Since this commit can definitelly throw (i.e. due to ENOSPC).
Note, that it should be safe, since rollback() will call dropPart() for
those parts.
Signed-off-by: Azat Khuzhin <a.khuzhin@semrush.com>
- TSA is a static analyzer build by Google which finds race conditions
and deadlocks at compile time.
- It works by associating a shared member variable with a
synchronization primitive that protects it. The compiler can then
check at each access if proper locking happened before. A good
introduction are [0] and [1].
- TSA requires some help by the programmer via annotations. Luckily,
LLVM's libcxx already has annotations for std::mutex, std::lock_guard,
std::shared_mutex and std::scoped_lock. This commit enables them
(--> contrib/libcxx-cmake/CMakeLists.txt).
- Further, this commit adds convenience macros for the low-level
annotations for use in ClickHouse (--> base/defines.h). For
demonstration, they are leveraged in a few places.
- As we compile with "-Wall -Wextra -Weverything", the required compiler
flag "-Wthread-safety-analysis" was already enabled. Negative checks
are an experimental feature of TSA and disabled
(--> cmake/warnings.cmake). Compile times did not increase noticeably.
- TSA is used in a few places with simple locking. I tried TSA also
where locking is more complex. The problem was usually that it is
unclear which data is protected by which lock :-(. But there was
definitely some weird code where locking looked broken. So there is
some potential to find bugs.
*** Limitations of TSA besides the ones listed in [1]:
- The programmer needs to know which lock protects which piece of shared
data. This is not always easy for large classes.
- Two synchronization primitives used in ClickHouse are not annotated in
libcxx:
(1) std::unique_lock: A releaseable lock handle often together with
std::condition_variable, e.g. in solve producer-consumer problems.
(2) std::recursive_mutex: A re-entrant mutex variant. Its usage can be
considered a design flaw + typically it is slower than a standard
mutex. In this commit, one std::recursive_mutex was converted to
std::mutex and annotated with TSA.
- For free-standing functions (e.g. helper functions) which are passed
shared data members, it can be tricky to specify the associated lock.
This is because the annotations use the normal C++ rules for symbol
resolution.
[0] https://clang.llvm.org/docs/ThreadSafetyAnalysis.html
[1] https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/42958.pdf
For async s3 writes final part flushing was defered until all the INSERT
block was processed, however in case of too many partitions/columns you
may exceed max_memory_usage limit (since each stream has overhead).
Introduce max_insert_delayed_streams_for_parallel_writes (with default
to 1000 for S3, 0 otherwise), to avoid this.
This should "Memory limit exceeded" errors in performance tests.
Signed-off-by: Azat Khuzhin <a.khuzhin@semrush.com>
In #33291 final part commit had been defered, and now it can take
significantly more time, that may lead to "Part directory doesn't exist"
error during INSERT:
2022.02.21 18:18:06.979881 [ 11329 ] {insert} <Debug> executeQuery: (from 127.1:24572, user: default) INSERT INTO db.table (...) VALUES
2022.02.21 20:58:03.933593 [ 11329 ] {insert} <Trace> db.table: Renaming temporary part tmp_insert_20220214_18044_18044_0 to 20220214_270654_270654_0.
2022.02.21 21:16:50.961917 [ 11329 ] {insert} <Trace> db.table: Renaming temporary part tmp_insert_20220214_18197_18197_0 to 20220214_270689_270689_0.
...
2022.02.22 21:16:57.632221 [ 64878 ] {} <Warning> db.table: Removing temporary directory /clickhouse/data/db/table/tmp_insert_20220214_18232_18232_0/
...
2022.02.23 12:23:56.277480 [ 11329 ] {insert} <Trace> db.table: Renaming temporary part tmp_insert_20220214_18232_18232_0 to 20220214_273459_273459_0.
2022.02.23 12:23:56.299218 [ 11329 ] {insert} <Error> executeQuery: Code: 107. DB::Exception: Part directory /clickhouse/data/db/table/tmp_insert_20220214_18232_18232_0/ doesn't exist. Most likely it is a logical error. (FILE_DOESNT_EXIST) (version 22.2.1.1) (from 127.1:24572) (in query: INSERT INTO db.table (...) VALUES), Stack trace (when copying this message, always include the lines below):
Follow-up for: #28760
Refs: #33291
Signed-off-by: Azat Khuzhin <a.khuzhin@semrush.com>
Before it was possible to return stale counter from
StorageMergeTree::totalRows() (that is used for
optimize_trivial_count_query) since the accounting is done in two steps:
- subtract old number of rows
<-- here the number can be zero, even though there are rows -->
- add new number of rows
This was found by CI [1] in 01615_random_one_shard_insertion test:
Here you can see that INSERT went to both tables:
<details>
2022.01.16 09:07:34.288252 [ 154369 ] {a1905be0-93da-460c-8c6f-9b5adace72a0} <Debug> DistributedBlockOutputStream: It took 0.035197041 sec. to insert 100
blocks, 2841.1479249065287 rows per second. Insertion status:
Wrote 54 blocks and 54 rows on shard 0 replica 0, localhost:9000 (average 0 ms per block, the slowest block 1 ms)
Wrote 46 blocks and 46 rows on shard 1 replica 0, localhost:9000 (average 0 ms per block, the slowest block 1 ms)
</details>
But the test fails, since select from shard1.tbl returns 0, and the
problem was concurrent merge:
<details>
2022.01.16 09:07:34.289470 [ 146495 ] {cd9d4cf2-7131-4179-b0b2-3aeec4045755} <Debug> executeQuery: (from [::1]:42082) (comment: 01615_random_one_shard_insertion.sql) select count() != 0 from shard_0.tbl;
2022.01.16 09:07:34.289564 [ 375 ] {c7a885fa-4ef4-4dcf-a4de-1650d44fa0ab::all_1_54_9} <Debug> MergeTask::MergeProjectionsStage: Merge sorted 54 rows, containing 1 columns (1 merged, 0 gathered) in 0.00171193 sec., 31543.345814373253 rows/sec., 246.43 KiB>
2022.01.16 09:07:34.289810 [ 375 ] {c7a885fa-4ef4-4dcf-a4de-1650d44fa0ab::all_1_54_9} <Trace> shard_0.tbl (c7a885fa-4ef4-4dcf-a4de-1650d44fa0ab): Renaming temporary part tmp_merge_all_1_54_9 to all_1_54_9.
2022.01.16 09:07:34.289858 [ 146495 ] {cd9d4cf2-7131-4179-b0b2-3aeec4045755} <Trace> ContextAccess (default): Access granted: SELECT(number) ON shard_0.tbl
2022.01.16 09:07:34.289897 [ 375 ] {c7a885fa-4ef4-4dcf-a4de-1650d44fa0ab::all_1_54_9} <Trace> shard_0.tbl (c7a885fa-4ef4-4dcf-a4de-1650d44fa0ab) (MergerMutator): Merged 6 parts: from all_1_49_8 to all_54_54_0
2022.01.16 09:07:34.289920 [ 146495 ] {cd9d4cf2-7131-4179-b0b2-3aeec4045755} <Trace> InterpreterSelectQuery: WithMergeableState -> Complete
2022.01.16 09:07:34.289987 [ 375 ] {} <Debug> MemoryTracker: Peak memory usage Mutate/Merge: 3.12 MiB.
2022.01.16 09:07:34.290305 [ 154344 ] {cd9d4cf2-7131-4179-b0b2-3aeec4045755} <Trace> MergingAggregatedTransform: Reading blocks of partially aggregated data.
2022.01.16 09:07:34.290332 [ 154344 ] {cd9d4cf2-7131-4179-b0b2-3aeec4045755} <Debug> MergingAggregatedTransform: Read 1 blocks of partially aggregated data, total 1 rows.
2022.01.16 09:07:34.290343 [ 154344 ] {cd9d4cf2-7131-4179-b0b2-3aeec4045755} <Trace> Aggregator: Merging partially aggregated single-level data.
2022.01.16 09:07:34.290358 [ 154344 ] {cd9d4cf2-7131-4179-b0b2-3aeec4045755} <Trace> Aggregator: Merged partially aggregated single-level data.
2022.01.16 09:07:34.290366 [ 154344 ] {cd9d4cf2-7131-4179-b0b2-3aeec4045755} <Trace> Aggregator: Converting aggregated data to blocks
2022.01.16 09:07:34.290391 [ 154344 ] {cd9d4cf2-7131-4179-b0b2-3aeec4045755} <Debug> Aggregator: Converted aggregated data to blocks. 1 rows, 8.00 B in 1.0939e-05 sec. (91416.034 rows/sec., 714.19 KiB/sec.)
2022.01.16 09:07:34.290709 [ 146495 ] {cd9d4cf2-7131-4179-b0b2-3aeec4045755} <Information> executeQuery: Read 1 rows, 4.01 KiB in 0.001187722 sec., 841 rows/sec., 3.30 MiB/sec.
2022.01.16 09:07:34.290774 [ 146495 ] {cd9d4cf2-7131-4179-b0b2-3aeec4045755} <Debug> MemoryTracker: Peak memory usage (for query): 0.00 B.
</details>
[1]: https://s3.amazonaws.com/clickhouse-test-reports/33675/7848ea7d609e4c720e8e4494eb6207c0751f5aea/stateless_tests__ubsan__actions_.html
This also fixes a race between DROP TABLE check and INSERT/merges.
v0: use Active parts instead.
v2: fix total counters accounting instead.