mirror of https://github.com/facebook/rocksdb.git
Improve bloom_test bits_per_key flag (#8093)
Summary: Improved handling of -bits_per_key other than 10, but at least the OptimizeForMemory test is simply not designed for generally handling other settings. (ribbon_test does have a statistical framework for this kind of testing, but it's not important to do that same for Bloom right now.) Closes https://github.com/facebook/rocksdb/issues/7019 Pull Request resolved: https://github.com/facebook/rocksdb/pull/8093 Test Plan: for I in `seq 1 20`; do ./bloom_test --gtest_filter=-*OptimizeForMemory* --bits_per_key=$I &> /dev/null || echo FAILED; done Reviewed By: mrambacher Differential Revision: D27275875 Pulled By: pdillinger fbshipit-source-id: 7362e8ac2c41ea11f639412e4f30c8b375f04388
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@ -30,6 +30,9 @@ int main() {
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using GFLAGS_NAMESPACE::ParseCommandLineFlags;
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// The test is not fully designed for bits_per_key other than 10, but with
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// this parameter you can easily explore the behavior of other bits_per_key.
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// See also filter_bench.
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DEFINE_int32(bits_per_key, 10, "");
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namespace ROCKSDB_NAMESPACE {
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@ -158,7 +161,8 @@ TEST_F(BlockBasedBloomTest, VaryingLengths) {
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}
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Build();
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ASSERT_LE(FilterSize(), (size_t)((length * 10 / 8) + 40)) << length;
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ASSERT_LE(FilterSize(), (size_t)((length * FLAGS_bits_per_key / 8) + 40))
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<< length;
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// All added keys must match
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for (int i = 0; i < length; i++) {
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@ -172,11 +176,16 @@ TEST_F(BlockBasedBloomTest, VaryingLengths) {
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fprintf(stderr, "False positives: %5.2f%% @ length = %6d ; bytes = %6d\n",
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rate*100.0, length, static_cast<int>(FilterSize()));
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}
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ASSERT_LE(rate, 0.02); // Must not be over 2%
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if (rate > 0.0125) mediocre_filters++; // Allowed, but not too often
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else good_filters++;
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if (FLAGS_bits_per_key == 10) {
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ASSERT_LE(rate, 0.02); // Must not be over 2%
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if (rate > 0.0125) {
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mediocre_filters++; // Allowed, but not too often
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} else {
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good_filters++;
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}
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}
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}
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if (kVerbose >= 1) {
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if (FLAGS_bits_per_key == 10 && kVerbose >= 1) {
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fprintf(stderr, "Filters: %d good, %d mediocre\n",
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good_filters, mediocre_filters);
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}
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@ -481,8 +490,8 @@ TEST_P(FullBloomTest, FullVaryingLengths) {
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}
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Build();
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EXPECT_LE(FilterSize(),
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(size_t)((length * 10 / 8) + CACHE_LINE_SIZE * 2 + 5));
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EXPECT_LE(FilterSize(), (size_t)((length * FLAGS_bits_per_key / 8) +
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CACHE_LINE_SIZE * 2 + 5));
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// All added keys must match
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for (int i = 0; i < length; i++) {
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@ -496,11 +505,14 @@ TEST_P(FullBloomTest, FullVaryingLengths) {
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fprintf(stderr, "False positives: %5.2f%% @ length = %6d ; bytes = %6d\n",
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rate*100.0, length, static_cast<int>(FilterSize()));
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}
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EXPECT_LE(rate, 0.02); // Must not be over 2%
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if (rate > 0.0125)
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mediocre_filters++; // Allowed, but not too often
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else
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good_filters++;
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if (FLAGS_bits_per_key == 10) {
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EXPECT_LE(rate, 0.02); // Must not be over 2%
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if (rate > 0.0125) {
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mediocre_filters++; // Allowed, but not too often
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} else {
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good_filters++;
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}
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}
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}
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if (kVerbose >= 1) {
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fprintf(stderr, "Filters: %d good, %d mediocre\n",
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@ -538,8 +550,10 @@ TEST_P(FullBloomTest, OptimizeForMemory) {
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total_keys += nkeys;
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total_fp_rate += FalsePositiveRate();
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}
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EXPECT_LE(total_fp_rate / double{nfilters}, 0.011);
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EXPECT_GE(total_fp_rate / double{nfilters}, 0.008);
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if (FLAGS_bits_per_key == 10) {
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EXPECT_LE(total_fp_rate / double{nfilters}, 0.011);
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EXPECT_GE(total_fp_rate / double{nfilters}, 0.008);
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}
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int64_t ex_min_total_size = int64_t{FLAGS_bits_per_key} * total_keys / 8;
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if (GetParam() == BloomFilterPolicy::kStandard128Ribbon) {
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