rocksdb/db/db_bench.cc

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// Copyright (c) 2011 The LevelDB Authors. All rights reserved.
// Use of this source code is governed by a BSD-style license that can be
// found in the LICENSE file. See the AUTHORS file for names of contributors.
#include <cstddef>
#include <sys/types.h>
#include <stdio.h>
#include <stdlib.h>
#include "db/db_impl.h"
#include "db/version_set.h"
#include "db/db_statistics.h"
#include "leveldb/cache.h"
#include "leveldb/db.h"
#include "leveldb/env.h"
#include "leveldb/write_batch.h"
#include "leveldb/statistics.h"
#include "port/port.h"
#include "util/crc32c.h"
#include "util/histogram.h"
#include "util/mutexlock.h"
#include "util/random.h"
[RocksDB] Add stacktrace signal handler Summary: This diff provides the ability to print out a stacktrace when the process receives certain signals. Currently, we enable this for the following signals (program error related): SIGILL SIGSEGV SIGBUS SIGABRT Application simply #include "util/stack_trace.h" and call leveldb::InstallStackTraceHandler() during initialization, if signal handler is needed. It's not done automatically when openning db, because it's the application(process)'s responsibility to install signal handler and some applications might already have their own (like fbcode). Sample output: Received signal 11 (Segmentation fault) #0 0x408ff0 ./signal_test() [0x408ff0] /home/haobo/rocksdb/util/signal_test.cc:4 #1 0x40827d ./signal_test() [0x40827d] /home/haobo/rocksdb/util/signal_test.cc:24 #2 0x7f8bb183172e /usr/local/fbcode/gcc-4.7.1-glibc-2.14.1/lib/libc.so.6(__libc_start_main+0x10e) [0x7f8bb183172e] ??:0 #3 0x408ebc ./signal_test() [0x408ebc] /home/engshare/third-party/src/glibc/glibc-2.14.1/glibc-2.14.1/csu/../sysdeps/x86_64/elf/start.S:113 Segmentation fault (core dumped) For each frame, we print the raw pointer, the symbol provided by backtrace_symbols (still not good enough), and the source file/line. Note that address translation is done by directly shell out to addr2line. ??:0 means addr2line fails to do the translation. Hacky, but I think it's good for now. Test Plan: signal_test.cc Reviewers: dhruba, MarkCallaghan Reviewed By: dhruba CC: leveldb Differential Revision: https://reviews.facebook.net/D10173
2013-04-11 19:54:35 +02:00
#include "util/stack_trace.h"
#include "util/testutil.h"
#include "hdfs/env_hdfs.h"
// Comma-separated list of operations to run in the specified order
// Actual benchmarks:
// fillseq -- write N values in sequential key order in async mode
// fillrandom -- write N values in random key order in async mode
// overwrite -- overwrite N values in random key order in async mode
// fillsync -- write N/100 values in random key order in sync mode
// fill100K -- write N/1000 100K values in random order in async mode
// deleteseq -- delete N keys in sequential order
// deleterandom -- delete N keys in random order
// readseq -- read N times sequentially
// readreverse -- read N times in reverse order
// readrandom -- read N times in random order
// readmissing -- read N missing keys in random order
// readhot -- read N times in random order from 1% section of DB
// readwhilewriting -- 1 writer, N threads doing random reads
// readrandomwriterandom - N threads doing random-read, random-write
// updaterandom -- N threads doing read-modify-write for random keys
// seekrandom -- N random seeks
// crc32c -- repeated crc32c of 4K of data
// acquireload -- load N*1000 times
// Meta operations:
// compact -- Compact the entire DB
// stats -- Print DB stats
// levelstats -- Print the number of files and bytes per level
// sstables -- Print sstable info
// heapprofile -- Dump a heap profile (if supported by this port)
static const char* FLAGS_benchmarks =
"fillseq,"
"fillsync,"
"fillrandom,"
"overwrite,"
"readrandom,"
"readrandom," // Extra run to allow previous compactions to quiesce
"readseq,"
"readreverse,"
"compact,"
"readrandom,"
"readseq,"
"readreverse,"
"readwhilewriting,"
"readrandomwriterandom," // mix reads and writes based on FLAGS_readwritepercent
"updaterandom," // read-modify-write for random keys
"randomwithverify," // random reads and writes with some verification
"fill100K,"
"crc32c,"
"snappycomp,"
"snappyuncomp,"
"acquireload,"
;
// the maximum size of key in bytes
static const int MAX_KEY_SIZE = 128;
// Number of key/values to place in database
static long FLAGS_num = 1000000;
// Number of distinct keys to use. Used in RandomWithVerify to read/write
// on fewer keys so that gets are more likely to find the key and puts
// are more likely to update the same key
static long FLAGS_numdistinct = 1000;
// Number of read operations to do. If negative, do FLAGS_num reads.
static long FLAGS_reads = -1;
// When ==1 reads use ::Get, when >1 reads use an iterator
static long FLAGS_read_range = 1;
// Seed base for random number generators. When 0 it is deterministic.
static long FLAGS_seed = 0;
// Number of concurrent threads to run.
static int FLAGS_threads = 1;
// Time in seconds for the random-ops tests to run. When 0 then
// FLAGS_num & FLAGS_reads determine the test duration
static int FLAGS_duration = 0;
// Size of each value
static int FLAGS_value_size = 100;
//size of each key
static int FLAGS_key_size = 16;
// Arrange to generate values that shrink to this fraction of
// their original size after compression
static double FLAGS_compression_ratio = 0.5;
// Print histogram of operation timings
static bool FLAGS_histogram = false;
// Number of bytes to buffer in memtable before compacting
// (initialized to default value by "main")
static int FLAGS_write_buffer_size = 0;
// The number of in-memory memtables.
// Each memtable is of size FLAGS_write_buffer_size.
// This is initialized to default value of 2 in "main" function.
static int FLAGS_max_write_buffer_number = 0;
// The maximum number of concurrent background compactions
// that can occur in parallel.
// This is initialized to default value of 1 in "main" function.
static int FLAGS_max_background_compactions = 0;
// Number of bytes to use as a cache of uncompressed data.
// Negative means use default settings.
static long FLAGS_cache_size = -1;
// Number of bytes in a block.
static int FLAGS_block_size = 0;
// Maximum number of files to keep open at the same time (use default if == 0)
static int FLAGS_open_files = 0;
// Bloom filter bits per key.
// Negative means use default settings.
static int FLAGS_bloom_bits = -1;
// If true, do not destroy the existing database. If you set this
// flag and also specify a benchmark that wants a fresh database, that
// benchmark will fail.
static bool FLAGS_use_existing_db = false;
// Use the db with the following name.
static const char* FLAGS_db = nullptr;
// Number of shards for the block cache is 2 ** FLAGS_cache_numshardbits.
// Negative means use default settings. This is applied only
// if FLAGS_cache_size is non-negative.
static int FLAGS_cache_numshardbits = -1;
// Verify checksum for every block read from storage
static bool FLAGS_verify_checksum = false;
// Database statistics
static bool FLAGS_statistics = false;
static class std::shared_ptr<leveldb::Statistics> dbstats;
// Number of write operations to do. If negative, do FLAGS_num reads.
static long FLAGS_writes = -1;
// Per-thread rate limit on writes per second. No limit when <= 0.
// Only for the readwhilewriting test.
static int FLAGS_writes_per_second = 0;
// These default values might change if the hardcoded
// Sync all writes to disk
static bool FLAGS_sync = false;
// If true, do not wait until data is synced to disk.
static bool FLAGS_disable_data_sync = false;
// If true, issue fsync instead of fdatasync
static bool FLAGS_use_fsync = false;
// If true, do not write WAL for write.
static bool FLAGS_disable_wal = false;
// If true, create a snapshot per query when randomread benchmark is used
static bool FLAGS_use_snapshot = false;
// If true, call GetApproximateSizes per query when FLAGS_read_range is > 1
// and randomread benchmark is used
static bool FLAGS_get_approx = false;
// The total number of levels
static int FLAGS_num_levels = 7;
// Target level-0 file size for compaction
static int FLAGS_target_file_size_base = 2 * 1048576;
// A multiplier to compute targe level-N file size
static int FLAGS_target_file_size_multiplier = 1;
// Max bytes for level-1
static uint64_t FLAGS_max_bytes_for_level_base = 10 * 1048576;
// A multiplier to compute max bytes for level-N
static int FLAGS_max_bytes_for_level_multiplier = 10;
// Number of files in level-0 that will trigger put stop.
static int FLAGS_level0_stop_writes_trigger = 12;
// Number of files in level-0 that will slow down writes.
static int FLAGS_level0_slowdown_writes_trigger = 8;
// Number of files in level-0 when compactions start
static int FLAGS_level0_file_num_compaction_trigger = 4;
// Ratio of reads to writes (expressed as a percentage)
// for the ReadRandomWriteRandom workload. The default
// setting is 9 gets for every 1 put.
static int FLAGS_readwritepercent = 90;
// This percent of deletes are done (used in RandomWithVerify only)
// Must be smaller than total writepercent (i.e 100 - FLAGS_readwritepercent)
static int FLAGS_deletepercent = 2;
// Option to disable compation triggered by read.
static int FLAGS_disable_seek_compaction = false;
// Option to delete obsolete files periodically
// Default: 0 which means that obsolete files are
// deleted after every compaction run.
static uint64_t FLAGS_delete_obsolete_files_period_micros = 0;
// Algorithm to use to compress the database
static enum leveldb::CompressionType FLAGS_compression_type =
leveldb::kSnappyCompression;
// Allows compression for levels 0 and 1 to be disabled when
// other levels are compressed
static int FLAGS_min_level_to_compress = -1;
Allow having different compression algorithms on different levels. Summary: The leveldb API is enhanced to support different compression algorithms at different levels. This adds the option min_level_to_compress to db_bench that specifies the minimum level for which compression should be done when compression is enabled. This can be used to disable compression for levels 0 and 1 which are likely to suffer from stalls because of the CPU load for memtable flushes and (L0,L1) compaction. Level 0 is special as it gets frequent memtable flushes. Level 1 is special as it frequently gets all:all file compactions between it and level 0. But all other levels could be the same. For any level N where N > 1, the rate of sequential IO for that level should be the same. The last level is the exception because it might not be full and because files from it are not read to compact with the next larger level. The same amount of time will be spent doing compaction at any level N excluding N=0, 1 or the last level. By this standard all of those levels should use the same compression. The difference is that the loss (using more disk space) from a faster compression algorithm is less significant for N=2 than for N=3. So we might be willing to trade disk space for faster write rates with no compression for L0 and L1, snappy for L2, zlib for L3. Using a faster compression algorithm for the mid levels also allows us to reclaim some cpu without trading off much loss in disk space overhead. Also note that little is to be gained by compressing levels 0 and 1. For a 4-level tree they account for 10% of the data. For a 5-level tree they account for 1% of the data. With compression enabled: * memtable flush rate is ~18MB/second * (L0,L1) compaction rate is ~30MB/second With compression enabled but min_level_to_compress=2 * memtable flush rate is ~320MB/second * (L0,L1) compaction rate is ~560MB/second This practicaly takes the same code from https://reviews.facebook.net/D6225 but makes the leveldb api more general purpose with a few additional lines of code. Test Plan: make check Differential Revision: https://reviews.facebook.net/D6261
2012-10-28 07:13:17 +01:00
static int FLAGS_table_cache_numshardbits = 4;
// posix or hdfs environment
static leveldb::Env* FLAGS_env = leveldb::Env::Default();
// Stats are reported every N operations when this is greater
// than zero. When 0 the interval grows over time.
static int FLAGS_stats_interval = 0;
// Reports additional stats per interval when this is greater
// than 0.
static int FLAGS_stats_per_interval = 0;
// When not equal to 0 this make threads sleep at each stats
// reporting interval until the compaction score for all levels is
// less than or equal to this value.
static double FLAGS_rate_limit = 0;
// When FLAGS_rate_limit is set then this is the max time a put will be stalled.
static int FLAGS_rate_limit_delay_milliseconds = 1000;
// Control maximum bytes of overlaps in grandparent (i.e., level+2) before we
// stop building a single file in a level->level+1 compaction.
static int FLAGS_max_grandparent_overlap_factor = 10;
// Run read only benchmarks.
static bool FLAGS_read_only = false;
// Do not auto trigger compactions
static bool FLAGS_disable_auto_compactions = false;
// Cap the size of data in levelK for a compaction run
// that compacts Levelk with LevelK+1
static int FLAGS_source_compaction_factor = 1;
// Set the TTL for the WAL Files.
static uint64_t FLAGS_WAL_ttl_seconds = 0;
// Allow buffered io using OS buffers
static bool FLAGS_use_os_buffer;
// Allow filesystem to do read-aheads
static bool FLAGS_use_fsreadahead;
// Allow reads to occur via mmap-ing files
static bool FLAGS_use_mmap_reads;
// Allow writes to occur via mmap-ing files
static bool FLAGS_use_mmap_writes;
// Allow readaheads to occur for compactions
static bool FLAGS_use_readahead_compactions;
namespace leveldb {
// Helper for quickly generating random data.
class RandomGenerator {
private:
std::string data_;
unsigned int pos_;
public:
RandomGenerator() {
// We use a limited amount of data over and over again and ensure
// that it is larger than the compression window (32KB), and also
// large enough to serve all typical value sizes we want to write.
Random rnd(301);
std::string piece;
while (data_.size() < (unsigned)std::max(1048576, FLAGS_value_size)) {
// Add a short fragment that is as compressible as specified
// by FLAGS_compression_ratio.
test::CompressibleString(&rnd, FLAGS_compression_ratio, 100, &piece);
data_.append(piece);
}
pos_ = 0;
}
Slice Generate(unsigned int len) {
if (pos_ + len > data_.size()) {
pos_ = 0;
assert(len < data_.size());
}
pos_ += len;
return Slice(data_.data() + pos_ - len, len);
}
};
static Slice TrimSpace(Slice s) {
unsigned int start = 0;
while (start < s.size() && isspace(s[start])) {
start++;
}
unsigned int limit = s.size();
while (limit > start && isspace(s[limit-1])) {
limit--;
}
return Slice(s.data() + start, limit - start);
}
static void AppendWithSpace(std::string* str, Slice msg) {
if (msg.empty()) return;
if (!str->empty()) {
str->push_back(' ');
}
str->append(msg.data(), msg.size());
}
class Stats {
private:
int id_;
double start_;
double finish_;
double seconds_;
long done_;
long last_report_done_;
int next_report_;
int64_t bytes_;
double last_op_finish_;
double last_report_finish_;
HistogramImpl hist_;
std::string message_;
bool exclude_from_merge_;
public:
Stats() { Start(-1); }
void Start(int id) {
id_ = id;
next_report_ = FLAGS_stats_interval ? FLAGS_stats_interval : 100;
last_op_finish_ = start_;
hist_.Clear();
done_ = 0;
last_report_done_ = 0;
bytes_ = 0;
seconds_ = 0;
start_ = FLAGS_env->NowMicros();
finish_ = start_;
last_report_finish_ = start_;
message_.clear();
// When set, stats from this thread won't be merged with others.
exclude_from_merge_ = false;
}
void Merge(const Stats& other) {
if (other.exclude_from_merge_)
return;
hist_.Merge(other.hist_);
done_ += other.done_;
bytes_ += other.bytes_;
seconds_ += other.seconds_;
if (other.start_ < start_) start_ = other.start_;
if (other.finish_ > finish_) finish_ = other.finish_;
// Just keep the messages from one thread
if (message_.empty()) message_ = other.message_;
}
void Stop() {
finish_ = FLAGS_env->NowMicros();
seconds_ = (finish_ - start_) * 1e-6;
}
void AddMessage(Slice msg) {
AppendWithSpace(&message_, msg);
}
void SetId(int id) { id_ = id; }
void SetExcludeFromMerge() { exclude_from_merge_ = true; }
Improve statistics Summary: This adds more statistics to be reported by GetProperty("leveldb.stats"). The new stats include time spent waiting on stalls in MakeRoomForWrite. This also includes the total amplification rate where that is: (#bytes of sequential IO during compaction) / (#bytes from Put) This also includes a lot more data for the per-level compaction report. * Rn(MB) - MB read from level N during compaction between levels N and N+1 * Rnp1(MB) - MB read from level N+1 during compaction between levels N and N+1 * Wnew(MB) - new data written to the level during compaction * Amplify - ( Write(MB) + Rnp1(MB) ) / Rn(MB) * Rn - files read from level N during compaction between levels N and N+1 * Rnp1 - files read from level N+1 during compaction between levels N and N+1 * Wnp1 - files written to level N+1 during compaction between levels N and N+1 * NewW - new files written to level N+1 during compaction * Count - number of compactions done for this level This is the new output from DB::GetProperty("leveldb.stats"). The old output stopped at Write(MB) Compactions Level Files Size(MB) Time(sec) Read(MB) Write(MB) Rn(MB) Rnp1(MB) Wnew(MB) Amplify Read(MB/s) Write(MB/s) Rn Rnp1 Wnp1 NewW Count ------------------------------------------------------------------------------------------------------------------------------------- 0 3 6 33 0 576 0 0 576 -1.0 0.0 1.3 0 0 0 0 290 1 127 242 351 5316 5314 570 4747 567 17.0 12.1 12.1 287 2399 2685 286 32 2 161 328 54 822 824 326 496 328 4.0 1.9 1.9 160 251 411 160 161 Amplification: 22.3 rate, 0.56 GB in, 12.55 GB out Uptime(secs): 439.8 Stalls(secs): 206.938 level0_slowdown, 0.000 level0_numfiles, 24.129 memtable_compaction Task ID: # Blame Rev: Test Plan: run db_bench Revert Plan: Database Impact: Memcache Impact: Other Notes: EImportant: - begin *PUBLIC* platform impact section - Bugzilla: # - end platform impact - (cherry picked from commit ecdeead38f86cc02e754d0032600742c4f02fec8) Reviewers: dhruba Differential Revision: https://reviews.facebook.net/D6153
2012-10-23 19:34:09 +02:00
void FinishedSingleOp(DB* db) {
if (FLAGS_histogram) {
double now = FLAGS_env->NowMicros();
double micros = now - last_op_finish_;
hist_.Add(micros);
if (micros > 20000 && !FLAGS_stats_interval) {
fprintf(stderr, "long op: %.1f micros%30s\r", micros, "");
fflush(stderr);
}
last_op_finish_ = now;
}
done_++;
if (done_ >= next_report_) {
if (!FLAGS_stats_interval) {
if (next_report_ < 1000) next_report_ += 100;
else if (next_report_ < 5000) next_report_ += 500;
else if (next_report_ < 10000) next_report_ += 1000;
else if (next_report_ < 50000) next_report_ += 5000;
else if (next_report_ < 100000) next_report_ += 10000;
else if (next_report_ < 500000) next_report_ += 50000;
else next_report_ += 100000;
fprintf(stderr, "... finished %ld ops%30s\r", done_, "");
fflush(stderr);
} else {
double now = FLAGS_env->NowMicros();
fprintf(stderr,
"%s ... thread %d: (%ld,%ld) ops and (%.1f,%.1f) ops/second in (%.6f,%.6f) seconds\n",
FLAGS_env->TimeToString((uint64_t) now/1000000).c_str(),
id_,
Improve statistics Summary: This adds more statistics to be reported by GetProperty("leveldb.stats"). The new stats include time spent waiting on stalls in MakeRoomForWrite. This also includes the total amplification rate where that is: (#bytes of sequential IO during compaction) / (#bytes from Put) This also includes a lot more data for the per-level compaction report. * Rn(MB) - MB read from level N during compaction between levels N and N+1 * Rnp1(MB) - MB read from level N+1 during compaction between levels N and N+1 * Wnew(MB) - new data written to the level during compaction * Amplify - ( Write(MB) + Rnp1(MB) ) / Rn(MB) * Rn - files read from level N during compaction between levels N and N+1 * Rnp1 - files read from level N+1 during compaction between levels N and N+1 * Wnp1 - files written to level N+1 during compaction between levels N and N+1 * NewW - new files written to level N+1 during compaction * Count - number of compactions done for this level This is the new output from DB::GetProperty("leveldb.stats"). The old output stopped at Write(MB) Compactions Level Files Size(MB) Time(sec) Read(MB) Write(MB) Rn(MB) Rnp1(MB) Wnew(MB) Amplify Read(MB/s) Write(MB/s) Rn Rnp1 Wnp1 NewW Count ------------------------------------------------------------------------------------------------------------------------------------- 0 3 6 33 0 576 0 0 576 -1.0 0.0 1.3 0 0 0 0 290 1 127 242 351 5316 5314 570 4747 567 17.0 12.1 12.1 287 2399 2685 286 32 2 161 328 54 822 824 326 496 328 4.0 1.9 1.9 160 251 411 160 161 Amplification: 22.3 rate, 0.56 GB in, 12.55 GB out Uptime(secs): 439.8 Stalls(secs): 206.938 level0_slowdown, 0.000 level0_numfiles, 24.129 memtable_compaction Task ID: # Blame Rev: Test Plan: run db_bench Revert Plan: Database Impact: Memcache Impact: Other Notes: EImportant: - begin *PUBLIC* platform impact section - Bugzilla: # - end platform impact - (cherry picked from commit ecdeead38f86cc02e754d0032600742c4f02fec8) Reviewers: dhruba Differential Revision: https://reviews.facebook.net/D6153
2012-10-23 19:34:09 +02:00
done_ - last_report_done_, done_,
(done_ - last_report_done_) /
((now - last_report_finish_) / 1000000.0),
done_ / ((now - start_) / 1000000.0),
(now - last_report_finish_) / 1000000.0,
(now - start_) / 1000000.0);
Improve statistics Summary: This adds more statistics to be reported by GetProperty("leveldb.stats"). The new stats include time spent waiting on stalls in MakeRoomForWrite. This also includes the total amplification rate where that is: (#bytes of sequential IO during compaction) / (#bytes from Put) This also includes a lot more data for the per-level compaction report. * Rn(MB) - MB read from level N during compaction between levels N and N+1 * Rnp1(MB) - MB read from level N+1 during compaction between levels N and N+1 * Wnew(MB) - new data written to the level during compaction * Amplify - ( Write(MB) + Rnp1(MB) ) / Rn(MB) * Rn - files read from level N during compaction between levels N and N+1 * Rnp1 - files read from level N+1 during compaction between levels N and N+1 * Wnp1 - files written to level N+1 during compaction between levels N and N+1 * NewW - new files written to level N+1 during compaction * Count - number of compactions done for this level This is the new output from DB::GetProperty("leveldb.stats"). The old output stopped at Write(MB) Compactions Level Files Size(MB) Time(sec) Read(MB) Write(MB) Rn(MB) Rnp1(MB) Wnew(MB) Amplify Read(MB/s) Write(MB/s) Rn Rnp1 Wnp1 NewW Count ------------------------------------------------------------------------------------------------------------------------------------- 0 3 6 33 0 576 0 0 576 -1.0 0.0 1.3 0 0 0 0 290 1 127 242 351 5316 5314 570 4747 567 17.0 12.1 12.1 287 2399 2685 286 32 2 161 328 54 822 824 326 496 328 4.0 1.9 1.9 160 251 411 160 161 Amplification: 22.3 rate, 0.56 GB in, 12.55 GB out Uptime(secs): 439.8 Stalls(secs): 206.938 level0_slowdown, 0.000 level0_numfiles, 24.129 memtable_compaction Task ID: # Blame Rev: Test Plan: run db_bench Revert Plan: Database Impact: Memcache Impact: Other Notes: EImportant: - begin *PUBLIC* platform impact section - Bugzilla: # - end platform impact - (cherry picked from commit ecdeead38f86cc02e754d0032600742c4f02fec8) Reviewers: dhruba Differential Revision: https://reviews.facebook.net/D6153
2012-10-23 19:34:09 +02:00
if (FLAGS_stats_per_interval) {
std::string stats;
if (db && db->GetProperty("leveldb.stats", &stats))
fprintf(stderr, "%s\n", stats.c_str());
}
Improve statistics Summary: This adds more statistics to be reported by GetProperty("leveldb.stats"). The new stats include time spent waiting on stalls in MakeRoomForWrite. This also includes the total amplification rate where that is: (#bytes of sequential IO during compaction) / (#bytes from Put) This also includes a lot more data for the per-level compaction report. * Rn(MB) - MB read from level N during compaction between levels N and N+1 * Rnp1(MB) - MB read from level N+1 during compaction between levels N and N+1 * Wnew(MB) - new data written to the level during compaction * Amplify - ( Write(MB) + Rnp1(MB) ) / Rn(MB) * Rn - files read from level N during compaction between levels N and N+1 * Rnp1 - files read from level N+1 during compaction between levels N and N+1 * Wnp1 - files written to level N+1 during compaction between levels N and N+1 * NewW - new files written to level N+1 during compaction * Count - number of compactions done for this level This is the new output from DB::GetProperty("leveldb.stats"). The old output stopped at Write(MB) Compactions Level Files Size(MB) Time(sec) Read(MB) Write(MB) Rn(MB) Rnp1(MB) Wnew(MB) Amplify Read(MB/s) Write(MB/s) Rn Rnp1 Wnp1 NewW Count ------------------------------------------------------------------------------------------------------------------------------------- 0 3 6 33 0 576 0 0 576 -1.0 0.0 1.3 0 0 0 0 290 1 127 242 351 5316 5314 570 4747 567 17.0 12.1 12.1 287 2399 2685 286 32 2 161 328 54 822 824 326 496 328 4.0 1.9 1.9 160 251 411 160 161 Amplification: 22.3 rate, 0.56 GB in, 12.55 GB out Uptime(secs): 439.8 Stalls(secs): 206.938 level0_slowdown, 0.000 level0_numfiles, 24.129 memtable_compaction Task ID: # Blame Rev: Test Plan: run db_bench Revert Plan: Database Impact: Memcache Impact: Other Notes: EImportant: - begin *PUBLIC* platform impact section - Bugzilla: # - end platform impact - (cherry picked from commit ecdeead38f86cc02e754d0032600742c4f02fec8) Reviewers: dhruba Differential Revision: https://reviews.facebook.net/D6153
2012-10-23 19:34:09 +02:00
fflush(stderr);
next_report_ += FLAGS_stats_interval;
last_report_finish_ = now;
last_report_done_ = done_;
}
}
}
void AddBytes(int64_t n) {
bytes_ += n;
}
void Report(const Slice& name) {
// Pretend at least one op was done in case we are running a benchmark
// that does not call FinishedSingleOp().
if (done_ < 1) done_ = 1;
std::string extra;
if (bytes_ > 0) {
// Rate is computed on actual elapsed time, not the sum of per-thread
// elapsed times.
double elapsed = (finish_ - start_) * 1e-6;
char rate[100];
snprintf(rate, sizeof(rate), "%6.1f MB/s",
(bytes_ / 1048576.0) / elapsed);
extra = rate;
}
AppendWithSpace(&extra, message_);
double elapsed = (finish_ - start_) * 1e-6;
double throughput = (double)done_/elapsed;
fprintf(stdout, "%-12s : %11.3f micros/op %ld ops/sec;%s%s\n",
name.ToString().c_str(),
seconds_ * 1e6 / done_,
(long)throughput,
(extra.empty() ? "" : " "),
extra.c_str());
if (FLAGS_histogram) {
fprintf(stdout, "Microseconds per op:\n%s\n", hist_.ToString().c_str());
}
fflush(stdout);
}
};
// State shared by all concurrent executions of the same benchmark.
struct SharedState {
port::Mutex mu;
port::CondVar cv;
int total;
// Each thread goes through the following states:
// (1) initializing
// (2) waiting for others to be initialized
// (3) running
// (4) done
long num_initialized;
long num_done;
bool start;
SharedState() : cv(&mu) { }
};
// Per-thread state for concurrent executions of the same benchmark.
struct ThreadState {
int tid; // 0..n-1 when running in n threads
Random rand; // Has different seeds for different threads
Stats stats;
SharedState* shared;
/* implicit */ ThreadState(int index)
: tid(index),
rand((FLAGS_seed ? FLAGS_seed : 1000) + index) {
}
};
class Duration {
public:
Duration(int max_seconds, long max_ops) {
max_seconds_ = max_seconds;
max_ops_= max_ops;
ops_ = 0;
start_at_ = FLAGS_env->NowMicros();
}
bool Done(int increment) {
ops_ += increment;
if (max_seconds_) {
if (!(ops_ % 1000)) {
double now = FLAGS_env->NowMicros();
return ((now - start_at_) / 1000000.0) >= max_seconds_;
} else {
return false;
}
} else {
return ops_ > max_ops_;
}
}
private:
int max_seconds_;
long max_ops_;
long ops_;
double start_at_;
};
class Benchmark {
private:
shared_ptr<Cache> cache_;
const FilterPolicy* filter_policy_;
DB* db_;
long num_;
int value_size_;
int key_size_;
int entries_per_batch_;
WriteOptions write_options_;
long reads_;
long writes_;
long readwrites_;
int heap_counter_;
char keyFormat_[100]; // this string will contain the format of key. e.g "%016d"
void PrintHeader() {
PrintEnvironment();
fprintf(stdout, "Keys: %d bytes each\n", FLAGS_key_size);
fprintf(stdout, "Values: %d bytes each (%d bytes after compression)\n",
FLAGS_value_size,
static_cast<int>(FLAGS_value_size * FLAGS_compression_ratio + 0.5));
fprintf(stdout, "Entries: %ld\n", num_);
fprintf(stdout, "RawSize: %.1f MB (estimated)\n",
((static_cast<int64_t>(FLAGS_key_size + FLAGS_value_size) * num_)
/ 1048576.0));
fprintf(stdout, "FileSize: %.1f MB (estimated)\n",
(((FLAGS_key_size + FLAGS_value_size * FLAGS_compression_ratio) * num_)
/ 1048576.0));
fprintf(stdout, "Write rate limit: %d\n", FLAGS_writes_per_second);
switch (FLAGS_compression_type) {
case leveldb::kNoCompression:
fprintf(stdout, "Compression: none\n");
break;
case leveldb::kSnappyCompression:
fprintf(stdout, "Compression: snappy\n");
break;
case leveldb::kZlibCompression:
fprintf(stdout, "Compression: zlib\n");
break;
case leveldb::kBZip2Compression:
fprintf(stdout, "Compression: bzip2\n");
break;
}
PrintWarnings();
fprintf(stdout, "------------------------------------------------\n");
}
void PrintWarnings() {
#if defined(__GNUC__) && !defined(__OPTIMIZE__)
fprintf(stdout,
"WARNING: Optimization is disabled: benchmarks unnecessarily slow\n"
);
#endif
#ifndef NDEBUG
fprintf(stdout,
"WARNING: Assertions are enabled; benchmarks unnecessarily slow\n");
#endif
if (FLAGS_compression_type != leveldb::kNoCompression) {
// The test string should not be too small.
const int len = FLAGS_block_size;
char* text = (char*) malloc(len+1);
bool result = true;
const char* name = nullptr;
std::string compressed;
memset(text, (int) 'y', len);
text[len] = '\0';
switch (FLAGS_compression_type) {
case kSnappyCompression:
result = port::Snappy_Compress(Options().compression_opts, text,
strlen(text), &compressed);
name = "Snappy";
break;
case kZlibCompression:
result = port::Zlib_Compress(Options().compression_opts, text,
strlen(text), &compressed);
name = "Zlib";
break;
case kBZip2Compression:
result = port::BZip2_Compress(Options().compression_opts, text,
strlen(text), &compressed);
name = "BZip2";
break;
case kNoCompression:
assert(false); // cannot happen
break;
}
if (!result) {
fprintf(stdout, "WARNING: %s compression is not enabled\n", name);
} else if (name && compressed.size() >= strlen(text)) {
fprintf(stdout, "WARNING: %s compression is not effective\n", name);
}
free(text);
}
}
void PrintEnvironment() {
fprintf(stderr, "LevelDB: version %d.%d\n",
kMajorVersion, kMinorVersion);
#if defined(__linux)
time_t now = time(nullptr);
fprintf(stderr, "Date: %s", ctime(&now)); // ctime() adds newline
FILE* cpuinfo = fopen("/proc/cpuinfo", "r");
if (cpuinfo != nullptr) {
char line[1000];
int num_cpus = 0;
std::string cpu_type;
std::string cache_size;
while (fgets(line, sizeof(line), cpuinfo) != nullptr) {
const char* sep = strchr(line, ':');
if (sep == nullptr) {
continue;
}
Slice key = TrimSpace(Slice(line, sep - 1 - line));
Slice val = TrimSpace(Slice(sep + 1));
if (key == "model name") {
++num_cpus;
cpu_type = val.ToString();
} else if (key == "cache size") {
cache_size = val.ToString();
}
}
fclose(cpuinfo);
fprintf(stderr, "CPU: %d * %s\n", num_cpus, cpu_type.c_str());
fprintf(stderr, "CPUCache: %s\n", cache_size.c_str());
}
#endif
}
void PrintHistogram(Histograms histogram_type, std::string name) {
HistogramData histogramData;
dbstats->histogramData(histogram_type, &histogramData);
fprintf(stdout, "%s statistics Percentiles :", name.c_str());
fprintf(stdout, "50 : %f ",histogramData.median);
fprintf(stdout, "95 : %f ", histogramData.percentile95);
fprintf(stdout, "99 : %f\n", histogramData.percentile99);
}
void PrintStatistics() {
if (FLAGS_statistics) {
fprintf(stdout, "File opened:%ld closed:%ld errors:%ld\n"
"Block Cache Hit Count:%ld Block Cache Miss Count:%ld\n"
"Bloom Filter Useful: %ld \n"
"Compaction key_drop_newer_entry: %ld key_drop_obsolete: %ld "
"Compaction key_drop_user: %ld\n",
dbstats->getTickerCount(NO_FILE_OPENS),
dbstats->getTickerCount(NO_FILE_CLOSES),
dbstats->getTickerCount(NO_FILE_ERRORS),
dbstats->getTickerCount(BLOCK_CACHE_HIT),
dbstats->getTickerCount(BLOCK_CACHE_MISS),
dbstats->getTickerCount(BLOOM_FILTER_USEFUL),
dbstats->getTickerCount(COMPACTION_KEY_DROP_NEWER_ENTRY),
dbstats->getTickerCount(COMPACTION_KEY_DROP_OBSOLETE),
dbstats->getTickerCount(COMPACTION_KEY_DROP_USER));
PrintHistogram(DB_GET, "DB_GET");
PrintHistogram(DB_WRITE, "DB_WRITE");
PrintHistogram(COMPACTION_TIME, "COMPACTION_TIME");
}
}
public:
Benchmark()
: cache_(FLAGS_cache_size >= 0 ?
(FLAGS_cache_numshardbits >= 1 ?
NewLRUCache(FLAGS_cache_size, FLAGS_cache_numshardbits) :
NewLRUCache(FLAGS_cache_size)) : nullptr),
filter_policy_(FLAGS_bloom_bits >= 0
? NewBloomFilterPolicy(FLAGS_bloom_bits)
: nullptr),
db_(nullptr),
num_(FLAGS_num),
value_size_(FLAGS_value_size),
key_size_(FLAGS_key_size),
entries_per_batch_(1),
reads_(FLAGS_reads < 0 ? FLAGS_num : FLAGS_reads),
writes_(FLAGS_writes < 0 ? FLAGS_num : FLAGS_writes),
readwrites_((FLAGS_writes < 0 && FLAGS_reads < 0)? FLAGS_num :
((FLAGS_writes > FLAGS_reads) ? FLAGS_writes : FLAGS_reads)
),
heap_counter_(0) {
std::vector<std::string> files;
FLAGS_env->GetChildren(FLAGS_db, &files);
for (unsigned int i = 0; i < files.size(); i++) {
if (Slice(files[i]).starts_with("heap-")) {
FLAGS_env->DeleteFile(std::string(FLAGS_db) + "/" + files[i]);
}
}
if (!FLAGS_use_existing_db) {
DestroyDB(FLAGS_db, Options());
}
}
~Benchmark() {
delete db_;
delete filter_policy_;
}
//this function will construct string format for key. e.g "%016d"
void ConstructStrFormatForKey(char* str, int keySize)
{
str[0] = '%';
str[1] = '0';
sprintf(str+2, "%dd%s", keySize, "%s");
}
unique_ptr<char []> GenerateKeyFromInt(int v, const char* suffix = "")
{
unique_ptr<char []> keyInStr(new char[MAX_KEY_SIZE]);
snprintf(keyInStr.get(), MAX_KEY_SIZE, keyFormat_, v, suffix);
return keyInStr;
}
void Run() {
PrintHeader();
Open();
const char* benchmarks = FLAGS_benchmarks;
while (benchmarks != nullptr) {
const char* sep = strchr(benchmarks, ',');
Slice name;
if (sep == nullptr) {
name = benchmarks;
benchmarks = nullptr;
} else {
name = Slice(benchmarks, sep - benchmarks);
benchmarks = sep + 1;
}
// Reset parameters that may be overriddden bwlow
num_ = FLAGS_num;
reads_ = (FLAGS_reads < 0 ? FLAGS_num : FLAGS_reads);
writes_ = (FLAGS_writes < 0 ? FLAGS_num : FLAGS_writes);
value_size_ = FLAGS_value_size;
key_size_ = FLAGS_key_size;
ConstructStrFormatForKey(keyFormat_, key_size_);
entries_per_batch_ = 1;
write_options_ = WriteOptions();
if (FLAGS_sync) {
write_options_.sync = true;
}
write_options_.disableWAL = FLAGS_disable_wal;
void (Benchmark::*method)(ThreadState*) = nullptr;
bool fresh_db = false;
int num_threads = FLAGS_threads;
if (name == Slice("fillseq")) {
fresh_db = true;
method = &Benchmark::WriteSeq;
} else if (name == Slice("fillbatch")) {
fresh_db = true;
entries_per_batch_ = 1000;
method = &Benchmark::WriteSeq;
} else if (name == Slice("fillrandom")) {
fresh_db = true;
method = &Benchmark::WriteRandom;
} else if (name == Slice("overwrite")) {
fresh_db = false;
method = &Benchmark::WriteRandom;
} else if (name == Slice("fillsync")) {
fresh_db = true;
num_ /= 1000;
write_options_.sync = true;
method = &Benchmark::WriteRandom;
} else if (name == Slice("fill100K")) {
fresh_db = true;
num_ /= 1000;
value_size_ = 100 * 1000;
method = &Benchmark::WriteRandom;
} else if (name == Slice("readseq")) {
method = &Benchmark::ReadSequential;
} else if (name == Slice("readreverse")) {
method = &Benchmark::ReadReverse;
} else if (name == Slice("readrandom")) {
method = &Benchmark::ReadRandom;
} else if (name == Slice("readmissing")) {
method = &Benchmark::ReadMissing;
} else if (name == Slice("seekrandom")) {
method = &Benchmark::SeekRandom;
} else if (name == Slice("readhot")) {
method = &Benchmark::ReadHot;
} else if (name == Slice("readrandomsmall")) {
reads_ /= 1000;
method = &Benchmark::ReadRandom;
} else if (name == Slice("deleteseq")) {
method = &Benchmark::DeleteSeq;
} else if (name == Slice("deleterandom")) {
method = &Benchmark::DeleteRandom;
} else if (name == Slice("readwhilewriting")) {
num_threads++; // Add extra thread for writing
method = &Benchmark::ReadWhileWriting;
} else if (name == Slice("readrandomwriterandom")) {
method = &Benchmark::ReadRandomWriteRandom;
} else if (name == Slice("updaterandom")) {
method = &Benchmark::UpdateRandom;
} else if (name == Slice("randomwithverify")) {
method = &Benchmark::RandomWithVerify;
} else if (name == Slice("compact")) {
method = &Benchmark::Compact;
} else if (name == Slice("crc32c")) {
method = &Benchmark::Crc32c;
} else if (name == Slice("acquireload")) {
method = &Benchmark::AcquireLoad;
} else if (name == Slice("snappycomp")) {
method = &Benchmark::SnappyCompress;
} else if (name == Slice("snappyuncomp")) {
method = &Benchmark::SnappyUncompress;
} else if (name == Slice("heapprofile")) {
HeapProfile();
} else if (name == Slice("stats")) {
PrintStats("leveldb.stats");
} else if (name == Slice("levelstats")) {
PrintStats("leveldb.levelstats");
} else if (name == Slice("sstables")) {
PrintStats("leveldb.sstables");
} else {
if (name != Slice()) { // No error message for empty name
fprintf(stderr, "unknown benchmark '%s'\n", name.ToString().c_str());
}
}
if (fresh_db) {
if (FLAGS_use_existing_db) {
fprintf(stdout, "%-12s : skipped (--use_existing_db is true)\n",
name.ToString().c_str());
method = nullptr;
} else {
delete db_;
db_ = nullptr;
DestroyDB(FLAGS_db, Options());
Open();
}
}
if (method != nullptr) {
RunBenchmark(num_threads, name, method);
}
}
PrintStatistics();
}
private:
struct ThreadArg {
Benchmark* bm;
SharedState* shared;
ThreadState* thread;
void (Benchmark::*method)(ThreadState*);
};
static void ThreadBody(void* v) {
ThreadArg* arg = reinterpret_cast<ThreadArg*>(v);
SharedState* shared = arg->shared;
ThreadState* thread = arg->thread;
{
MutexLock l(&shared->mu);
shared->num_initialized++;
if (shared->num_initialized >= shared->total) {
shared->cv.SignalAll();
}
while (!shared->start) {
shared->cv.Wait();
}
}
thread->stats.Start(thread->tid);
(arg->bm->*(arg->method))(thread);
thread->stats.Stop();
{
MutexLock l(&shared->mu);
shared->num_done++;
if (shared->num_done >= shared->total) {
shared->cv.SignalAll();
}
}
}
void RunBenchmark(int n, Slice name,
void (Benchmark::*method)(ThreadState*)) {
SharedState shared;
shared.total = n;
shared.num_initialized = 0;
shared.num_done = 0;
shared.start = false;
ThreadArg* arg = new ThreadArg[n];
for (int i = 0; i < n; i++) {
arg[i].bm = this;
arg[i].method = method;
arg[i].shared = &shared;
arg[i].thread = new ThreadState(i);
arg[i].thread->shared = &shared;
FLAGS_env->StartThread(ThreadBody, &arg[i]);
}
shared.mu.Lock();
while (shared.num_initialized < n) {
shared.cv.Wait();
}
shared.start = true;
shared.cv.SignalAll();
while (shared.num_done < n) {
shared.cv.Wait();
}
shared.mu.Unlock();
// Stats for some threads can be excluded.
Stats merge_stats;
for (int i = 0; i < n; i++) {
merge_stats.Merge(arg[i].thread->stats);
}
merge_stats.Report(name);
for (int i = 0; i < n; i++) {
delete arg[i].thread;
}
delete[] arg;
}
void Crc32c(ThreadState* thread) {
// Checksum about 500MB of data total
const int size = 4096;
const char* label = "(4K per op)";
std::string data(size, 'x');
int64_t bytes = 0;
uint32_t crc = 0;
while (bytes < 500 * 1048576) {
crc = crc32c::Value(data.data(), size);
thread->stats.FinishedSingleOp(nullptr);
bytes += size;
}
// Print so result is not dead
fprintf(stderr, "... crc=0x%x\r", static_cast<unsigned int>(crc));
thread->stats.AddBytes(bytes);
thread->stats.AddMessage(label);
}
void AcquireLoad(ThreadState* thread) {
int dummy;
port::AtomicPointer ap(&dummy);
int count = 0;
void *ptr = nullptr;
thread->stats.AddMessage("(each op is 1000 loads)");
while (count < 100000) {
for (int i = 0; i < 1000; i++) {
ptr = ap.Acquire_Load();
}
count++;
thread->stats.FinishedSingleOp(nullptr);
}
if (ptr == nullptr) exit(1); // Disable unused variable warning.
}
void SnappyCompress(ThreadState* thread) {
RandomGenerator gen;
Slice input = gen.Generate(Options().block_size);
int64_t bytes = 0;
int64_t produced = 0;
bool ok = true;
std::string compressed;
while (ok && bytes < 1024 * 1048576) { // Compress 1G
ok = port::Snappy_Compress(Options().compression_opts, input.data(),
input.size(), &compressed);
produced += compressed.size();
bytes += input.size();
thread->stats.FinishedSingleOp(nullptr);
}
if (!ok) {
thread->stats.AddMessage("(snappy failure)");
} else {
char buf[100];
snprintf(buf, sizeof(buf), "(output: %.1f%%)",
(produced * 100.0) / bytes);
thread->stats.AddMessage(buf);
thread->stats.AddBytes(bytes);
}
}
void SnappyUncompress(ThreadState* thread) {
RandomGenerator gen;
Slice input = gen.Generate(Options().block_size);
std::string compressed;
bool ok = port::Snappy_Compress(Options().compression_opts, input.data(),
input.size(), &compressed);
int64_t bytes = 0;
char* uncompressed = new char[input.size()];
while (ok && bytes < 1024 * 1048576) { // Compress 1G
ok = port::Snappy_Uncompress(compressed.data(), compressed.size(),
uncompressed);
bytes += input.size();
thread->stats.FinishedSingleOp(nullptr);
}
delete[] uncompressed;
if (!ok) {
thread->stats.AddMessage("(snappy failure)");
} else {
thread->stats.AddBytes(bytes);
}
}
void Open() {
assert(db_ == nullptr);
Options options;
options.create_if_missing = !FLAGS_use_existing_db;
options.block_cache = cache_;
if (cache_ == nullptr) {
options.no_block_cache = true;
}
options.write_buffer_size = FLAGS_write_buffer_size;
options.max_write_buffer_number = FLAGS_max_write_buffer_number;
options.max_background_compactions = FLAGS_max_background_compactions;
options.block_size = FLAGS_block_size;
options.filter_policy = filter_policy_;
options.max_open_files = FLAGS_open_files;
options.statistics = dbstats;
options.env = FLAGS_env;
options.disableDataSync = FLAGS_disable_data_sync;
options.use_fsync = FLAGS_use_fsync;
options.num_levels = FLAGS_num_levels;
options.target_file_size_base = FLAGS_target_file_size_base;
options.target_file_size_multiplier = FLAGS_target_file_size_multiplier;
options.max_bytes_for_level_base = FLAGS_max_bytes_for_level_base;
options.max_bytes_for_level_multiplier =
FLAGS_max_bytes_for_level_multiplier;
options.level0_stop_writes_trigger = FLAGS_level0_stop_writes_trigger;
Improve statistics Summary: This adds more statistics to be reported by GetProperty("leveldb.stats"). The new stats include time spent waiting on stalls in MakeRoomForWrite. This also includes the total amplification rate where that is: (#bytes of sequential IO during compaction) / (#bytes from Put) This also includes a lot more data for the per-level compaction report. * Rn(MB) - MB read from level N during compaction between levels N and N+1 * Rnp1(MB) - MB read from level N+1 during compaction between levels N and N+1 * Wnew(MB) - new data written to the level during compaction * Amplify - ( Write(MB) + Rnp1(MB) ) / Rn(MB) * Rn - files read from level N during compaction between levels N and N+1 * Rnp1 - files read from level N+1 during compaction between levels N and N+1 * Wnp1 - files written to level N+1 during compaction between levels N and N+1 * NewW - new files written to level N+1 during compaction * Count - number of compactions done for this level This is the new output from DB::GetProperty("leveldb.stats"). The old output stopped at Write(MB) Compactions Level Files Size(MB) Time(sec) Read(MB) Write(MB) Rn(MB) Rnp1(MB) Wnew(MB) Amplify Read(MB/s) Write(MB/s) Rn Rnp1 Wnp1 NewW Count ------------------------------------------------------------------------------------------------------------------------------------- 0 3 6 33 0 576 0 0 576 -1.0 0.0 1.3 0 0 0 0 290 1 127 242 351 5316 5314 570 4747 567 17.0 12.1 12.1 287 2399 2685 286 32 2 161 328 54 822 824 326 496 328 4.0 1.9 1.9 160 251 411 160 161 Amplification: 22.3 rate, 0.56 GB in, 12.55 GB out Uptime(secs): 439.8 Stalls(secs): 206.938 level0_slowdown, 0.000 level0_numfiles, 24.129 memtable_compaction Task ID: # Blame Rev: Test Plan: run db_bench Revert Plan: Database Impact: Memcache Impact: Other Notes: EImportant: - begin *PUBLIC* platform impact section - Bugzilla: # - end platform impact - (cherry picked from commit ecdeead38f86cc02e754d0032600742c4f02fec8) Reviewers: dhruba Differential Revision: https://reviews.facebook.net/D6153
2012-10-23 19:34:09 +02:00
options.level0_file_num_compaction_trigger =
FLAGS_level0_file_num_compaction_trigger;
options.level0_slowdown_writes_trigger =
FLAGS_level0_slowdown_writes_trigger;
options.compression = FLAGS_compression_type;
options.WAL_ttl_seconds = FLAGS_WAL_ttl_seconds;
Allow having different compression algorithms on different levels. Summary: The leveldb API is enhanced to support different compression algorithms at different levels. This adds the option min_level_to_compress to db_bench that specifies the minimum level for which compression should be done when compression is enabled. This can be used to disable compression for levels 0 and 1 which are likely to suffer from stalls because of the CPU load for memtable flushes and (L0,L1) compaction. Level 0 is special as it gets frequent memtable flushes. Level 1 is special as it frequently gets all:all file compactions between it and level 0. But all other levels could be the same. For any level N where N > 1, the rate of sequential IO for that level should be the same. The last level is the exception because it might not be full and because files from it are not read to compact with the next larger level. The same amount of time will be spent doing compaction at any level N excluding N=0, 1 or the last level. By this standard all of those levels should use the same compression. The difference is that the loss (using more disk space) from a faster compression algorithm is less significant for N=2 than for N=3. So we might be willing to trade disk space for faster write rates with no compression for L0 and L1, snappy for L2, zlib for L3. Using a faster compression algorithm for the mid levels also allows us to reclaim some cpu without trading off much loss in disk space overhead. Also note that little is to be gained by compressing levels 0 and 1. For a 4-level tree they account for 10% of the data. For a 5-level tree they account for 1% of the data. With compression enabled: * memtable flush rate is ~18MB/second * (L0,L1) compaction rate is ~30MB/second With compression enabled but min_level_to_compress=2 * memtable flush rate is ~320MB/second * (L0,L1) compaction rate is ~560MB/second This practicaly takes the same code from https://reviews.facebook.net/D6225 but makes the leveldb api more general purpose with a few additional lines of code. Test Plan: make check Differential Revision: https://reviews.facebook.net/D6261
2012-10-28 07:13:17 +01:00
if (FLAGS_min_level_to_compress >= 0) {
assert(FLAGS_min_level_to_compress <= FLAGS_num_levels);
options.compression_per_level.resize(FLAGS_num_levels);
for (int i = 0; i < FLAGS_min_level_to_compress; i++) {
Allow having different compression algorithms on different levels. Summary: The leveldb API is enhanced to support different compression algorithms at different levels. This adds the option min_level_to_compress to db_bench that specifies the minimum level for which compression should be done when compression is enabled. This can be used to disable compression for levels 0 and 1 which are likely to suffer from stalls because of the CPU load for memtable flushes and (L0,L1) compaction. Level 0 is special as it gets frequent memtable flushes. Level 1 is special as it frequently gets all:all file compactions between it and level 0. But all other levels could be the same. For any level N where N > 1, the rate of sequential IO for that level should be the same. The last level is the exception because it might not be full and because files from it are not read to compact with the next larger level. The same amount of time will be spent doing compaction at any level N excluding N=0, 1 or the last level. By this standard all of those levels should use the same compression. The difference is that the loss (using more disk space) from a faster compression algorithm is less significant for N=2 than for N=3. So we might be willing to trade disk space for faster write rates with no compression for L0 and L1, snappy for L2, zlib for L3. Using a faster compression algorithm for the mid levels also allows us to reclaim some cpu without trading off much loss in disk space overhead. Also note that little is to be gained by compressing levels 0 and 1. For a 4-level tree they account for 10% of the data. For a 5-level tree they account for 1% of the data. With compression enabled: * memtable flush rate is ~18MB/second * (L0,L1) compaction rate is ~30MB/second With compression enabled but min_level_to_compress=2 * memtable flush rate is ~320MB/second * (L0,L1) compaction rate is ~560MB/second This practicaly takes the same code from https://reviews.facebook.net/D6225 but makes the leveldb api more general purpose with a few additional lines of code. Test Plan: make check Differential Revision: https://reviews.facebook.net/D6261
2012-10-28 07:13:17 +01:00
options.compression_per_level[i] = kNoCompression;
}
for (int i = FLAGS_min_level_to_compress;
Allow having different compression algorithms on different levels. Summary: The leveldb API is enhanced to support different compression algorithms at different levels. This adds the option min_level_to_compress to db_bench that specifies the minimum level for which compression should be done when compression is enabled. This can be used to disable compression for levels 0 and 1 which are likely to suffer from stalls because of the CPU load for memtable flushes and (L0,L1) compaction. Level 0 is special as it gets frequent memtable flushes. Level 1 is special as it frequently gets all:all file compactions between it and level 0. But all other levels could be the same. For any level N where N > 1, the rate of sequential IO for that level should be the same. The last level is the exception because it might not be full and because files from it are not read to compact with the next larger level. The same amount of time will be spent doing compaction at any level N excluding N=0, 1 or the last level. By this standard all of those levels should use the same compression. The difference is that the loss (using more disk space) from a faster compression algorithm is less significant for N=2 than for N=3. So we might be willing to trade disk space for faster write rates with no compression for L0 and L1, snappy for L2, zlib for L3. Using a faster compression algorithm for the mid levels also allows us to reclaim some cpu without trading off much loss in disk space overhead. Also note that little is to be gained by compressing levels 0 and 1. For a 4-level tree they account for 10% of the data. For a 5-level tree they account for 1% of the data. With compression enabled: * memtable flush rate is ~18MB/second * (L0,L1) compaction rate is ~30MB/second With compression enabled but min_level_to_compress=2 * memtable flush rate is ~320MB/second * (L0,L1) compaction rate is ~560MB/second This practicaly takes the same code from https://reviews.facebook.net/D6225 but makes the leveldb api more general purpose with a few additional lines of code. Test Plan: make check Differential Revision: https://reviews.facebook.net/D6261
2012-10-28 07:13:17 +01:00
i < FLAGS_num_levels; i++) {
options.compression_per_level[i] = FLAGS_compression_type;
}
}
options.disable_seek_compaction = FLAGS_disable_seek_compaction;
options.delete_obsolete_files_period_micros =
FLAGS_delete_obsolete_files_period_micros;
options.rate_limit = FLAGS_rate_limit;
options.rate_limit_delay_milliseconds = FLAGS_rate_limit_delay_milliseconds;
options.table_cache_numshardbits = FLAGS_table_cache_numshardbits;
options.max_grandparent_overlap_factor =
FLAGS_max_grandparent_overlap_factor;
options.disable_auto_compactions = FLAGS_disable_auto_compactions;
options.source_compaction_factor = FLAGS_source_compaction_factor;
// fill storage options
options.allow_os_buffer = FLAGS_use_os_buffer;
options.allow_readahead = FLAGS_use_fsreadahead;
options.allow_mmap_reads = FLAGS_use_mmap_reads;
options.allow_mmap_writes = FLAGS_use_mmap_writes;
options.allow_readahead_compactions = FLAGS_use_readahead_compactions;
Status s;
if(FLAGS_read_only) {
s = DB::OpenForReadOnly(options, FLAGS_db, &db_);
} else {
s = DB::Open(options, FLAGS_db, &db_);
}
if (!s.ok()) {
fprintf(stderr, "open error: %s\n", s.ToString().c_str());
exit(1);
}
Allow having different compression algorithms on different levels. Summary: The leveldb API is enhanced to support different compression algorithms at different levels. This adds the option min_level_to_compress to db_bench that specifies the minimum level for which compression should be done when compression is enabled. This can be used to disable compression for levels 0 and 1 which are likely to suffer from stalls because of the CPU load for memtable flushes and (L0,L1) compaction. Level 0 is special as it gets frequent memtable flushes. Level 1 is special as it frequently gets all:all file compactions between it and level 0. But all other levels could be the same. For any level N where N > 1, the rate of sequential IO for that level should be the same. The last level is the exception because it might not be full and because files from it are not read to compact with the next larger level. The same amount of time will be spent doing compaction at any level N excluding N=0, 1 or the last level. By this standard all of those levels should use the same compression. The difference is that the loss (using more disk space) from a faster compression algorithm is less significant for N=2 than for N=3. So we might be willing to trade disk space for faster write rates with no compression for L0 and L1, snappy for L2, zlib for L3. Using a faster compression algorithm for the mid levels also allows us to reclaim some cpu without trading off much loss in disk space overhead. Also note that little is to be gained by compressing levels 0 and 1. For a 4-level tree they account for 10% of the data. For a 5-level tree they account for 1% of the data. With compression enabled: * memtable flush rate is ~18MB/second * (L0,L1) compaction rate is ~30MB/second With compression enabled but min_level_to_compress=2 * memtable flush rate is ~320MB/second * (L0,L1) compaction rate is ~560MB/second This practicaly takes the same code from https://reviews.facebook.net/D6225 but makes the leveldb api more general purpose with a few additional lines of code. Test Plan: make check Differential Revision: https://reviews.facebook.net/D6261
2012-10-28 07:13:17 +01:00
if (FLAGS_min_level_to_compress >= 0) {
options.compression_per_level.clear();
Allow having different compression algorithms on different levels. Summary: The leveldb API is enhanced to support different compression algorithms at different levels. This adds the option min_level_to_compress to db_bench that specifies the minimum level for which compression should be done when compression is enabled. This can be used to disable compression for levels 0 and 1 which are likely to suffer from stalls because of the CPU load for memtable flushes and (L0,L1) compaction. Level 0 is special as it gets frequent memtable flushes. Level 1 is special as it frequently gets all:all file compactions between it and level 0. But all other levels could be the same. For any level N where N > 1, the rate of sequential IO for that level should be the same. The last level is the exception because it might not be full and because files from it are not read to compact with the next larger level. The same amount of time will be spent doing compaction at any level N excluding N=0, 1 or the last level. By this standard all of those levels should use the same compression. The difference is that the loss (using more disk space) from a faster compression algorithm is less significant for N=2 than for N=3. So we might be willing to trade disk space for faster write rates with no compression for L0 and L1, snappy for L2, zlib for L3. Using a faster compression algorithm for the mid levels also allows us to reclaim some cpu without trading off much loss in disk space overhead. Also note that little is to be gained by compressing levels 0 and 1. For a 4-level tree they account for 10% of the data. For a 5-level tree they account for 1% of the data. With compression enabled: * memtable flush rate is ~18MB/second * (L0,L1) compaction rate is ~30MB/second With compression enabled but min_level_to_compress=2 * memtable flush rate is ~320MB/second * (L0,L1) compaction rate is ~560MB/second This practicaly takes the same code from https://reviews.facebook.net/D6225 but makes the leveldb api more general purpose with a few additional lines of code. Test Plan: make check Differential Revision: https://reviews.facebook.net/D6261
2012-10-28 07:13:17 +01:00
}
}
void WriteSeq(ThreadState* thread) {
DoWrite(thread, true);
}
void WriteRandom(ThreadState* thread) {
DoWrite(thread, false);
}
void DoWrite(ThreadState* thread, bool seq) {
Duration duration(seq ? 0 : FLAGS_duration, writes_);
if (num_ != FLAGS_num) {
char msg[100];
snprintf(msg, sizeof(msg), "(%ld ops)", num_);
thread->stats.AddMessage(msg);
}
RandomGenerator gen;
WriteBatch batch;
Status s;
int64_t bytes = 0;
int i = 0;
while (!duration.Done(entries_per_batch_)) {
batch.Clear();
for (int j = 0; j < entries_per_batch_; j++) {
const int k = seq ? i+j : (thread->rand.Next() % FLAGS_num);
unique_ptr<char []> key = GenerateKeyFromInt(k);
batch.Put(key.get(), gen.Generate(value_size_));
bytes += value_size_ + strlen(key.get());
Improve statistics Summary: This adds more statistics to be reported by GetProperty("leveldb.stats"). The new stats include time spent waiting on stalls in MakeRoomForWrite. This also includes the total amplification rate where that is: (#bytes of sequential IO during compaction) / (#bytes from Put) This also includes a lot more data for the per-level compaction report. * Rn(MB) - MB read from level N during compaction between levels N and N+1 * Rnp1(MB) - MB read from level N+1 during compaction between levels N and N+1 * Wnew(MB) - new data written to the level during compaction * Amplify - ( Write(MB) + Rnp1(MB) ) / Rn(MB) * Rn - files read from level N during compaction between levels N and N+1 * Rnp1 - files read from level N+1 during compaction between levels N and N+1 * Wnp1 - files written to level N+1 during compaction between levels N and N+1 * NewW - new files written to level N+1 during compaction * Count - number of compactions done for this level This is the new output from DB::GetProperty("leveldb.stats"). The old output stopped at Write(MB) Compactions Level Files Size(MB) Time(sec) Read(MB) Write(MB) Rn(MB) Rnp1(MB) Wnew(MB) Amplify Read(MB/s) Write(MB/s) Rn Rnp1 Wnp1 NewW Count ------------------------------------------------------------------------------------------------------------------------------------- 0 3 6 33 0 576 0 0 576 -1.0 0.0 1.3 0 0 0 0 290 1 127 242 351 5316 5314 570 4747 567 17.0 12.1 12.1 287 2399 2685 286 32 2 161 328 54 822 824 326 496 328 4.0 1.9 1.9 160 251 411 160 161 Amplification: 22.3 rate, 0.56 GB in, 12.55 GB out Uptime(secs): 439.8 Stalls(secs): 206.938 level0_slowdown, 0.000 level0_numfiles, 24.129 memtable_compaction Task ID: # Blame Rev: Test Plan: run db_bench Revert Plan: Database Impact: Memcache Impact: Other Notes: EImportant: - begin *PUBLIC* platform impact section - Bugzilla: # - end platform impact - (cherry picked from commit ecdeead38f86cc02e754d0032600742c4f02fec8) Reviewers: dhruba Differential Revision: https://reviews.facebook.net/D6153
2012-10-23 19:34:09 +02:00
thread->stats.FinishedSingleOp(db_);
}
s = db_->Write(write_options_, &batch);
if (!s.ok()) {
fprintf(stderr, "put error: %s\n", s.ToString().c_str());
exit(1);
}
i += entries_per_batch_;
}
thread->stats.AddBytes(bytes);
}
void ReadSequential(ThreadState* thread) {
Iterator* iter = db_->NewIterator(ReadOptions(FLAGS_verify_checksum, true));
long i = 0;
int64_t bytes = 0;
for (iter->SeekToFirst(); i < reads_ && iter->Valid(); iter->Next()) {
bytes += iter->key().size() + iter->value().size();
Improve statistics Summary: This adds more statistics to be reported by GetProperty("leveldb.stats"). The new stats include time spent waiting on stalls in MakeRoomForWrite. This also includes the total amplification rate where that is: (#bytes of sequential IO during compaction) / (#bytes from Put) This also includes a lot more data for the per-level compaction report. * Rn(MB) - MB read from level N during compaction between levels N and N+1 * Rnp1(MB) - MB read from level N+1 during compaction between levels N and N+1 * Wnew(MB) - new data written to the level during compaction * Amplify - ( Write(MB) + Rnp1(MB) ) / Rn(MB) * Rn - files read from level N during compaction between levels N and N+1 * Rnp1 - files read from level N+1 during compaction between levels N and N+1 * Wnp1 - files written to level N+1 during compaction between levels N and N+1 * NewW - new files written to level N+1 during compaction * Count - number of compactions done for this level This is the new output from DB::GetProperty("leveldb.stats"). The old output stopped at Write(MB) Compactions Level Files Size(MB) Time(sec) Read(MB) Write(MB) Rn(MB) Rnp1(MB) Wnew(MB) Amplify Read(MB/s) Write(MB/s) Rn Rnp1 Wnp1 NewW Count ------------------------------------------------------------------------------------------------------------------------------------- 0 3 6 33 0 576 0 0 576 -1.0 0.0 1.3 0 0 0 0 290 1 127 242 351 5316 5314 570 4747 567 17.0 12.1 12.1 287 2399 2685 286 32 2 161 328 54 822 824 326 496 328 4.0 1.9 1.9 160 251 411 160 161 Amplification: 22.3 rate, 0.56 GB in, 12.55 GB out Uptime(secs): 439.8 Stalls(secs): 206.938 level0_slowdown, 0.000 level0_numfiles, 24.129 memtable_compaction Task ID: # Blame Rev: Test Plan: run db_bench Revert Plan: Database Impact: Memcache Impact: Other Notes: EImportant: - begin *PUBLIC* platform impact section - Bugzilla: # - end platform impact - (cherry picked from commit ecdeead38f86cc02e754d0032600742c4f02fec8) Reviewers: dhruba Differential Revision: https://reviews.facebook.net/D6153
2012-10-23 19:34:09 +02:00
thread->stats.FinishedSingleOp(db_);
++i;
}
delete iter;
thread->stats.AddBytes(bytes);
}
void ReadReverse(ThreadState* thread) {
Iterator* iter = db_->NewIterator(ReadOptions(FLAGS_verify_checksum, true));
long i = 0;
int64_t bytes = 0;
for (iter->SeekToLast(); i < reads_ && iter->Valid(); iter->Prev()) {
bytes += iter->key().size() + iter->value().size();
Improve statistics Summary: This adds more statistics to be reported by GetProperty("leveldb.stats"). The new stats include time spent waiting on stalls in MakeRoomForWrite. This also includes the total amplification rate where that is: (#bytes of sequential IO during compaction) / (#bytes from Put) This also includes a lot more data for the per-level compaction report. * Rn(MB) - MB read from level N during compaction between levels N and N+1 * Rnp1(MB) - MB read from level N+1 during compaction between levels N and N+1 * Wnew(MB) - new data written to the level during compaction * Amplify - ( Write(MB) + Rnp1(MB) ) / Rn(MB) * Rn - files read from level N during compaction between levels N and N+1 * Rnp1 - files read from level N+1 during compaction between levels N and N+1 * Wnp1 - files written to level N+1 during compaction between levels N and N+1 * NewW - new files written to level N+1 during compaction * Count - number of compactions done for this level This is the new output from DB::GetProperty("leveldb.stats"). The old output stopped at Write(MB) Compactions Level Files Size(MB) Time(sec) Read(MB) Write(MB) Rn(MB) Rnp1(MB) Wnew(MB) Amplify Read(MB/s) Write(MB/s) Rn Rnp1 Wnp1 NewW Count ------------------------------------------------------------------------------------------------------------------------------------- 0 3 6 33 0 576 0 0 576 -1.0 0.0 1.3 0 0 0 0 290 1 127 242 351 5316 5314 570 4747 567 17.0 12.1 12.1 287 2399 2685 286 32 2 161 328 54 822 824 326 496 328 4.0 1.9 1.9 160 251 411 160 161 Amplification: 22.3 rate, 0.56 GB in, 12.55 GB out Uptime(secs): 439.8 Stalls(secs): 206.938 level0_slowdown, 0.000 level0_numfiles, 24.129 memtable_compaction Task ID: # Blame Rev: Test Plan: run db_bench Revert Plan: Database Impact: Memcache Impact: Other Notes: EImportant: - begin *PUBLIC* platform impact section - Bugzilla: # - end platform impact - (cherry picked from commit ecdeead38f86cc02e754d0032600742c4f02fec8) Reviewers: dhruba Differential Revision: https://reviews.facebook.net/D6153
2012-10-23 19:34:09 +02:00
thread->stats.FinishedSingleOp(db_);
++i;
}
delete iter;
thread->stats.AddBytes(bytes);
}
void ReadRandom(ThreadState* thread) {
ReadOptions options(FLAGS_verify_checksum, true);
Iterator* iter = db_->NewIterator(options);
Duration duration(FLAGS_duration, reads_);
std::string value;
long found = 0;
while (!duration.Done(1)) {
const int k = thread->rand.Next() % FLAGS_num;
unique_ptr<char []> key = GenerateKeyFromInt(k);
if (FLAGS_use_snapshot) {
options.snapshot = db_->GetSnapshot();
}
if (FLAGS_read_range < 2) {
if (db_->Get(options, key.get(), &value).ok()) {
found++;
}
} else {
Slice skey(key.get());
int count = 1;
if (FLAGS_get_approx) {
unique_ptr<char []> key2 =
GenerateKeyFromInt(k + (int) FLAGS_read_range);
Slice skey2(key2.get());
Range range(skey, skey2);
uint64_t sizes;
db_->GetApproximateSizes(&range, 1, &sizes);
}
for (iter->Seek(skey);
iter->Valid() && count <= FLAGS_read_range;
++count, iter->Next()) {
found++;
}
}
if (FLAGS_use_snapshot) {
db_->ReleaseSnapshot(options.snapshot);
options.snapshot = nullptr;
}
Improve statistics Summary: This adds more statistics to be reported by GetProperty("leveldb.stats"). The new stats include time spent waiting on stalls in MakeRoomForWrite. This also includes the total amplification rate where that is: (#bytes of sequential IO during compaction) / (#bytes from Put) This also includes a lot more data for the per-level compaction report. * Rn(MB) - MB read from level N during compaction between levels N and N+1 * Rnp1(MB) - MB read from level N+1 during compaction between levels N and N+1 * Wnew(MB) - new data written to the level during compaction * Amplify - ( Write(MB) + Rnp1(MB) ) / Rn(MB) * Rn - files read from level N during compaction between levels N and N+1 * Rnp1 - files read from level N+1 during compaction between levels N and N+1 * Wnp1 - files written to level N+1 during compaction between levels N and N+1 * NewW - new files written to level N+1 during compaction * Count - number of compactions done for this level This is the new output from DB::GetProperty("leveldb.stats"). The old output stopped at Write(MB) Compactions Level Files Size(MB) Time(sec) Read(MB) Write(MB) Rn(MB) Rnp1(MB) Wnew(MB) Amplify Read(MB/s) Write(MB/s) Rn Rnp1 Wnp1 NewW Count ------------------------------------------------------------------------------------------------------------------------------------- 0 3 6 33 0 576 0 0 576 -1.0 0.0 1.3 0 0 0 0 290 1 127 242 351 5316 5314 570 4747 567 17.0 12.1 12.1 287 2399 2685 286 32 2 161 328 54 822 824 326 496 328 4.0 1.9 1.9 160 251 411 160 161 Amplification: 22.3 rate, 0.56 GB in, 12.55 GB out Uptime(secs): 439.8 Stalls(secs): 206.938 level0_slowdown, 0.000 level0_numfiles, 24.129 memtable_compaction Task ID: # Blame Rev: Test Plan: run db_bench Revert Plan: Database Impact: Memcache Impact: Other Notes: EImportant: - begin *PUBLIC* platform impact section - Bugzilla: # - end platform impact - (cherry picked from commit ecdeead38f86cc02e754d0032600742c4f02fec8) Reviewers: dhruba Differential Revision: https://reviews.facebook.net/D6153
2012-10-23 19:34:09 +02:00
thread->stats.FinishedSingleOp(db_);
}
delete iter;
char msg[100];
snprintf(msg, sizeof(msg), "(%ld of %ld found)", found, num_);
thread->stats.AddMessage(msg);
}
void ReadMissing(ThreadState* thread) {
Duration duration(FLAGS_duration, reads_);
ReadOptions options(FLAGS_verify_checksum, true);
std::string value;
while (!duration.Done(1)) {
const int k = thread->rand.Next() % FLAGS_num;
unique_ptr<char []> key = GenerateKeyFromInt(k, ".");
db_->Get(options, key.get(), &value);
Improve statistics Summary: This adds more statistics to be reported by GetProperty("leveldb.stats"). The new stats include time spent waiting on stalls in MakeRoomForWrite. This also includes the total amplification rate where that is: (#bytes of sequential IO during compaction) / (#bytes from Put) This also includes a lot more data for the per-level compaction report. * Rn(MB) - MB read from level N during compaction between levels N and N+1 * Rnp1(MB) - MB read from level N+1 during compaction between levels N and N+1 * Wnew(MB) - new data written to the level during compaction * Amplify - ( Write(MB) + Rnp1(MB) ) / Rn(MB) * Rn - files read from level N during compaction between levels N and N+1 * Rnp1 - files read from level N+1 during compaction between levels N and N+1 * Wnp1 - files written to level N+1 during compaction between levels N and N+1 * NewW - new files written to level N+1 during compaction * Count - number of compactions done for this level This is the new output from DB::GetProperty("leveldb.stats"). The old output stopped at Write(MB) Compactions Level Files Size(MB) Time(sec) Read(MB) Write(MB) Rn(MB) Rnp1(MB) Wnew(MB) Amplify Read(MB/s) Write(MB/s) Rn Rnp1 Wnp1 NewW Count ------------------------------------------------------------------------------------------------------------------------------------- 0 3 6 33 0 576 0 0 576 -1.0 0.0 1.3 0 0 0 0 290 1 127 242 351 5316 5314 570 4747 567 17.0 12.1 12.1 287 2399 2685 286 32 2 161 328 54 822 824 326 496 328 4.0 1.9 1.9 160 251 411 160 161 Amplification: 22.3 rate, 0.56 GB in, 12.55 GB out Uptime(secs): 439.8 Stalls(secs): 206.938 level0_slowdown, 0.000 level0_numfiles, 24.129 memtable_compaction Task ID: # Blame Rev: Test Plan: run db_bench Revert Plan: Database Impact: Memcache Impact: Other Notes: EImportant: - begin *PUBLIC* platform impact section - Bugzilla: # - end platform impact - (cherry picked from commit ecdeead38f86cc02e754d0032600742c4f02fec8) Reviewers: dhruba Differential Revision: https://reviews.facebook.net/D6153
2012-10-23 19:34:09 +02:00
thread->stats.FinishedSingleOp(db_);
}
}
void ReadHot(ThreadState* thread) {
Duration duration(FLAGS_duration, reads_);
ReadOptions options(FLAGS_verify_checksum, true);
std::string value;
const long range = (FLAGS_num + 99) / 100;
while (!duration.Done(1)) {
const int k = thread->rand.Next() % range;
unique_ptr<char []> key = GenerateKeyFromInt(k);
db_->Get(options, key.get(), &value);
Improve statistics Summary: This adds more statistics to be reported by GetProperty("leveldb.stats"). The new stats include time spent waiting on stalls in MakeRoomForWrite. This also includes the total amplification rate where that is: (#bytes of sequential IO during compaction) / (#bytes from Put) This also includes a lot more data for the per-level compaction report. * Rn(MB) - MB read from level N during compaction between levels N and N+1 * Rnp1(MB) - MB read from level N+1 during compaction between levels N and N+1 * Wnew(MB) - new data written to the level during compaction * Amplify - ( Write(MB) + Rnp1(MB) ) / Rn(MB) * Rn - files read from level N during compaction between levels N and N+1 * Rnp1 - files read from level N+1 during compaction between levels N and N+1 * Wnp1 - files written to level N+1 during compaction between levels N and N+1 * NewW - new files written to level N+1 during compaction * Count - number of compactions done for this level This is the new output from DB::GetProperty("leveldb.stats"). The old output stopped at Write(MB) Compactions Level Files Size(MB) Time(sec) Read(MB) Write(MB) Rn(MB) Rnp1(MB) Wnew(MB) Amplify Read(MB/s) Write(MB/s) Rn Rnp1 Wnp1 NewW Count ------------------------------------------------------------------------------------------------------------------------------------- 0 3 6 33 0 576 0 0 576 -1.0 0.0 1.3 0 0 0 0 290 1 127 242 351 5316 5314 570 4747 567 17.0 12.1 12.1 287 2399 2685 286 32 2 161 328 54 822 824 326 496 328 4.0 1.9 1.9 160 251 411 160 161 Amplification: 22.3 rate, 0.56 GB in, 12.55 GB out Uptime(secs): 439.8 Stalls(secs): 206.938 level0_slowdown, 0.000 level0_numfiles, 24.129 memtable_compaction Task ID: # Blame Rev: Test Plan: run db_bench Revert Plan: Database Impact: Memcache Impact: Other Notes: EImportant: - begin *PUBLIC* platform impact section - Bugzilla: # - end platform impact - (cherry picked from commit ecdeead38f86cc02e754d0032600742c4f02fec8) Reviewers: dhruba Differential Revision: https://reviews.facebook.net/D6153
2012-10-23 19:34:09 +02:00
thread->stats.FinishedSingleOp(db_);
}
}
void SeekRandom(ThreadState* thread) {
Duration duration(FLAGS_duration, reads_);
ReadOptions options(FLAGS_verify_checksum, true);
std::string value;
long found = 0;
while (!duration.Done(1)) {
Iterator* iter = db_->NewIterator(options);
const int k = thread->rand.Next() % FLAGS_num;
unique_ptr<char []> key = GenerateKeyFromInt(k);
iter->Seek(key.get());
if (iter->Valid() && iter->key() == key.get()) found++;
delete iter;
Improve statistics Summary: This adds more statistics to be reported by GetProperty("leveldb.stats"). The new stats include time spent waiting on stalls in MakeRoomForWrite. This also includes the total amplification rate where that is: (#bytes of sequential IO during compaction) / (#bytes from Put) This also includes a lot more data for the per-level compaction report. * Rn(MB) - MB read from level N during compaction between levels N and N+1 * Rnp1(MB) - MB read from level N+1 during compaction between levels N and N+1 * Wnew(MB) - new data written to the level during compaction * Amplify - ( Write(MB) + Rnp1(MB) ) / Rn(MB) * Rn - files read from level N during compaction between levels N and N+1 * Rnp1 - files read from level N+1 during compaction between levels N and N+1 * Wnp1 - files written to level N+1 during compaction between levels N and N+1 * NewW - new files written to level N+1 during compaction * Count - number of compactions done for this level This is the new output from DB::GetProperty("leveldb.stats"). The old output stopped at Write(MB) Compactions Level Files Size(MB) Time(sec) Read(MB) Write(MB) Rn(MB) Rnp1(MB) Wnew(MB) Amplify Read(MB/s) Write(MB/s) Rn Rnp1 Wnp1 NewW Count ------------------------------------------------------------------------------------------------------------------------------------- 0 3 6 33 0 576 0 0 576 -1.0 0.0 1.3 0 0 0 0 290 1 127 242 351 5316 5314 570 4747 567 17.0 12.1 12.1 287 2399 2685 286 32 2 161 328 54 822 824 326 496 328 4.0 1.9 1.9 160 251 411 160 161 Amplification: 22.3 rate, 0.56 GB in, 12.55 GB out Uptime(secs): 439.8 Stalls(secs): 206.938 level0_slowdown, 0.000 level0_numfiles, 24.129 memtable_compaction Task ID: # Blame Rev: Test Plan: run db_bench Revert Plan: Database Impact: Memcache Impact: Other Notes: EImportant: - begin *PUBLIC* platform impact section - Bugzilla: # - end platform impact - (cherry picked from commit ecdeead38f86cc02e754d0032600742c4f02fec8) Reviewers: dhruba Differential Revision: https://reviews.facebook.net/D6153
2012-10-23 19:34:09 +02:00
thread->stats.FinishedSingleOp(db_);
}
char msg[100];
snprintf(msg, sizeof(msg), "(%ld of %ld found)", found, num_);
thread->stats.AddMessage(msg);
}
void DoDelete(ThreadState* thread, bool seq) {
WriteBatch batch;
Status s;
Duration duration(seq ? 0 : FLAGS_duration, num_);
long i = 0;
while (!duration.Done(entries_per_batch_)) {
batch.Clear();
for (int j = 0; j < entries_per_batch_; j++) {
const int k = seq ? i+j : (thread->rand.Next() % FLAGS_num);
unique_ptr<char []> key = GenerateKeyFromInt(k);
batch.Delete(key.get());
Improve statistics Summary: This adds more statistics to be reported by GetProperty("leveldb.stats"). The new stats include time spent waiting on stalls in MakeRoomForWrite. This also includes the total amplification rate where that is: (#bytes of sequential IO during compaction) / (#bytes from Put) This also includes a lot more data for the per-level compaction report. * Rn(MB) - MB read from level N during compaction between levels N and N+1 * Rnp1(MB) - MB read from level N+1 during compaction between levels N and N+1 * Wnew(MB) - new data written to the level during compaction * Amplify - ( Write(MB) + Rnp1(MB) ) / Rn(MB) * Rn - files read from level N during compaction between levels N and N+1 * Rnp1 - files read from level N+1 during compaction between levels N and N+1 * Wnp1 - files written to level N+1 during compaction between levels N and N+1 * NewW - new files written to level N+1 during compaction * Count - number of compactions done for this level This is the new output from DB::GetProperty("leveldb.stats"). The old output stopped at Write(MB) Compactions Level Files Size(MB) Time(sec) Read(MB) Write(MB) Rn(MB) Rnp1(MB) Wnew(MB) Amplify Read(MB/s) Write(MB/s) Rn Rnp1 Wnp1 NewW Count ------------------------------------------------------------------------------------------------------------------------------------- 0 3 6 33 0 576 0 0 576 -1.0 0.0 1.3 0 0 0 0 290 1 127 242 351 5316 5314 570 4747 567 17.0 12.1 12.1 287 2399 2685 286 32 2 161 328 54 822 824 326 496 328 4.0 1.9 1.9 160 251 411 160 161 Amplification: 22.3 rate, 0.56 GB in, 12.55 GB out Uptime(secs): 439.8 Stalls(secs): 206.938 level0_slowdown, 0.000 level0_numfiles, 24.129 memtable_compaction Task ID: # Blame Rev: Test Plan: run db_bench Revert Plan: Database Impact: Memcache Impact: Other Notes: EImportant: - begin *PUBLIC* platform impact section - Bugzilla: # - end platform impact - (cherry picked from commit ecdeead38f86cc02e754d0032600742c4f02fec8) Reviewers: dhruba Differential Revision: https://reviews.facebook.net/D6153
2012-10-23 19:34:09 +02:00
thread->stats.FinishedSingleOp(db_);
}
s = db_->Write(write_options_, &batch);
if (!s.ok()) {
fprintf(stderr, "del error: %s\n", s.ToString().c_str());
exit(1);
}
++i;
}
}
void DeleteSeq(ThreadState* thread) {
DoDelete(thread, true);
}
void DeleteRandom(ThreadState* thread) {
DoDelete(thread, false);
}
void ReadWhileWriting(ThreadState* thread) {
if (thread->tid > 0) {
ReadRandom(thread);
} else {
// Special thread that keeps writing until other threads are done.
RandomGenerator gen;
double last = FLAGS_env->NowMicros();
int writes_per_second_by_10 = 0;
int num_writes = 0;
// --writes_per_second rate limit is enforced per 100 milliseconds
// intervals to avoid a burst of writes at the start of each second.
if (FLAGS_writes_per_second > 0)
writes_per_second_by_10 = FLAGS_writes_per_second / 10;
// Don't merge stats from this thread with the readers.
thread->stats.SetExcludeFromMerge();
while (true) {
{
MutexLock l(&thread->shared->mu);
if (thread->shared->num_done + 1 >= thread->shared->num_initialized) {
// Other threads have finished
break;
}
}
const int k = thread->rand.Next() % FLAGS_num;
unique_ptr<char []> key = GenerateKeyFromInt(k);
Status s = db_->Put(write_options_, key.get(), gen.Generate(value_size_));
if (!s.ok()) {
fprintf(stderr, "put error: %s\n", s.ToString().c_str());
exit(1);
}
thread->stats.FinishedSingleOp(db_);
++num_writes;
if (writes_per_second_by_10 && num_writes >= writes_per_second_by_10) {
double now = FLAGS_env->NowMicros();
double usecs_since_last = now - last;
num_writes = 0;
last = now;
if (usecs_since_last < 100000.0) {
FLAGS_env->SleepForMicroseconds(100000.0 - usecs_since_last);
last = FLAGS_env->NowMicros();
}
}
}
}
}
// Given a key K and value V, this puts (K+"0", V), (K+"1", V), (K+"2", V)
// in DB atomically i.e in a single batch. Also refer MultiGet.
Status MultiPut(const WriteOptions& writeoptions,
const Slice& key, const Slice& value) {
std::string suffixes[3] = {"2", "1", "0"};
std::string keys[3];
WriteBatch batch;
Status s;
for (int i = 0; i < 3; i++) {
keys[i] = key.ToString() + suffixes[i];
batch.Put(keys[i], value);
}
s = db_->Write(writeoptions, &batch);
return s;
}
// Given a key K, this deletes (K+"0", V), (K+"1", V), (K+"2", V)
// in DB atomically i.e in a single batch. Also refer MultiGet.
Status MultiDelete(const WriteOptions& writeoptions,
const Slice& key) {
std::string suffixes[3] = {"1", "2", "0"};
std::string keys[3];
WriteBatch batch;
Status s;
for (int i = 0; i < 3; i++) {
keys[i] = key.ToString() + suffixes[i];
batch.Delete(keys[i]);
}
s = db_->Write(writeoptions, &batch);
return s;
}
// Given a key K and value V, this gets values for K+"0", K+"1" and K+"2"
// in the same snapshot, and verifies that all the values are identical.
// ASSUMES that MultiPut was used to put (K, V) into the DB.
Status MultiGet(const ReadOptions& readoptions,
const Slice& key, std::string* value) {
std::string suffixes[3] = {"0", "1", "2"};
std::string keys[3];
Slice key_slices[3];
std::string values[3];
ReadOptions readoptionscopy = readoptions;
readoptionscopy.snapshot = db_->GetSnapshot();
Status s;
for (int i = 0; i < 3; i++) {
keys[i] = key.ToString() + suffixes[i];
key_slices[i] = keys[i];
s = db_->Get(readoptionscopy, key_slices[i], value);
if (!s.ok() && !s.IsNotFound()) {
fprintf(stderr, "get error: %s\n", s.ToString().c_str());
values[i] = "";
// we continue after error rather than exiting so that we can
// find more errors if any
} else if (s.IsNotFound()) {
values[i] = "";
} else {
values[i] = *value;
}
}
db_->ReleaseSnapshot(readoptionscopy.snapshot);
if ((values[0] != values[1]) || (values[1] != values[2])) {
fprintf(stderr, "inconsistent values for key %s: %s, %s, %s\n",
key.ToString().c_str(), values[0].c_str(), values[1].c_str(),
values[2].c_str());
// we continue after error rather than exiting so that we can
// find more errors if any
}
return s;
}
// Differs from readrandomwriterandom in the following ways:
// (a) Uses MultiGet/MultiPut to read/write key values. Refer to those funcs.
// (b) Does deletes as well (per FLAGS_deletepercent)
// (c) In order to achieve high % of 'found' during lookups, and to do
// multiple writes (including puts and deletes) it uses upto
// FLAGS_numdistinct distinct keys instead of FLAGS_num distinct keys.
void RandomWithVerify(ThreadState* thread) {
ReadOptions options(FLAGS_verify_checksum, true);
RandomGenerator gen;
std::string value;
long found = 0;
int get_weight = 0;
int put_weight = 0;
int delete_weight = 0;
long gets_done = 0;
long puts_done = 0;
long deletes_done = 0;
// the number of iterations is the larger of read_ or write_
for (long i = 0; i < readwrites_; i++) {
const int k = thread->rand.Next() % (FLAGS_numdistinct);
unique_ptr<char []> key = GenerateKeyFromInt(k);
if (get_weight == 0 && put_weight == 0 && delete_weight == 0) {
// one batch complated, reinitialize for next batch
get_weight = FLAGS_readwritepercent;
delete_weight = FLAGS_deletepercent;
put_weight = 100 - get_weight - delete_weight;
}
if (get_weight > 0) {
// do all the gets first
Status s = MultiGet(options, key.get(), &value);
if (!s.ok() && !s.IsNotFound()) {
fprintf(stderr, "get error: %s\n", s.ToString().c_str());
// we continue after error rather than exiting so that we can
// find more errors if any
} else if (!s.IsNotFound()) {
found++;
}
get_weight--;
gets_done++;
} else if (put_weight > 0) {
// then do all the corresponding number of puts
// for all the gets we have done earlier
Status s = MultiPut(write_options_, key.get(), gen.Generate(value_size_));
if (!s.ok()) {
fprintf(stderr, "multiput error: %s\n", s.ToString().c_str());
exit(1);
}
put_weight--;
puts_done++;
} else if (delete_weight > 0) {
Status s = MultiDelete(write_options_, key.get());
if (!s.ok()) {
fprintf(stderr, "multidelete error: %s\n", s.ToString().c_str());
exit(1);
}
delete_weight--;
deletes_done++;
}
thread->stats.FinishedSingleOp(db_);
}
char msg[100];
snprintf(msg, sizeof(msg), "( get:%ld put:%ld del:%ld total:%ld found:%ld)",
gets_done, puts_done, deletes_done, readwrites_, found);
thread->stats.AddMessage(msg);
}
//
// This is diffferent from ReadWhileWriting because it does not use
// an extra thread.
//
void ReadRandomWriteRandom(ThreadState* thread) {
ReadOptions options(FLAGS_verify_checksum, true);
RandomGenerator gen;
std::string value;
long found = 0;
int get_weight = 0;
int put_weight = 0;
long reads_done = 0;
long writes_done = 0;
Duration duration(FLAGS_duration, readwrites_);
// the number of iterations is the larger of read_ or write_
while (!duration.Done(1)) {
const int k = thread->rand.Next() % FLAGS_num;
unique_ptr<char []> key = GenerateKeyFromInt(k);
if (get_weight == 0 && put_weight == 0) {
// one batch complated, reinitialize for next batch
get_weight = FLAGS_readwritepercent;
put_weight = 100 - get_weight;
}
if (get_weight > 0) {
if (FLAGS_use_snapshot) {
options.snapshot = db_->GetSnapshot();
}
if (FLAGS_get_approx) {
char key2[100];
snprintf(key2, sizeof(key2), "%016d", k + 1);
Slice skey2(key2);
Slice skey(key2);
Range range(skey, skey2);
uint64_t sizes;
db_->GetApproximateSizes(&range, 1, &sizes);
}
// do all the gets first
Status s = db_->Get(options, key.get(), &value);
if (!s.ok() && !s.IsNotFound()) {
fprintf(stderr, "get error: %s\n", s.ToString().c_str());
// we continue after error rather than exiting so that we can
// find more errors if any
} else if (!s.IsNotFound()) {
found++;
}
if (db_->Get(options, key.get(), &value).ok()) {
found++;
}
get_weight--;
reads_done++;
if (FLAGS_use_snapshot) {
db_->ReleaseSnapshot(options.snapshot);
}
} else if (put_weight > 0) {
// then do all the corresponding number of puts
// for all the gets we have done earlier
Status s = db_->Put(write_options_, key.get(), gen.Generate(value_size_));
if (!s.ok()) {
fprintf(stderr, "put error: %s\n", s.ToString().c_str());
exit(1);
}
put_weight--;
writes_done++;
}
Improve statistics Summary: This adds more statistics to be reported by GetProperty("leveldb.stats"). The new stats include time spent waiting on stalls in MakeRoomForWrite. This also includes the total amplification rate where that is: (#bytes of sequential IO during compaction) / (#bytes from Put) This also includes a lot more data for the per-level compaction report. * Rn(MB) - MB read from level N during compaction between levels N and N+1 * Rnp1(MB) - MB read from level N+1 during compaction between levels N and N+1 * Wnew(MB) - new data written to the level during compaction * Amplify - ( Write(MB) + Rnp1(MB) ) / Rn(MB) * Rn - files read from level N during compaction between levels N and N+1 * Rnp1 - files read from level N+1 during compaction between levels N and N+1 * Wnp1 - files written to level N+1 during compaction between levels N and N+1 * NewW - new files written to level N+1 during compaction * Count - number of compactions done for this level This is the new output from DB::GetProperty("leveldb.stats"). The old output stopped at Write(MB) Compactions Level Files Size(MB) Time(sec) Read(MB) Write(MB) Rn(MB) Rnp1(MB) Wnew(MB) Amplify Read(MB/s) Write(MB/s) Rn Rnp1 Wnp1 NewW Count ------------------------------------------------------------------------------------------------------------------------------------- 0 3 6 33 0 576 0 0 576 -1.0 0.0 1.3 0 0 0 0 290 1 127 242 351 5316 5314 570 4747 567 17.0 12.1 12.1 287 2399 2685 286 32 2 161 328 54 822 824 326 496 328 4.0 1.9 1.9 160 251 411 160 161 Amplification: 22.3 rate, 0.56 GB in, 12.55 GB out Uptime(secs): 439.8 Stalls(secs): 206.938 level0_slowdown, 0.000 level0_numfiles, 24.129 memtable_compaction Task ID: # Blame Rev: Test Plan: run db_bench Revert Plan: Database Impact: Memcache Impact: Other Notes: EImportant: - begin *PUBLIC* platform impact section - Bugzilla: # - end platform impact - (cherry picked from commit ecdeead38f86cc02e754d0032600742c4f02fec8) Reviewers: dhruba Differential Revision: https://reviews.facebook.net/D6153
2012-10-23 19:34:09 +02:00
thread->stats.FinishedSingleOp(db_);
}
char msg[100];
snprintf(msg, sizeof(msg), "( reads:%ld writes:%ld total:%ld found:%ld)",
reads_done, writes_done, readwrites_, found);
thread->stats.AddMessage(msg);
}
//
// Read-modify-write for random keys
//
void UpdateRandom(ThreadState* thread) {
ReadOptions options(FLAGS_verify_checksum, true);
RandomGenerator gen;
std::string value;
long found = 0;
Duration duration(FLAGS_duration, readwrites_);
// the number of iterations is the larger of read_ or write_
while (!duration.Done(1)) {
const int k = thread->rand.Next() % FLAGS_num;
unique_ptr<char []> key = GenerateKeyFromInt(k);
if (FLAGS_use_snapshot) {
options.snapshot = db_->GetSnapshot();
}
if (FLAGS_get_approx) {
char key2[100];
snprintf(key2, sizeof(key2), "%016d", k + 1);
Slice skey2(key2);
Slice skey(key2);
Range range(skey, skey2);
uint64_t sizes;
db_->GetApproximateSizes(&range, 1, &sizes);
}
if (db_->Get(options, key.get(), &value).ok()) {
found++;
}
if (FLAGS_use_snapshot) {
db_->ReleaseSnapshot(options.snapshot);
}
Status s = db_->Put(write_options_, key.get(), gen.Generate(value_size_));
if (!s.ok()) {
fprintf(stderr, "put error: %s\n", s.ToString().c_str());
exit(1);
}
thread->stats.FinishedSingleOp(db_);
}
char msg[100];
snprintf(msg, sizeof(msg), "( updates:%ld found:%ld)", readwrites_, found);
thread->stats.AddMessage(msg);
}
void Compact(ThreadState* thread) {
db_->CompactRange(nullptr, nullptr);
}
void PrintStats(const char* key) {
std::string stats;
if (!db_->GetProperty(key, &stats)) {
stats = "(failed)";
}
fprintf(stdout, "\n%s\n", stats.c_str());
}
static void WriteToFile(void* arg, const char* buf, int n) {
reinterpret_cast<WritableFile*>(arg)->Append(Slice(buf, n));
}
void HeapProfile() {
char fname[100];
StorageOptions soptions;
snprintf(fname, sizeof(fname), "%s/heap-%04d", FLAGS_db, ++heap_counter_);
unique_ptr<WritableFile> file;
Status s = FLAGS_env->NewWritableFile(fname, &file, soptions);
if (!s.ok()) {
fprintf(stderr, "%s\n", s.ToString().c_str());
return;
}
bool ok = port::GetHeapProfile(WriteToFile, file.get());
if (!ok) {
fprintf(stderr, "heap profiling not supported\n");
FLAGS_env->DeleteFile(fname);
}
}
};
} // namespace leveldb
int main(int argc, char** argv) {
[RocksDB] Add stacktrace signal handler Summary: This diff provides the ability to print out a stacktrace when the process receives certain signals. Currently, we enable this for the following signals (program error related): SIGILL SIGSEGV SIGBUS SIGABRT Application simply #include "util/stack_trace.h" and call leveldb::InstallStackTraceHandler() during initialization, if signal handler is needed. It's not done automatically when openning db, because it's the application(process)'s responsibility to install signal handler and some applications might already have their own (like fbcode). Sample output: Received signal 11 (Segmentation fault) #0 0x408ff0 ./signal_test() [0x408ff0] /home/haobo/rocksdb/util/signal_test.cc:4 #1 0x40827d ./signal_test() [0x40827d] /home/haobo/rocksdb/util/signal_test.cc:24 #2 0x7f8bb183172e /usr/local/fbcode/gcc-4.7.1-glibc-2.14.1/lib/libc.so.6(__libc_start_main+0x10e) [0x7f8bb183172e] ??:0 #3 0x408ebc ./signal_test() [0x408ebc] /home/engshare/third-party/src/glibc/glibc-2.14.1/glibc-2.14.1/csu/../sysdeps/x86_64/elf/start.S:113 Segmentation fault (core dumped) For each frame, we print the raw pointer, the symbol provided by backtrace_symbols (still not good enough), and the source file/line. Note that address translation is done by directly shell out to addr2line. ??:0 means addr2line fails to do the translation. Hacky, but I think it's good for now. Test Plan: signal_test.cc Reviewers: dhruba, MarkCallaghan Reviewed By: dhruba CC: leveldb Differential Revision: https://reviews.facebook.net/D10173
2013-04-11 19:54:35 +02:00
leveldb::InstallStackTraceHandler();
FLAGS_write_buffer_size = leveldb::Options().write_buffer_size;
FLAGS_max_write_buffer_number = leveldb::Options().max_write_buffer_number;
FLAGS_open_files = leveldb::Options().max_open_files;
FLAGS_max_background_compactions =
leveldb::Options().max_background_compactions;
// Compression test code above refers to FLAGS_block_size
FLAGS_block_size = leveldb::Options().block_size;
FLAGS_use_os_buffer = leveldb::StorageOptions().UseOsBuffer();
FLAGS_use_fsreadahead = leveldb::StorageOptions().UseReadahead();
FLAGS_use_mmap_reads = leveldb::StorageOptions().UseMmapReads();
FLAGS_use_mmap_writes = leveldb::StorageOptions().UseMmapWrites();
FLAGS_use_readahead_compactions =
leveldb::StorageOptions().UseReadaheadCompactions();
std::string default_db_path;
for (int i = 1; i < argc; i++) {
double d;
int n;
long l;
char junk;
char hdfsname[2048];
if (leveldb::Slice(argv[i]).starts_with("--benchmarks=")) {
FLAGS_benchmarks = argv[i] + strlen("--benchmarks=");
} else if (sscanf(argv[i], "--compression_ratio=%lf%c", &d, &junk) == 1) {
FLAGS_compression_ratio = d;
} else if (sscanf(argv[i], "--histogram=%d%c", &n, &junk) == 1 &&
(n == 0 || n == 1)) {
FLAGS_histogram = n;
} else if (sscanf(argv[i], "--use_existing_db=%d%c", &n, &junk) == 1 &&
(n == 0 || n == 1)) {
FLAGS_use_existing_db = n;
} else if (sscanf(argv[i], "--num=%ld%c", &l, &junk) == 1) {
FLAGS_num = l;
[Missed adding cmdline parsing for new flags added in D8685] Summary: I had added FLAGS_numdistinct and FLAGS_deletepercent for randomwithverify but forgot to add cmdline parsing for those flags. Test Plan: [nponnekanti@dev902 /data/users/nponnekanti/rocksdb] ./db_bench --benchmarks=randomwithverify --numdistinct=500 LevelDB: version 1.5 Date: Thu Feb 21 10:34:40 2013 CPU: 24 * Intel(R) Xeon(R) CPU X5650 @ 2.67GHz CPUCache: 12288 KB Keys: 16 bytes each Values: 100 bytes each (50 bytes after compression) Entries: 1000000 RawSize: 110.6 MB (estimated) FileSize: 62.9 MB (estimated) Compression: snappy WARNING: Assertions are enabled; benchmarks unnecessarily slow ------------------------------------------------ Created bg thread 0x7fbf90bff700 randomwithverify : 4.693 micros/op 213098 ops/sec; ( get:900000 put:80000 del:20000 total:1000000 found:714556) [nponnekanti@dev902 /data/users/nponnekanti/rocksdb] ./db_bench --benchmarks=randomwithverify --deletepercent=5 LevelDB: version 1.5 Date: Thu Feb 21 10:35:03 2013 CPU: 24 * Intel(R) Xeon(R) CPU X5650 @ 2.67GHz CPUCache: 12288 KB Keys: 16 bytes each Values: 100 bytes each (50 bytes after compression) Entries: 1000000 RawSize: 110.6 MB (estimated) FileSize: 62.9 MB (estimated) Compression: snappy WARNING: Assertions are enabled; benchmarks unnecessarily slow ------------------------------------------------ Created bg thread 0x7fe14dfff700 randomwithverify : 4.883 micros/op 204798 ops/sec; ( get:900000 put:50000 del:50000 total:1000000 found:443847) [nponnekanti@dev902 /data/users/nponnekanti/rocksdb] [nponnekanti@dev902 /data/users/nponnekanti/rocksdb] ./db_bench --benchmarks=randomwithverify --deletepercent=5 --numdistinct=500 LevelDB: version 1.5 Date: Thu Feb 21 10:36:18 2013 CPU: 24 * Intel(R) Xeon(R) CPU X5650 @ 2.67GHz CPUCache: 12288 KB Keys: 16 bytes each Values: 100 bytes each (50 bytes after compression) Entries: 1000000 RawSize: 110.6 MB (estimated) FileSize: 62.9 MB (estimated) Compression: snappy WARNING: Assertions are enabled; benchmarks unnecessarily slow ------------------------------------------------ Created bg thread 0x7fc31c7ff700 randomwithverify : 4.920 micros/op 203233 ops/sec; ( get:900000 put:50000 del:50000 total:1000000 found:445522) Revert Plan: OK Task ID: # Reviewers: dhruba, emayanke Reviewed By: dhruba CC: leveldb Differential Revision: https://reviews.facebook.net/D8769
2013-02-21 19:36:56 +01:00
} else if (sscanf(argv[i], "--numdistinct=%ld%c", &l, &junk) == 1) {
FLAGS_numdistinct = l;
} else if (sscanf(argv[i], "--reads=%d%c", &n, &junk) == 1) {
FLAGS_reads = n;
} else if (sscanf(argv[i], "--read_range=%d%c", &n, &junk) == 1) {
FLAGS_read_range = n;
} else if (sscanf(argv[i], "--duration=%d%c", &n, &junk) == 1) {
FLAGS_duration = n;
} else if (sscanf(argv[i], "--seed=%ld%c", &l, &junk) == 1) {
FLAGS_seed = l;
} else if (sscanf(argv[i], "--threads=%d%c", &n, &junk) == 1) {
FLAGS_threads = n;
} else if (sscanf(argv[i], "--value_size=%d%c", &n, &junk) == 1) {
FLAGS_value_size = n;
} else if (sscanf(argv[i], "--key_size=%d%c", &n, &junk) == 1) {
if (MAX_KEY_SIZE < n) {
fprintf(stderr, "key_size should not be larger than %d\n", MAX_KEY_SIZE);
exit(1);
} else {
FLAGS_key_size = n;
}
} else if (sscanf(argv[i], "--write_buffer_size=%d%c", &n, &junk) == 1) {
FLAGS_write_buffer_size = n;
} else if (sscanf(argv[i], "--max_write_buffer_number=%d%c", &n, &junk) == 1) {
FLAGS_max_write_buffer_number = n;
} else if (sscanf(argv[i], "--max_background_compactions=%d%c", &n, &junk) == 1) {
FLAGS_max_background_compactions = n;
} else if (sscanf(argv[i], "--cache_size=%ld%c", &l, &junk) == 1) {
FLAGS_cache_size = l;
} else if (sscanf(argv[i], "--block_size=%d%c", &n, &junk) == 1) {
FLAGS_block_size = n;
} else if (sscanf(argv[i], "--cache_numshardbits=%d%c", &n, &junk) == 1) {
if (n < 20) {
FLAGS_cache_numshardbits = n;
} else {
fprintf(stderr, "The cache cannot be sharded into 2**%d pieces\n", n);
exit(1);
}
} else if (sscanf(argv[i], "--table_cache_numshardbits=%d%c",
&n, &junk) == 1) {
if (n <= 0 || n > 20) {
fprintf(stderr, "The cache cannot be sharded into 2**%d pieces\n", n);
exit(1);
}
FLAGS_table_cache_numshardbits = n;
} else if (sscanf(argv[i], "--bloom_bits=%d%c", &n, &junk) == 1) {
FLAGS_bloom_bits = n;
} else if (sscanf(argv[i], "--open_files=%d%c", &n, &junk) == 1) {
FLAGS_open_files = n;
} else if (strncmp(argv[i], "--db=", 5) == 0) {
FLAGS_db = argv[i] + 5;
} else if (sscanf(argv[i], "--verify_checksum=%d%c", &n, &junk) == 1 &&
(n == 0 || n == 1)) {
FLAGS_verify_checksum = n;
} else if (sscanf(argv[i], "--bufferedio=%d%c", &n, &junk) == 1 &&
(n == 0 || n == 1)) {
FLAGS_use_os_buffer = n;
} else if (sscanf(argv[i], "--mmap_read=%d%c", &n, &junk) == 1 &&
(n == 0 || n == 1)) {
FLAGS_use_mmap_reads = n;
} else if (sscanf(argv[i], "--mmap_write=%d%c", &n, &junk) == 1 &&
(n == 0 || n == 1)) {
FLAGS_use_mmap_writes = n;
} else if (sscanf(argv[i], "--readahead=%d%c", &n, &junk) == 1 &&
(n == 0 || n == 1)) {
FLAGS_use_fsreadahead = n;
} else if (sscanf(argv[i], "--readahead_compactions=%d%c", &n, &junk) == 1&&
(n == 0 || n == 1)) {
FLAGS_use_readahead_compactions = n;
} else if (sscanf(argv[i], "--statistics=%d%c", &n, &junk) == 1 &&
(n == 0 || n == 1)) {
if (n == 1) {
dbstats.reset(new leveldb::DBStatistics());
FLAGS_statistics = true;
}
} else if (sscanf(argv[i], "--writes=%d%c", &n, &junk) == 1) {
FLAGS_writes = n;
} else if (sscanf(argv[i], "--writes_per_second=%d%c", &n, &junk) == 1) {
FLAGS_writes_per_second = n;
} else if (sscanf(argv[i], "--sync=%d%c", &n, &junk) == 1 &&
(n == 0 || n == 1)) {
FLAGS_sync = n;
} else if (sscanf(argv[i], "--readwritepercent=%d%c", &n, &junk) == 1 &&
n > 0 && n < 100) {
FLAGS_readwritepercent = n;
[Missed adding cmdline parsing for new flags added in D8685] Summary: I had added FLAGS_numdistinct and FLAGS_deletepercent for randomwithverify but forgot to add cmdline parsing for those flags. Test Plan: [nponnekanti@dev902 /data/users/nponnekanti/rocksdb] ./db_bench --benchmarks=randomwithverify --numdistinct=500 LevelDB: version 1.5 Date: Thu Feb 21 10:34:40 2013 CPU: 24 * Intel(R) Xeon(R) CPU X5650 @ 2.67GHz CPUCache: 12288 KB Keys: 16 bytes each Values: 100 bytes each (50 bytes after compression) Entries: 1000000 RawSize: 110.6 MB (estimated) FileSize: 62.9 MB (estimated) Compression: snappy WARNING: Assertions are enabled; benchmarks unnecessarily slow ------------------------------------------------ Created bg thread 0x7fbf90bff700 randomwithverify : 4.693 micros/op 213098 ops/sec; ( get:900000 put:80000 del:20000 total:1000000 found:714556) [nponnekanti@dev902 /data/users/nponnekanti/rocksdb] ./db_bench --benchmarks=randomwithverify --deletepercent=5 LevelDB: version 1.5 Date: Thu Feb 21 10:35:03 2013 CPU: 24 * Intel(R) Xeon(R) CPU X5650 @ 2.67GHz CPUCache: 12288 KB Keys: 16 bytes each Values: 100 bytes each (50 bytes after compression) Entries: 1000000 RawSize: 110.6 MB (estimated) FileSize: 62.9 MB (estimated) Compression: snappy WARNING: Assertions are enabled; benchmarks unnecessarily slow ------------------------------------------------ Created bg thread 0x7fe14dfff700 randomwithverify : 4.883 micros/op 204798 ops/sec; ( get:900000 put:50000 del:50000 total:1000000 found:443847) [nponnekanti@dev902 /data/users/nponnekanti/rocksdb] [nponnekanti@dev902 /data/users/nponnekanti/rocksdb] ./db_bench --benchmarks=randomwithverify --deletepercent=5 --numdistinct=500 LevelDB: version 1.5 Date: Thu Feb 21 10:36:18 2013 CPU: 24 * Intel(R) Xeon(R) CPU X5650 @ 2.67GHz CPUCache: 12288 KB Keys: 16 bytes each Values: 100 bytes each (50 bytes after compression) Entries: 1000000 RawSize: 110.6 MB (estimated) FileSize: 62.9 MB (estimated) Compression: snappy WARNING: Assertions are enabled; benchmarks unnecessarily slow ------------------------------------------------ Created bg thread 0x7fc31c7ff700 randomwithverify : 4.920 micros/op 203233 ops/sec; ( get:900000 put:50000 del:50000 total:1000000 found:445522) Revert Plan: OK Task ID: # Reviewers: dhruba, emayanke Reviewed By: dhruba CC: leveldb Differential Revision: https://reviews.facebook.net/D8769
2013-02-21 19:36:56 +01:00
} else if (sscanf(argv[i], "--deletepercent=%d%c", &n, &junk) == 1 &&
n > 0 && n < 100) {
FLAGS_deletepercent = n;
} else if (sscanf(argv[i], "--disable_data_sync=%d%c", &n, &junk) == 1 &&
(n == 0 || n == 1)) {
FLAGS_disable_data_sync = n;
} else if (sscanf(argv[i], "--use_fsync=%d%c", &n, &junk) == 1 &&
(n == 0 || n == 1)) {
FLAGS_use_fsync = n;
} else if (sscanf(argv[i], "--disable_wal=%d%c", &n, &junk) == 1 &&
(n == 0 || n == 1)) {
FLAGS_disable_wal = n;
} else if (sscanf(argv[i], "--use_snapshot=%d%c", &n, &junk) == 1 &&
(n == 0 || n == 1)) {
FLAGS_use_snapshot = n;
} else if (sscanf(argv[i], "--get_approx=%d%c", &n, &junk) == 1 &&
(n == 0 || n == 1)) {
FLAGS_get_approx = n;
} else if (sscanf(argv[i], "--hdfs=%s", hdfsname) == 1) {
FLAGS_env = new leveldb::HdfsEnv(hdfsname);
} else if (sscanf(argv[i], "--num_levels=%d%c",
&n, &junk) == 1) {
FLAGS_num_levels = n;
} else if (sscanf(argv[i], "--target_file_size_base=%d%c",
&n, &junk) == 1) {
FLAGS_target_file_size_base = n;
} else if ( sscanf(argv[i], "--target_file_size_multiplier=%d%c",
&n, &junk) == 1) {
FLAGS_target_file_size_multiplier = n;
} else if (
sscanf(argv[i], "--max_bytes_for_level_base=%ld%c", &l, &junk) == 1) {
FLAGS_max_bytes_for_level_base = l;
} else if (sscanf(argv[i], "--max_bytes_for_level_multiplier=%d%c",
&n, &junk) == 1) {
FLAGS_max_bytes_for_level_multiplier = n;
} else if (sscanf(argv[i],"--level0_stop_writes_trigger=%d%c",
&n, &junk) == 1) {
FLAGS_level0_stop_writes_trigger = n;
} else if (sscanf(argv[i],"--level0_slowdown_writes_trigger=%d%c",
&n, &junk) == 1) {
FLAGS_level0_slowdown_writes_trigger = n;
} else if (sscanf(argv[i],"--level0_file_num_compaction_trigger=%d%c",
&n, &junk) == 1) {
FLAGS_level0_file_num_compaction_trigger = n;
} else if (strncmp(argv[i], "--compression_type=", 19) == 0) {
const char* ctype = argv[i] + 19;
if (!strcasecmp(ctype, "none"))
FLAGS_compression_type = leveldb::kNoCompression;
else if (!strcasecmp(ctype, "snappy"))
FLAGS_compression_type = leveldb::kSnappyCompression;
else if (!strcasecmp(ctype, "zlib"))
FLAGS_compression_type = leveldb::kZlibCompression;
else if (!strcasecmp(ctype, "bzip2"))
FLAGS_compression_type = leveldb::kBZip2Compression;
else {
fprintf(stdout, "Cannot parse %s\n", argv[i]);
}
} else if (sscanf(argv[i], "--min_level_to_compress=%d%c", &n, &junk) == 1
&& n >= 0) {
Allow having different compression algorithms on different levels. Summary: The leveldb API is enhanced to support different compression algorithms at different levels. This adds the option min_level_to_compress to db_bench that specifies the minimum level for which compression should be done when compression is enabled. This can be used to disable compression for levels 0 and 1 which are likely to suffer from stalls because of the CPU load for memtable flushes and (L0,L1) compaction. Level 0 is special as it gets frequent memtable flushes. Level 1 is special as it frequently gets all:all file compactions between it and level 0. But all other levels could be the same. For any level N where N > 1, the rate of sequential IO for that level should be the same. The last level is the exception because it might not be full and because files from it are not read to compact with the next larger level. The same amount of time will be spent doing compaction at any level N excluding N=0, 1 or the last level. By this standard all of those levels should use the same compression. The difference is that the loss (using more disk space) from a faster compression algorithm is less significant for N=2 than for N=3. So we might be willing to trade disk space for faster write rates with no compression for L0 and L1, snappy for L2, zlib for L3. Using a faster compression algorithm for the mid levels also allows us to reclaim some cpu without trading off much loss in disk space overhead. Also note that little is to be gained by compressing levels 0 and 1. For a 4-level tree they account for 10% of the data. For a 5-level tree they account for 1% of the data. With compression enabled: * memtable flush rate is ~18MB/second * (L0,L1) compaction rate is ~30MB/second With compression enabled but min_level_to_compress=2 * memtable flush rate is ~320MB/second * (L0,L1) compaction rate is ~560MB/second This practicaly takes the same code from https://reviews.facebook.net/D6225 but makes the leveldb api more general purpose with a few additional lines of code. Test Plan: make check Differential Revision: https://reviews.facebook.net/D6261
2012-10-28 07:13:17 +01:00
FLAGS_min_level_to_compress = n;
} else if (sscanf(argv[i], "--disable_seek_compaction=%d%c", &n, &junk) == 1
&& (n == 0 || n == 1)) {
FLAGS_disable_seek_compaction = n;
} else if (sscanf(argv[i], "--delete_obsolete_files_period_micros=%ld%c",
&l, &junk) == 1) {
FLAGS_delete_obsolete_files_period_micros = l;
} else if (sscanf(argv[i], "--stats_interval=%d%c", &n, &junk) == 1 &&
n >= 0 && n < 2000000000) {
FLAGS_stats_interval = n;
} else if (sscanf(argv[i], "--stats_per_interval=%d%c", &n, &junk) == 1
&& (n == 0 || n == 1)) {
FLAGS_stats_per_interval = n;
} else if (sscanf(argv[i], "--rate_limit=%lf%c", &d, &junk) == 1 &&
d > 1.0) {
FLAGS_rate_limit = d;
} else if (sscanf(argv[i],
"--rate_limit_delay_milliseconds=%d%c", &n, &junk) == 1
&& n > 0) {
FLAGS_rate_limit_delay_milliseconds = n;
} else if (sscanf(argv[i], "--readonly=%d%c", &n, &junk) == 1 &&
(n == 0 || n ==1 )) {
FLAGS_read_only = n;
} else if (sscanf(argv[i], "--max_grandparent_overlap_factor=%d%c",
&n, &junk) == 1) {
FLAGS_max_grandparent_overlap_factor = n;
} else if (sscanf(argv[i], "--disable_auto_compactions=%d%c",
&n, &junk) == 1 && (n == 0 || n ==1)) {
FLAGS_disable_auto_compactions = n;
} else if (sscanf(argv[i], "--source_compaction_factor=%d%c",
&n, &junk) == 1 && n > 0) {
FLAGS_source_compaction_factor = n;
} else if (sscanf(argv[i], "--wal_ttl=%d%c", &n, &junk) == 1) {
FLAGS_WAL_ttl_seconds = static_cast<uint64_t>(n);
} else {
fprintf(stderr, "Invalid flag '%s'\n", argv[i]);
exit(1);
}
}
// The number of background threads should be at least as much the
// max number of concurrent compactions.
FLAGS_env->SetBackgroundThreads(FLAGS_max_background_compactions);
// Choose a location for the test database if none given with --db=<path>
if (FLAGS_db == nullptr) {
leveldb::Env::Default()->GetTestDirectory(&default_db_path);
default_db_path += "/dbbench";
FLAGS_db = default_db_path.c_str();
}
leveldb::Benchmark benchmark;
benchmark.Run();
return 0;
}