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Create fillanddeleteuniquerandom benchmark (db_bench), with new option flags. (#8593)

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Summary:
Introduction of a new `fillanddeleteuniquerandom` benchmark (`db_bench`) with 5 new option flags to simulate a benchmark where the following sequence is repeated multiple times:
"A set of keys S1 is inserted ('`disposable entries`'), then after some delay another set of keys S2 is inserted ('`persistent entries`') and the first set of keys S1 is deleted. S2 artificially represents the insertion of hypothetical results from some undefined computation done on the first set of keys S1. The next sequence can start as soon as the last disposable entry in the set S1 of this sequence is inserted, if the `delay` is non negligible."
New flags:
- `disposable_entries_delete_delay`: minimum delay in microseconds between insertion of the last `disposable` entry, and the start of the insertion of the first `persistent` entry.
- `disposable_entries_batch_size`: number of `disposable` entries inserted at the beginning of each sequence.
- `disposable_entries_value_size`: size of the random `value` string for the `disposable` entries.
- `persistent_entries_batch_size`: number of `persistent` entries inserted at the end of each sequence, right before the deletion of the `disposable` entries starts.
- `persistent_entries_value_size`: size of the random value string for the `persistent` entries.

Pull Request resolved: https://github.com/facebook/rocksdb/pull/8593

Reviewed By: pdillinger

Differential Revision: D29974436

Pulled By: bjlemaire

fbshipit-source-id: f578033e5b45e8268ba6fa6f38f4770c2e6e801d
main
Baptiste Lemaire 3 years ago committed by Facebook GitHub Bot
parent e8f218cb68
commit 9501279d5f
1 changed files with 206 additions and 6 deletions
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  1. 212
      tools/db_bench_tool.cc

212
tools/db_bench_tool.cc
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@ -32,6 +32,7 @@
#include <cstddef>
#include <memory>
#include <mutex>
#include <queue>
#include <thread>
#include <unordered_map>
@ -351,6 +352,42 @@ DEFINE_uint32(overwrite_window_size, 1,
"Warning: large values can affect throughput. "
"Valid overwrite_window_size values: [1, kMaxUint32].");
DEFINE_uint64(
disposable_entries_delete_delay, 0,
"Minimum delay in microseconds for the series of Deletes "
"to be issued. When 0 the insertion of the last disposable entry is "
"immediately followed by the issuance of the Deletes. "
"(only compatible with fillanddeleteuniquerandom benchmark).");
DEFINE_uint64(disposable_entries_batch_size, 0,
"Number of consecutively inserted disposable KV entries "
"that will be deleted after 'delete_delay' microseconds. "
"A series of Deletes is always issued once all the "
"disposable KV entries it targets have been inserted "
"into the DB. When 0 no deletes are issued and a "
"regular 'filluniquerandom' benchmark occurs. "
"(only compatible with fillanddeleteuniquerandom benchmark)");
DEFINE_int32(disposable_entries_value_size, 64,
"Size of the values (in bytes) of the entries targeted by "
"selective deletes. "
"(only compatible with fillanddeleteuniquerandom benchmark)");
DEFINE_uint64(
persistent_entries_batch_size, 0,
"Number of KV entries being inserted right before the deletes "
"targeting the disposable KV entries are issued. These "
"persistent keys are not targeted by the deletes, and will always "
"remain valid in the DB. (only compatible with "
"--benchmarks='fillanddeleteuniquerandom' "
"and used when--disposable_entries_batch_size is > 0).");
DEFINE_int32(persistent_entries_value_size, 64,
"Size of the values (in bytes) of the entries not targeted by "
"deletes. (only compatible with "
"--benchmarks='fillanddeleteuniquerandom' "
"and used when--disposable_entries_batch_size is > 0).");
DEFINE_double(read_random_exp_range, 0.0,
"Read random's key will be generated using distribution of "
"num * exp(-r) where r is uniform number from 0 to this value. "
@ -3265,12 +3302,13 @@ class Benchmark {
} else if (name == "fillrandom") {
fresh_db = true;
method = &Benchmark::WriteRandom;
} else if (name == "filluniquerandom") {
} else if (name == "filluniquerandom" ||
name == "fillanddeleteuniquerandom") {
fresh_db = true;
if (num_threads > 1) {
fprintf(stderr,
"filluniquerandom multithreaded not supported"
", use 1 thread");
"filluniquerandom and fillanddeleteuniquerandom "
"multithreaded not supported, use 1 thread");
num_threads = 1;
}
method = &Benchmark::WriteUniqueRandom;
@ -4663,6 +4701,13 @@ class Benchmark {
return std::numeric_limits<uint64_t>::max();
}
// Only available for UNIQUE_RANDOM mode.
uint64_t Fetch(uint64_t index) {
assert(mode_ == UNIQUE_RANDOM);
assert(index < values_.size());
return values_[index];
}
private:
Random64* rand_;
WriteMode mode_;
@ -4734,7 +4779,7 @@ class Benchmark {
std::unique_ptr<const char[]> end_key_guard;
Slice end_key = AllocateKey(&end_key_guard);
double p = 0.0;
uint64_t num_overwrites = 0, num_unique_keys = 0;
uint64_t num_overwrites = 0, num_unique_keys = 0, num_selective_deletes = 0;
// If user set overwrite_probability flag,
// check if value is in [0.0,1.0].
if (FLAGS_overwrite_probability > 0.0) {
@ -4763,6 +4808,49 @@ class Benchmark {
std::deque<int64_t> inserted_key_window;
Random64 reservoir_id_gen(FLAGS_seed);
// --- Variables used in disposable/persistent keys simulation:
// The following variables are used when
// disposable_entries_batch_size is >0. We simualte a workload
// where the following sequence is repeated multiple times:
// "A set of keys S1 is inserted ('disposable entries'), then after
// some delay another set of keys S2 is inserted ('persistent entries')
// and the first set of keys S1 is deleted. S2 artificially represents
// the insertion of hypothetical results from some undefined computation
// done on the first set of keys S1. The next sequence can start as soon
// as the last disposable entry in the set S1 of this sequence is
// inserted, if the delay is non negligible"
bool skip_for_loop = false, is_disposable_entry = true;
std::vector<uint64_t> disposable_entries_index(num_key_gens, 0);
std::vector<uint64_t> persistent_ent_and_del_index(num_key_gens, 0);
const uint64_t kNumDispAndPersEntries =
FLAGS_disposable_entries_batch_size +
FLAGS_persistent_entries_batch_size;
if (kNumDispAndPersEntries > 0) {
if ((write_mode != UNIQUE_RANDOM) || (writes_per_range_tombstone_ > 0) ||
(p > 0.0)) {
fprintf(
stderr,
"Disposable/persistent deletes are not compatible with overwrites "
"and DeleteRanges; and are only supported in filluniquerandom.\n");
ErrorExit();
}
if (FLAGS_disposable_entries_value_size < 0 ||
FLAGS_persistent_entries_value_size < 0) {
fprintf(
stderr,
"disposable_entries_value_size and persistent_entries_value_size"
"have to be positive.\n");
ErrorExit();
}
}
Random rnd_disposable_entry(static_cast<uint32_t>(FLAGS_seed));
std::string random_value;
// Queue that stores scheduled timestamp of disposable entries deletes,
// along with starting index of disposable entry keys to delete.
std::vector<std::queue<std::pair<uint64_t, uint64_t>>> disposable_entries_q(
num_key_gens);
// --- End of variables used in disposable/persistent keys simulation.
std::vector<std::unique_ptr<const char[]>> expanded_key_guards;
std::vector<Slice> expanded_keys;
if (FLAGS_expand_range_tombstones) {
@ -4814,11 +4902,101 @@ class Benchmark {
inserted_key_window.push_back(rand_num);
}
}
} else if (kNumDispAndPersEntries > 0) {
// Check if queue is non-empty and if we need to insert
// 'persistent' KV entries (KV entries that are never deleted)
// and delete disposable entries previously inserted.
if (!disposable_entries_q[id].empty() &&
(disposable_entries_q[id].front().first <
FLAGS_env->NowMicros())) {
// If we need to perform a "merge op" pattern,
// we first write all the persistent KV entries not targeted
// by deletes, and then we write the disposable entries deletes.
if (persistent_ent_and_del_index[id] <
FLAGS_persistent_entries_batch_size) {
// Generate key to insert.
rand_num =
key_gens[id]->Fetch(disposable_entries_q[id].front().second +
FLAGS_disposable_entries_batch_size +
persistent_ent_and_del_index[id]);
persistent_ent_and_del_index[id]++;
is_disposable_entry = false;
skip_for_loop = false;
} else if (persistent_ent_and_del_index[id] <
kNumDispAndPersEntries) {
// Find key of the entry to delete.
rand_num =
key_gens[id]->Fetch(disposable_entries_q[id].front().second +
(persistent_ent_and_del_index[id] -
FLAGS_persistent_entries_batch_size));
persistent_ent_and_del_index[id]++;
GenerateKeyFromInt(rand_num, FLAGS_num, &key);
// For the delete operation, everything happens here and we
// skip the rest of the for-loop, which is designed for
// inserts.
if (FLAGS_num_column_families <= 1) {
batch.Delete(key);
} else {
// We use same rand_num as seed for key and column family so
// that we can deterministically find the cfh corresponding to a
// particular key while reading the key.
batch.Delete(db_with_cfh->GetCfh(rand_num), key);
}
// A delete only includes Key+Timestamp (no value).
batch_bytes += key_size_ + user_timestamp_size_;
bytes += key_size_ + user_timestamp_size_;
num_selective_deletes++;
// Skip rest of the for-loop (j=0, j<entries_per_batch_,j++).
skip_for_loop = true;
} else {
assert(false); // should never reach this point.
}
// If disposable_entries_q needs to be updated (ie: when a selective
// insert+delete was successfully completed, pop the job out of the
// queue).
if (!disposable_entries_q[id].empty() &&
(disposable_entries_q[id].front().first <
FLAGS_env->NowMicros()) &&
persistent_ent_and_del_index[id] == kNumDispAndPersEntries) {
disposable_entries_q[id].pop();
persistent_ent_and_del_index[id] = 0;
}
// If we are deleting disposable entries, skip the rest of the
// for-loop since there is no key-value inserts at this moment in
// time.
if (skip_for_loop) {
continue;
}
}
// If no job is in the queue, then we keep inserting disposable KV
// entries that will be deleted later by a series of deletes.
else {
rand_num = key_gens[id]->Fetch(disposable_entries_index[id]);
disposable_entries_index[id]++;
is_disposable_entry = true;
if ((disposable_entries_index[id] %
FLAGS_disposable_entries_batch_size) == 0) {
// Skip the persistent KV entries inserts for now
disposable_entries_index[id] +=
FLAGS_persistent_entries_batch_size;
}
}
} else {
rand_num = key_gens[id]->Next();
}
GenerateKeyFromInt(rand_num, FLAGS_num, &key);
Slice val = gen.Generate();
Slice val;
if (kNumDispAndPersEntries > 0) {
random_value = rnd_disposable_entry.RandomString(
is_disposable_entry ? FLAGS_disposable_entries_value_size
: FLAGS_persistent_entries_value_size);
val = Slice(random_value);
num_unique_keys++;
} else {
val = gen.Generate();
}
if (use_blob_db_) {
#ifndef ROCKSDB_LITE
// Stacked BlobDB
@ -4843,6 +5021,23 @@ class Benchmark {
batch_bytes += val.size() + key_size_ + user_timestamp_size_;
bytes += val.size() + key_size_ + user_timestamp_size_;
++num_written;
// If all disposable entries have been inserted, then we need to
// add in the job queue a call for 'persistent entry insertions +
// disposable entry deletions'.
if (kNumDispAndPersEntries > 0 && is_disposable_entry &&
((disposable_entries_index[id] % kNumDispAndPersEntries) == 0)) {
// Queue contains [timestamp, starting_idx],
// timestamp = current_time + delay (minimum aboslute time when to
// start inserting the selective deletes) starting_idx = index in the
// keygen of the rand_num to generate the key of the first KV entry to
// delete (= key of the first selective delete).
disposable_entries_q[id].push(std::make_pair(
FLAGS_env->NowMicros() +
FLAGS_disposable_entries_delete_delay /* timestamp */,
disposable_entries_index[id] - kNumDispAndPersEntries
/*starting idx*/));
}
if (writes_per_range_tombstone_ > 0 &&
num_written > writes_before_delete_range_ &&
(num_written - writes_before_delete_range_) /
@ -4946,9 +5141,14 @@ class Benchmark {
}
if ((write_mode == UNIQUE_RANDOM) && (p > 0.0)) {
fprintf(stdout,
"Number of unique keys inerted: %" PRIu64
"Number of unique keys inserted: %" PRIu64
".\nNumber of overwrites: %" PRIu64 "\n",
num_unique_keys, num_overwrites);
} else if (kNumDispAndPersEntries > 0) {
fprintf(stdout,
"Number of unique keys inserted (disposable+persistent): %" PRIu64
".\nNumber of 'disposable entry delete': %" PRIu64 "\n",
num_written, num_selective_deletes);
}
thread->stats.AddBytes(bytes);
}

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