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Document bit_size in match-specs and allow in fun2ms
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* sverker/ets-test-cuddle:
ets_SUITE: Remove more redundant option combos
ets_SUITE: Try avoid redundant option combos
ets_SUITE: Reduce table type combos by removing "void"
ets_SUITE: Optimize throughput_benchmark
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* raimo/test-cuddling:
Decrease probability for failed histogram
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meta_wb
smp_insert
smp_fixed_delete
smp_select_delete
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It is already allowed in match-specs.
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to reduce test times
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Avoid repeating same tests for [] and [set].
Test case 'default' verifies 'set' to be the default type.
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by populating the table with the help of a random number generator
creating series of unique integers.
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Add a more scalable ETS ordered_set implementation
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OTP-14737
* raimo/stdlib/gen_statem-cleanup:
Improve user's guide on time-outs
Clean up and optimize code and doc
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OTP-14461 - New 'rand' algorithm: Xoroshiro928** also for 'crypto'
Implement a new 'rand' algorithm named 'exro928ss' and a new 'crypto' plugin for 'rand' named 'crypto_aes'.
Both are based on Xoroshiro928** which is derived from Xoroshiro1024** modified to use 58-bit words for performance reasons in the Erlang VM. Xoroshiro1024** has got the Xoroshiro1024 generator and the StarStar scrambler from the 2018 paper "Scrambled Linear Pseudorandom Number Generators" by David Blackman and Sebastiano Vigna.
This generator and scrambler combination shows no systematic weaknesses in standard statistical tests as TestU01(BigCrush) and PractRand, unlike the previously used * and + scramblers in the 'rand' module that exhibit statistical weaknesses for the lowest bits.
The 'crypto' plugin uses AES-256 as scrambler and the Xoroshiro928 as generator, which gives the same very long period and jump functions as for Xoroshiro928**, but a cryptographically secure scrambler gives absolutely no detectable statistical weaknesses regardless of how the generated numbers are used.
The speed of 'exro928ss' is only about 30-50% slower than the default fast 'rand' algorithm, but the state is roughly the double and it produces about 8 times the garbage per iteration.
The speed of 'crypto_aes' is about half (amortized) that of the default fast 'rand' algorithm which is fast and thanks to doing encryption in batches caching the result. Hence the state is much larger.
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* siri/cuddle:
[logger] Skip app level test if app cannot be loaded
Terminate nodes after failed test cases in erl_distribution_SUITE
Skip performance test on build types other than 'opt'
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* maint:
stdlib: Allow lists with binaries in the Format argument
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* hasse/stdlib/binary_in_format/OTP-15304:
stdlib: Allow lists with binaries in the Format argument
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As a consequence of some refactoring (OTP-14983, option
'chars_limit'), the Format argument of io_lib:format() no longer
accepts binaries in lists in Erlang/OTP 21.0.
Note that if Format is not of type io:format(), control sequences in
Format are ignored. This can result in unpredictable behaviour if, for
example, the output of io_lib:format() is used as Format: if the
output happens to be a string(), then control sequences are
interpreted, otherwise not.
A check that Format is of type io:format() will likely be introduced
in Erlang/OTP 22.0. That will probably mean work for some users, but
considering how unpredictable io_lib:format() is, we should try to fix
that.
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Conflicts:
lib/crypto/doc/src/crypto.xml
lib/crypto/src/crypto.erl
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Conflicts:
lib/crypto/src/crypto.erl
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The encoding option was introduced in commit
270d909696a753af022df72a404c73f2895b4a02, to allow report callbacks to
format according to a given encoding. There was, however, no
connection between this encoding option, and the encoding of the
device to which the logger handler was writing.
Since a formatter is defined to return unicode:chardata(), and in
order to avoid mismatch with the encoding of the device, the encoding
option is now removed from the formatter. The handler itself must make
sure that it does not write illegal data to its device.
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* siri/supervisor/warn-shutdown-race/ERL-724:
[supervisor] Add warning about race condition
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ERL-724: "During a 'gentle' shutdown, supervisors unlink from their
children before sending shutdown signals to them. This can lead to a
race condition in supervision trees, when the timeout for gentle
shutdown of a parent supervisor expires and it kills a child
supervisor that has just unlinked from a child of its own, leaving the
child supervisor's own child still running after its supervisor is
killed."
This commit adds a warning about this in the documentation.
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* maint:
Update PCRE from version 8.41 to version 8.42
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* rickard/pcre-8.42/OTP-15217:
Update PCRE from version 8.41 to version 8.42
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of repeated table opts
and waiting for workers
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The current ETS ordered_set implementation can quickly become a
scalability bottleneck on multicore machines when an application updates
an ordered_set table from concurrent processes [1][2]. The current
implementation is based on an AVL tree protected from concurrent writes
by a single readers-writer lock. Furthermore, the current implementation
has an optimization, called the stack optimization [3], that can improve
the performance when only a single process accesses a table but can
cause bad scalability even in read-only scenarios. It is possible to
pass the option {write_concurrency, true} to ets:new/2 when creating an
ETS table of type ordered_set but this option has no effect for tables
of type ordered_set without this commit. The new ETS ordered_set
implementation, added by this commit, is only activated when one passes
the options ordered_set and {write_concurrency, true} to the ets:new/2
function. Thus, the previous ordered_set implementation (from here on
called the default implementation) can still be used in applications
that do not benefit from the new implementation. The benchmark results
on the following web page show that the new implementation is many times
faster than the old implementation in some scenarios and that the old
implementation is still better than the new implementation in some
scenarios.
http://winsh.me/ets_catree_benchmark/ets_ca_tree_benchmark_results.html
The new implementation is expected to scale better than the default
implementation when concurrent processes use the following ETS
operations to operate on a table:
delete/2, delete_object/2, first/1, insert/2 (single object),
insert_new/2 (single object), lookup/2, lookup_element/2, member/2,
next/2, take/2 and update_element/3 (single object).
Currently, the new implementation does not have scalable support for the
other operations (e.g., select/2). However, when these operations are
used infrequently, the new implantation may still scale better than the
default implementation as the benchmark results at the URL above shows.
Description of the New Implementation
----------------------------------
The new implementation is based on a data structure which is called the
contention adapting search tree (CA tree for short). The following
publication contains a detailed description of the CA tree:
A Contention Adapting Approach to Concurrent Ordered Sets
Journal of Parallel and Distributed Computing, 2018
Kjell Winblad and Konstantinos Sagonas
https://doi.org/10.1016/j.jpdc.2017.11.007
http://www.it.uu.se/research/group/languages/software/ca_tree/catree_proofs.pdf
A discussion of how the CA tree can be used as an ETS back-end can be
found in another publication [1]. The CA tree is a data structure that
dynamically changes its synchronization granularity based on detected
contention. Internally, the CA tree uses instances of a sequential data
structure to store items. The CA tree implementation contained in this
commit uses the same AVL tree implementation as is used for the default
ordered set implementation. This AVL tree implementation is reused so
that much of the existing code to implement the ETS operations can be
reused.
Tests
-----
The ETS tests in `lib/stdlib/test/ets_SUITE.erl` have been extended to
also test the new ordered_set implementation. The function
ets_SUITE:throughput_benchmark/0 has also been added to this file. This
function can be used to measure and compare the performance of the
different ETS table types and options. This function writes benchmark
data to standard output that can be visualized by the HTML page
`lib/stdlib/test/ets_SUITE_data/visualize_throughput.html`.
[1]
More Scalable Ordered Set for ETS Using Adaptation.
In Thirteenth ACM SIGPLAN workshop on Erlang (2014).
Kjell Winblad and Konstantinos Sagonas.
https://doi.org/10.1145/2633448.2633455
http://www.it.uu.se/research/group/languages/software/ca_tree/erlang_paper.pdf
[2]
On the Scalability of the Erlang Term Storage
In Twelfth ACM SIGPLAN workshop on Erlang (2013)
Kjell Winblad, David Klaftenegger and Konstantinos Sagonas
https://doi.org/10.1145/2505305.2505308
http://winsh.me/papers/erlang_workshop_2013.pdf
[3]
The stack optimization works by keeping one preallocated stack instance
in every ordered_set table. This stack is updated so that it contains
the search path in some read operations (e.g., ets:next/2). This makes
it possible for a subsequent ets:next/2 to avoid traversing some nodes
in some cases. Unfortunately, the preallocated stack needs to be flagged
so that it is not updated concurrently by several threads which cause
bad scalability.
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* sverker/erts/ets-memstat-false-leak/ERL-720/OTP-15278:
erts: Refactor ets FixedDeletion allocations
erts: Fix ets memstat false leak of FixedDeletion
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causing erlang:memory to report too much ets memory.
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It can also return errors and warnings.
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