Commit Graph

11 Commits

Author SHA1 Message Date
Baptiste Lemaire e817bc9628 Added memtable garbage statistics (#8411)
Summary:
**Summary**:
2 new statistics counters are added to RocksDB: `MEMTABLE_PAYLOAD_BYTES_AT_FLUSH` and `MEMTABLE_GARBAGE_BYTES_AT_FLUSH`. The former tracks how many raw bytes of useful data are present on the memtable at flush time, whereas the latter is tracks how many of these raw bytes are considered garbage, meaning that they ended up not being imported on the SSTables resulting from the flush operations.

**Unit test**: run `make db_flush_test -j$(nproc); ./db_flush_test` to run the unit test.
This executable includes 3 tests, that test support and correct stat calculations for workloads with inserts, deletes, and DeleteRanges. The parameters are set such that the workloads are performed on a single memtable, and a single SSTable is created as a result of the flush operation. The flush operation is manually called in the test file. The tests verify that the values of these 2 statistics counters introduced in this PR  can be exactly predicted, showing that we have a full understanding of the underlying operations.

**Performance testing**:
`./db_bench -statistics -benchmarks=fillrandom -num=10000000` repeated 10 times.
Timing done using "date" function in a bash script.
_Results_:
Original Rocksdb fork: mean 66.6 sec, std 1.18 sec.
This feature branch: mean 67.4 sec, std 1.35 sec.

Pull Request resolved: https://github.com/facebook/rocksdb/pull/8411

Reviewed By: akankshamahajan15

Differential Revision: D29150629

Pulled By: bjlemaire

fbshipit-source-id: 7b3c2e86d50c6aa34fa50fd134282eacb543a5b1
2021-06-18 04:57:27 -07:00
sdong 2f1984dd45 Compare memtable insert and flush count (#8288)
Summary:
When a memtable is flushed, it will validate number of entries it reads, and compare the number with how many entries inserted into memtable. This serves as one sanity c\
heck against memory corruption. This change will also allow more counters to be added in the future for better validation.

Pull Request resolved: https://github.com/facebook/rocksdb/pull/8288

Test Plan: Pass all existing tests

Reviewed By: ajkr

Differential Revision: D28369194

fbshipit-source-id: 7ff870380c41eab7f99eee508550dcdce32838ad
2021-05-20 16:07:28 -07:00
sdong fdf882ded2 Replace namespace name "rocksdb" with ROCKSDB_NAMESPACE (#6433)
Summary:
When dynamically linking two binaries together, different builds of RocksDB from two sources might cause errors. To provide a tool for user to solve the problem, the RocksDB namespace is changed to a flag which can be overridden in build time.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/6433

Test Plan: Build release, all and jtest. Try to build with ROCKSDB_NAMESPACE with another flag.

Differential Revision: D19977691

fbshipit-source-id: aa7f2d0972e1c31d75339ac48478f34f6cfcfb3e
2020-02-20 12:09:57 -08:00
Jeffrey Xiao eae9f040eb Initialized pinned_pos_ and pinned_seq_pos_ in FragmentedRangeTombstoneIterator (#5720)
Summary:
These uninitialized member variables can cause a key to not be pinned when it should be, causing erroneous behavior. For example ingesting a file with range deletion tombstones will yield an "external file have corrupted keys" on a Mac.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/5720

Differential Revision: D17217673

fbshipit-source-id: cd7df7ce3ad9cf69c841c4d3dc6fd144eff9e212
2019-09-05 17:30:29 -07:00
Abhishek Madan abf931afa6 Add compaction logic to RangeDelAggregatorV2 (#4758)
Summary:
RangeDelAggregatorV2 now supports ShouldDelete calls on
snapshot stripes and creation of range tombstone compaction iterators.
RangeDelAggregator is no longer used on any non-test code path, and will
be removed in a future commit.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/4758

Differential Revision: D13439254

Pulled By: abhimadan

fbshipit-source-id: fe105bcf8e3d4a2df37a622d5510843cd71b0401
2018-12-17 13:20:51 -08:00
Abhishek Madan cad248f5c6 Prepare FragmentedRangeTombstoneIterator for use in compaction (#4740)
Summary:
To support the flush/compaction use cases of RangeDelAggregator
in v2, FragmentedRangeTombstoneIterator now supports dropping tombstones
that cannot be read in the compaction output file. Furthermore,
FragmentedRangeTombstoneIterator supports the "snapshot striping" use
case by allowing an iterator to be split by a list of snapshots.
RangeDelAggregatorV2 will use these changes in a follow-up change.

In the process of making these changes, other miscellaneous cleanups
were also done in these files.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/4740

Differential Revision: D13287382

Pulled By: abhimadan

fbshipit-source-id: f5aeb03e1b3058049b80c02a558ee48f723fa48c
2018-12-11 12:10:48 -08:00
Abhishek Madan 8fe1e06ca0 Clean up FragmentedRangeTombstoneList (#4692)
Summary:
Removed `one_time_use` flag, which removed the need for some
tests, and changed all `NewRangeTombstoneIterator` methods to return
`FragmentedRangeTombstoneIterators`.

These changes also led to removing `RangeDelAggregatorV2::AddUnfragmentedTombstones`
and one of the `MemTableListVersion::AddRangeTombstoneIterators` methods.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/4692

Differential Revision: D13106570

Pulled By: abhimadan

fbshipit-source-id: cbab5432d7fc2d9cdfd8d9d40361a1bffaa8f845
2018-11-28 15:29:02 -08:00
Abhishek Madan 457f77b9ff Introduce RangeDelAggregatorV2 (#4649)
Summary:
The old RangeDelAggregator did expensive pre-processing work
to create a collapsed, binary-searchable representation of range
tombstones. With FragmentedRangeTombstoneIterator, much of this work is
now unnecessary. RangeDelAggregatorV2 takes advantage of this by seeking
in each iterator to find a covering tombstone in ShouldDelete, while
doing minimal work in AddTombstones. The old RangeDelAggregator is still
used during flush/compaction for now, though RangeDelAggregatorV2 will
support those uses in a future PR.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/4649

Differential Revision: D13146964

Pulled By: abhimadan

fbshipit-source-id: be29a4c020fc440500c137216fcc1cf529571eb3
2018-11-21 10:56:45 -08:00
Abhishek Madan 6bee36a786 Modify FragmentedRangeTombstoneList member layout (#4632)
Summary:
Rather than storing a `vector<RangeTombstone>`, we now store a
`vector<RangeTombstoneStack>` and a `vector<SequenceNumber>`. A
`RangeTombstoneStack` contains the start and end keys of a range tombstone
fragment, and indices into the seqnum vector to indicate which sequence
numbers the fragment is located at. The diagram below illustrates an
example:

```
tombstones_:     [a, b) [c, e) [h, k)
                   | \   /  \   /  |
                   |  \ /    \ /   |
                   v   v      v    v
tombstone_seqs_: [ 5 3 10 7 2 8 6  ]
```

This format allows binary searching the tombstone list to use less key
comparisons, which helps in cases where there are many overlapping
tombstones. Also, this format makes it easier to add DBIter-like
semantics to `FragmentedRangeTombstoneIterator` in the future.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/4632

Differential Revision: D13053103

Pulled By: abhimadan

fbshipit-source-id: e8220cc712fcf5be4d602913bb23ace8ea5f8ef0
2018-11-14 17:52:17 -08:00
Abhishek Madan 7528130e38 Cache fragmented range tombstones in BlockBasedTableReader (#4493)
Summary:
This allows tombstone fragmenting to only be performed when the table is opened, and cached for subsequent accesses.

On the same DB used in #4449, running `readrandom` results in the following:
```
readrandom   :       0.983 micros/op 1017076 ops/sec;   78.3 MB/s (63103 of 100000 found)
```

Now that Get performance in the presence of range tombstones is reasonable, I also compared the performance between a DB with range tombstones, "expanded" range tombstones (several point tombstones that cover the same keys the equivalent range tombstone would cover, a common workaround for DeleteRange), and no range tombstones. The created DBs had 5 million keys each, and DeleteRange was called at regular intervals (depending on the total number of range tombstones being written) after 4.5 million Puts. The table below summarizes the results of a `readwhilewriting` benchmark (in order to provide somewhat more realistic results):
```
   Tombstones?    | avg micros/op | stddev micros/op |  avg ops/s   | stddev ops/s
----------------- | ------------- | ---------------- | ------------ | ------------
None              |        0.6186 |          0.04637 | 1,625,252.90 | 124,679.41
500 Expanded      |        0.6019 |          0.03628 | 1,666,670.40 | 101,142.65
500 Unexpanded    |        0.6435 |          0.03994 | 1,559,979.40 | 104,090.52
1k Expanded       |        0.6034 |          0.04349 | 1,665,128.10 | 125,144.57
1k Unexpanded     |        0.6261 |          0.03093 | 1,600,457.50 |  79,024.94
5k Expanded       |        0.6163 |          0.05926 | 1,636,668.80 | 154,888.85
5k Unexpanded     |        0.6402 |          0.04002 | 1,567,804.70 | 100,965.55
10k Expanded      |        0.6036 |          0.05105 | 1,667,237.70 | 142,830.36
10k Unexpanded    |        0.6128 |          0.02598 | 1,634,633.40 |  72,161.82
25k Expanded      |        0.6198 |          0.04542 | 1,620,980.50 | 116,662.93
25k Unexpanded    |        0.5478 |          0.0362  | 1,833,059.10 | 121,233.81
50k Expanded      |        0.5104 |          0.04347 | 1,973,107.90 | 184,073.49
50k Unexpanded    |        0.4528 |          0.03387 | 2,219,034.50 | 170,984.32
```

After a large enough quantity of range tombstones are written, range tombstone Gets can become faster than reading from an equivalent DB with several point tombstones.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/4493

Differential Revision: D10842844

Pulled By: abhimadan

fbshipit-source-id: a7d44534f8120e6aabb65779d26c6b9df954c509
2018-10-25 19:26:44 -07:00
Abhishek Madan 8c78348c77 Use only "local" range tombstones during Get (#4449)
Summary:
Previously, range tombstones were accumulated from every level, which
was necessary if a range tombstone in a higher level covered a key in a lower
level. However, RangeDelAggregator::AddTombstones's complexity is based on
the number of tombstones that are currently stored in it, which is wasteful in
the Get case, where we only need to know the highest sequence number of range
tombstones that cover the key from higher levels, and compute the highest covering
sequence number at the current level. This change introduces this optimization, and
removes the use of RangeDelAggregator from the Get path.

In the benchmark results, the following command was used to initialize the database:
```
./db_bench -db=/dev/shm/5k-rts -use_existing_db=false -benchmarks=filluniquerandom -write_buffer_size=1048576 -compression_type=lz4 -target_file_size_base=1048576 -max_bytes_for_level_base=4194304 -value_size=112 -key_size=16 -block_size=4096 -level_compaction_dynamic_level_bytes=true -num=5000000 -max_background_jobs=12 -benchmark_write_rate_limit=20971520 -range_tombstone_width=100 -writes_per_range_tombstone=100 -max_num_range_tombstones=50000 -bloom_bits=8
```

...and the following command was used to measure read throughput:
```
./db_bench -db=/dev/shm/5k-rts/ -use_existing_db=true -benchmarks=readrandom -disable_auto_compactions=true -num=5000000 -reads=100000 -threads=32
```

The filluniquerandom command was only run once, and the resulting database was used
to measure read performance before and after the PR. Both binaries were compiled with
`DEBUG_LEVEL=0`.

Readrandom results before PR:
```
readrandom   :       4.544 micros/op 220090 ops/sec;   16.9 MB/s (63103 of 100000 found)
```

Readrandom results after PR:
```
readrandom   :      11.147 micros/op 89707 ops/sec;    6.9 MB/s (63103 of 100000 found)
```

So it's actually slower right now, but this PR paves the way for future optimizations (see #4493).

----
Pull Request resolved: https://github.com/facebook/rocksdb/pull/4449

Differential Revision: D10370575

Pulled By: abhimadan

fbshipit-source-id: 9a2e152be1ef36969055c0e9eb4beb0d96c11f4d
2018-10-24 12:31:12 -07:00