdb.blob.file.bytes.written COUNT : 34842 (stay the same) ``` ``` Stacked Blob DB Run: ./db_bench --use_blob_db=1 --statistics=1 --benchmarks=fillseq --num=10000 --disable_auto_compactions=1 -write_buffer_size=100 --db=../db_bench pre-PR: rocksdb.blobdb.blob.file.write.micros P50 : 12.808042 P95 : 19.674497 P99 : 28.539683 P100 : 51.000000 COUNT : 10000 SUM : 140876 rocksdb.blobdb.blob.file.synced COUNT : 8 rocksdb.blobdb.blob.file.bytes.written COUNT : 1043445 post-PR: rocksdb.blobdb.blob.file.write.micros P50 : 1.657370 P95 : 2.952175 P99 : 3.877519 P100 : 24.000000 COUNT : 30001 SUM : 67924 - COUNT is higher and values are smaller as it includes header and footer write - COUNT is 3X higher due to each Append() count as one post-PR, while in pre-PR, 3 Append()s counts as one. See https://github.com/facebook/rocksdb/pull/11910/files#diff-32b811c0a1c000768cfb2532052b44dc0b3bf82253f3eab078e15ff201a0dabfL157-L164 rocksdb.blobdb.blob.file.synced COUNT : 8 (stay the same) rocksdb.blobdb.blob.file.bytes.written COUNT : 1043445 (stay the same) ``` ### Rehearsal CI stress test Trigger 3 full runs of all our CI stress tests ### Performance Flush ``` TEST_TMPDIR=/dev/shm ./db_basic_bench_pre_pr --benchmark_filter=ManualFlush/key_num:524288/per_key_size:256 --benchmark_repetitions=1000 -- default: 1 thread is used to run benchmark; enable_statistics = true Pre-pr: avg 507515519.3 ns 497686074,499444327,500862543,501389862,502994471,503744435,504142123,504224056,505724198,506610393,506837742,506955122,507695561,507929036,508307733,508312691,508999120,509963561,510142147,510698091,510743096,510769317,510957074,511053311,511371367,511409911,511432960,511642385,511691964,511730908, Post-pr: avg 511971266.5 ns, regressed 0.88% 502744835,506502498,507735420,507929724,508313335,509548582,509994942,510107257,510715603,511046955,511352639,511458478,512117521,512317380,512766303,512972652,513059586,513804934,513808980,514059409,514187369,514389494,514447762,514616464,514622882,514641763,514666265,514716377,514990179,515502408, ``` Compaction ``` TEST_TMPDIR=/dev/shm ./db_basic_bench_{pre|post}_pr --benchmark_filter=ManualCompaction/comp_style:0/max_data:134217728/per_key_size:256/enable_statistics:1 --benchmark_repetitions=1000 -- default: 1 thread is used to run benchmark Pre-pr: avg 495346098.30 ns 492118301,493203526,494201411,494336607,495269217,495404950,496402598,497012157,497358370,498153846 Post-pr: avg 504528077.20, regressed 1.85%. "ManualCompaction" include flush so the isolated regression for compaction should be around 1.85-0.88 = 0.97% 502465338,502485945,502541789,502909283,503438601,504143885,506113087,506629423,507160414,507393007 ``` Put with WAL (in case passing WriteOptions slows down this path even without collecting SST write stats) ``` TEST_TMPDIR=/dev/shm ./db_basic_bench_pre_pr --benchmark_filter=DBPut/comp_style:0/max_data:107374182400/per_key_size:256/enable_statistics:1/wal:1 --benchmark_repetitions=1000 -- default: 1 thread is used to run benchmark Pre-pr: avg 3848.10 ns 3814,3838,3839,3848,3854,3854,3854,3860,3860,3860 Post-pr: avg 3874.20 ns, regressed 0.68% 3863,3867,3871,3874,3875,3877,3877,3877,3880,3881 ``` Pull Request resolved: https://github.com/facebook/rocksdb/pull/11910 Reviewed By: ajkr Differential Revision: D49788060 Pulled By: hx235 fbshipit-source-id: 79e73699cda5be3b66461687e5147c2484fc5eff
414 lines
14 KiB
C++
414 lines
14 KiB
C++
// 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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// Copyright (c) 2011 The LevelDB Authors. All rights reserved.
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// Use of this source code is governed by a BSD-style license that can be
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// found in the LICENSE file. See the AUTHORS file for names of contributors.
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#include "table/cuckoo/cuckoo_table_reader.h"
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#include <algorithm>
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#include <limits>
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#include <string>
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#include <utility>
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#include <vector>
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#include "memory/arena.h"
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#include "options/cf_options.h"
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#include "rocksdb/iterator.h"
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#include "rocksdb/table.h"
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#include "table/cuckoo/cuckoo_table_factory.h"
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#include "table/get_context.h"
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#include "table/internal_iterator.h"
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#include "table/meta_blocks.h"
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#include "util/coding.h"
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namespace ROCKSDB_NAMESPACE {
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namespace {
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const uint64_t CACHE_LINE_MASK = ~((uint64_t)CACHE_LINE_SIZE - 1);
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const uint32_t kInvalidIndex = std::numeric_limits<uint32_t>::max();
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} // namespace
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extern const uint64_t kCuckooTableMagicNumber;
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CuckooTableReader::CuckooTableReader(
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const ImmutableOptions& ioptions,
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std::unique_ptr<RandomAccessFileReader>&& file, uint64_t file_size,
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const Comparator* comparator,
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uint64_t (*get_slice_hash)(const Slice&, uint32_t, uint64_t))
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: file_(std::move(file)),
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is_last_level_(false),
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identity_as_first_hash_(false),
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use_module_hash_(false),
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num_hash_func_(0),
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key_length_(0),
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user_key_length_(0),
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value_length_(0),
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bucket_length_(0),
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cuckoo_block_size_(0),
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cuckoo_block_bytes_minus_one_(0),
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table_size_(0),
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ucomp_(comparator),
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get_slice_hash_(get_slice_hash) {
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if (!ioptions.allow_mmap_reads) {
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status_ = Status::InvalidArgument("File is not mmaped");
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return;
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}
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{
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std::unique_ptr<TableProperties> props;
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// TODO: plumb Env::IOActivity, Env::IOPriority
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const ReadOptions read_options;
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status_ =
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ReadTableProperties(file_.get(), file_size, kCuckooTableMagicNumber,
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ioptions, read_options, &props);
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if (!status_.ok()) {
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return;
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}
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table_props_ = std::move(props);
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}
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auto& user_props = table_props_->user_collected_properties;
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auto hash_funs = user_props.find(CuckooTablePropertyNames::kNumHashFunc);
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if (hash_funs == user_props.end()) {
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status_ = Status::Corruption("Number of hash functions not found");
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return;
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}
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num_hash_func_ = *reinterpret_cast<const uint32_t*>(hash_funs->second.data());
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auto unused_key = user_props.find(CuckooTablePropertyNames::kEmptyKey);
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if (unused_key == user_props.end()) {
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status_ = Status::Corruption("Empty bucket value not found");
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return;
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}
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unused_key_ = unused_key->second;
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key_length_ = static_cast<uint32_t>(table_props_->fixed_key_len);
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auto user_key_len = user_props.find(CuckooTablePropertyNames::kUserKeyLength);
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if (user_key_len == user_props.end()) {
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status_ = Status::Corruption("User key length not found");
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return;
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}
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user_key_length_ =
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*reinterpret_cast<const uint32_t*>(user_key_len->second.data());
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auto value_length = user_props.find(CuckooTablePropertyNames::kValueLength);
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if (value_length == user_props.end()) {
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status_ = Status::Corruption("Value length not found");
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return;
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}
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value_length_ =
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*reinterpret_cast<const uint32_t*>(value_length->second.data());
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bucket_length_ = key_length_ + value_length_;
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auto hash_table_size =
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user_props.find(CuckooTablePropertyNames::kHashTableSize);
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if (hash_table_size == user_props.end()) {
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status_ = Status::Corruption("Hash table size not found");
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return;
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}
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table_size_ =
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*reinterpret_cast<const uint64_t*>(hash_table_size->second.data());
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auto is_last_level = user_props.find(CuckooTablePropertyNames::kIsLastLevel);
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if (is_last_level == user_props.end()) {
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status_ = Status::Corruption("Is last level not found");
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return;
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}
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is_last_level_ = *reinterpret_cast<const bool*>(is_last_level->second.data());
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auto identity_as_first_hash =
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user_props.find(CuckooTablePropertyNames::kIdentityAsFirstHash);
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if (identity_as_first_hash == user_props.end()) {
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status_ = Status::Corruption("identity as first hash not found");
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return;
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}
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identity_as_first_hash_ =
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*reinterpret_cast<const bool*>(identity_as_first_hash->second.data());
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auto use_module_hash =
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user_props.find(CuckooTablePropertyNames::kUseModuleHash);
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if (use_module_hash == user_props.end()) {
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status_ = Status::Corruption("hash type is not found");
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return;
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}
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use_module_hash_ =
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*reinterpret_cast<const bool*>(use_module_hash->second.data());
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auto cuckoo_block_size =
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user_props.find(CuckooTablePropertyNames::kCuckooBlockSize);
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if (cuckoo_block_size == user_props.end()) {
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status_ = Status::Corruption("Cuckoo block size not found");
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return;
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}
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cuckoo_block_size_ =
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*reinterpret_cast<const uint32_t*>(cuckoo_block_size->second.data());
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cuckoo_block_bytes_minus_one_ = cuckoo_block_size_ * bucket_length_ - 1;
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// TODO: rate limit reads of whole cuckoo tables.
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status_ = file_->Read(IOOptions(), 0, static_cast<size_t>(file_size),
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&file_data_, nullptr, nullptr);
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}
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Status CuckooTableReader::Get(const ReadOptions& /*readOptions*/,
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const Slice& key, GetContext* get_context,
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const SliceTransform* /* prefix_extractor */,
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bool /*skip_filters*/) {
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assert(key.size() == key_length_ + (is_last_level_ ? 8 : 0));
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Slice user_key = ExtractUserKey(key);
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for (uint32_t hash_cnt = 0; hash_cnt < num_hash_func_; ++hash_cnt) {
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uint64_t offset =
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bucket_length_ * CuckooHash(user_key, hash_cnt, use_module_hash_,
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table_size_, identity_as_first_hash_,
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get_slice_hash_);
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const char* bucket = &file_data_.data()[offset];
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for (uint32_t block_idx = 0; block_idx < cuckoo_block_size_;
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++block_idx, bucket += bucket_length_) {
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if (ucomp_->Equal(Slice(unused_key_.data(), user_key.size()),
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Slice(bucket, user_key.size()))) {
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return Status::OK();
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}
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// Here, we compare only the user key part as we support only one entry
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// per user key and we don't support snapshot.
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if (ucomp_->Equal(user_key, Slice(bucket, user_key.size()))) {
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Slice value(bucket + key_length_, value_length_);
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if (is_last_level_) {
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// Sequence number is not stored at the last level, so we will use
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// kMaxSequenceNumber since it is unknown. This could cause some
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// transactions to fail to lock a key due to known sequence number.
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// However, it is expected for anyone to use a CuckooTable in a
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// TransactionDB.
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get_context->SaveValue(value, kMaxSequenceNumber);
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} else {
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Slice full_key(bucket, key_length_);
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ParsedInternalKey found_ikey;
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Status s = ParseInternalKey(full_key, &found_ikey,
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false /* log_err_key */); // TODO
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if (!s.ok()) {
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return s;
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}
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bool dont_care __attribute__((__unused__));
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get_context->SaveValue(found_ikey, value, &dont_care);
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}
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// We don't support merge operations. So, we return here.
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return Status::OK();
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}
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}
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}
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return Status::OK();
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}
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void CuckooTableReader::Prepare(const Slice& key) {
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// Prefetch the first Cuckoo Block.
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Slice user_key = ExtractUserKey(key);
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uint64_t addr =
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reinterpret_cast<uint64_t>(file_data_.data()) +
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bucket_length_ * CuckooHash(user_key, 0, use_module_hash_, table_size_,
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identity_as_first_hash_, nullptr);
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uint64_t end_addr = addr + cuckoo_block_bytes_minus_one_;
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for (addr &= CACHE_LINE_MASK; addr < end_addr; addr += CACHE_LINE_SIZE) {
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PREFETCH(reinterpret_cast<const char*>(addr), 0, 3);
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}
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}
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class CuckooTableIterator : public InternalIterator {
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public:
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explicit CuckooTableIterator(CuckooTableReader* reader);
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// No copying allowed
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CuckooTableIterator(const CuckooTableIterator&) = delete;
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void operator=(const Iterator&) = delete;
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~CuckooTableIterator() override = default;
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bool Valid() const override;
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void SeekToFirst() override;
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void SeekToLast() override;
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void Seek(const Slice& target) override;
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void SeekForPrev(const Slice& target) override;
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void Next() override;
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void Prev() override;
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Slice key() const override;
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Slice value() const override;
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Status status() const override { return Status::OK(); }
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void InitIfNeeded();
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private:
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struct BucketComparator {
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BucketComparator(const Slice& file_data, const Comparator* ucomp,
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uint32_t bucket_len, uint32_t user_key_len,
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const Slice& target = Slice())
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: file_data_(file_data),
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ucomp_(ucomp),
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bucket_len_(bucket_len),
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user_key_len_(user_key_len),
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target_(target) {}
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bool operator()(const uint32_t first, const uint32_t second) const {
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const char* first_bucket = (first == kInvalidIndex)
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? target_.data()
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: &file_data_.data()[first * bucket_len_];
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const char* second_bucket =
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(second == kInvalidIndex) ? target_.data()
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: &file_data_.data()[second * bucket_len_];
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return ucomp_->Compare(Slice(first_bucket, user_key_len_),
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Slice(second_bucket, user_key_len_)) < 0;
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}
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private:
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const Slice file_data_;
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const Comparator* ucomp_;
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const uint32_t bucket_len_;
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const uint32_t user_key_len_;
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const Slice target_;
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};
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const BucketComparator bucket_comparator_;
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void PrepareKVAtCurrIdx();
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CuckooTableReader* reader_;
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bool initialized_;
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// Contains a map of keys to bucket_id sorted in key order.
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std::vector<uint32_t> sorted_bucket_ids_;
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// We assume that the number of items can be stored in uint32 (4 Billion).
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uint32_t curr_key_idx_;
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Slice curr_value_;
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IterKey curr_key_;
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};
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CuckooTableIterator::CuckooTableIterator(CuckooTableReader* reader)
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: bucket_comparator_(reader->file_data_, reader->ucomp_,
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reader->bucket_length_, reader->user_key_length_),
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reader_(reader),
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initialized_(false),
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curr_key_idx_(kInvalidIndex) {
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sorted_bucket_ids_.clear();
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curr_value_.clear();
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curr_key_.Clear();
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}
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void CuckooTableIterator::InitIfNeeded() {
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if (initialized_) {
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return;
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}
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sorted_bucket_ids_.reserve(
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static_cast<size_t>(reader_->GetTableProperties()->num_entries));
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uint64_t num_buckets = reader_->table_size_ + reader_->cuckoo_block_size_ - 1;
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assert(num_buckets < kInvalidIndex);
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const char* bucket = reader_->file_data_.data();
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for (uint32_t bucket_id = 0; bucket_id < num_buckets; ++bucket_id) {
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if (Slice(bucket, reader_->key_length_) != Slice(reader_->unused_key_)) {
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sorted_bucket_ids_.push_back(bucket_id);
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}
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bucket += reader_->bucket_length_;
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}
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assert(sorted_bucket_ids_.size() ==
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reader_->GetTableProperties()->num_entries);
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std::sort(sorted_bucket_ids_.begin(), sorted_bucket_ids_.end(),
|
|
bucket_comparator_);
|
|
curr_key_idx_ = kInvalidIndex;
|
|
initialized_ = true;
|
|
}
|
|
|
|
void CuckooTableIterator::SeekToFirst() {
|
|
InitIfNeeded();
|
|
curr_key_idx_ = 0;
|
|
PrepareKVAtCurrIdx();
|
|
}
|
|
|
|
void CuckooTableIterator::SeekToLast() {
|
|
InitIfNeeded();
|
|
curr_key_idx_ = static_cast<uint32_t>(sorted_bucket_ids_.size()) - 1;
|
|
PrepareKVAtCurrIdx();
|
|
}
|
|
|
|
void CuckooTableIterator::Seek(const Slice& target) {
|
|
InitIfNeeded();
|
|
const BucketComparator seek_comparator(
|
|
reader_->file_data_, reader_->ucomp_, reader_->bucket_length_,
|
|
reader_->user_key_length_, ExtractUserKey(target));
|
|
auto seek_it =
|
|
std::lower_bound(sorted_bucket_ids_.begin(), sorted_bucket_ids_.end(),
|
|
kInvalidIndex, seek_comparator);
|
|
curr_key_idx_ =
|
|
static_cast<uint32_t>(std::distance(sorted_bucket_ids_.begin(), seek_it));
|
|
PrepareKVAtCurrIdx();
|
|
}
|
|
|
|
void CuckooTableIterator::SeekForPrev(const Slice& /*target*/) {
|
|
// Not supported
|
|
assert(false);
|
|
}
|
|
|
|
bool CuckooTableIterator::Valid() const {
|
|
return curr_key_idx_ < sorted_bucket_ids_.size();
|
|
}
|
|
|
|
void CuckooTableIterator::PrepareKVAtCurrIdx() {
|
|
if (!Valid()) {
|
|
curr_value_.clear();
|
|
curr_key_.Clear();
|
|
return;
|
|
}
|
|
uint32_t id = sorted_bucket_ids_[curr_key_idx_];
|
|
const char* offset =
|
|
reader_->file_data_.data() + id * reader_->bucket_length_;
|
|
if (reader_->is_last_level_) {
|
|
// Always return internal key.
|
|
curr_key_.SetInternalKey(Slice(offset, reader_->user_key_length_), 0,
|
|
kTypeValue);
|
|
} else {
|
|
curr_key_.SetInternalKey(Slice(offset, reader_->key_length_));
|
|
}
|
|
curr_value_ = Slice(offset + reader_->key_length_, reader_->value_length_);
|
|
}
|
|
|
|
void CuckooTableIterator::Next() {
|
|
if (!Valid()) {
|
|
curr_value_.clear();
|
|
curr_key_.Clear();
|
|
return;
|
|
}
|
|
++curr_key_idx_;
|
|
PrepareKVAtCurrIdx();
|
|
}
|
|
|
|
void CuckooTableIterator::Prev() {
|
|
if (curr_key_idx_ == 0) {
|
|
curr_key_idx_ = static_cast<uint32_t>(sorted_bucket_ids_.size());
|
|
}
|
|
if (!Valid()) {
|
|
curr_value_.clear();
|
|
curr_key_.Clear();
|
|
return;
|
|
}
|
|
--curr_key_idx_;
|
|
PrepareKVAtCurrIdx();
|
|
}
|
|
|
|
Slice CuckooTableIterator::key() const {
|
|
assert(Valid());
|
|
return curr_key_.GetInternalKey();
|
|
}
|
|
|
|
Slice CuckooTableIterator::value() const {
|
|
assert(Valid());
|
|
return curr_value_;
|
|
}
|
|
|
|
InternalIterator* CuckooTableReader::NewIterator(
|
|
const ReadOptions& /*read_options*/,
|
|
const SliceTransform* /* prefix_extractor */, Arena* arena,
|
|
bool /*skip_filters*/, TableReaderCaller /*caller*/,
|
|
size_t /*compaction_readahead_size*/, bool /* allow_unprepared_value */) {
|
|
if (!status().ok()) {
|
|
return NewErrorInternalIterator<Slice>(
|
|
Status::Corruption("CuckooTableReader status is not okay."), arena);
|
|
}
|
|
CuckooTableIterator* iter;
|
|
if (arena == nullptr) {
|
|
iter = new CuckooTableIterator(this);
|
|
} else {
|
|
auto iter_mem = arena->AllocateAligned(sizeof(CuckooTableIterator));
|
|
iter = new (iter_mem) CuckooTableIterator(this);
|
|
}
|
|
return iter;
|
|
}
|
|
|
|
size_t CuckooTableReader::ApproximateMemoryUsage() const { return 0; }
|
|
|
|
} // namespace ROCKSDB_NAMESPACE
|