* Bug fix/issue #9612 (#9764)
* Fixed ViewExecutionNode retrieval with deleted documents present in view
* Ported solution from 3.4 branch
* Changed index store in collection from vector to set. To make reversable indexes always last to execute
* Fixed re-enter hung
* Index storage fix
* Made index order deterministic
* Fix Mac build
* Added tests for index reversal
* Fixed Mac build
* Code cleanup
* Some cleanup
* Removed some redundand copy constructor calls
* Applied review comments
* Applied review comments
* Update CHANGELOG
* Update CHANGELOG
* remove some non-unused V8 persistents
* do not throw that many bogus assertions
* do not rely on server role being defined
* slightly better debug output for V8 context debugging
* fix collection ids in inventory response
* simplify bootstrap a bit
* slightly better error handling
* make elapsed time a queryable value
* use less memory for stub collections
* added assertions that will always make sense
* added assertions
* do not garbage-collect while waiting
* less copying of parameters
* do not show "load indexes into memory" buttons for mmfiles engine
as all indexes are in memory anyway
* when a collection is truncated via the web interface, flush the WAL and rotate all active journals
this will make close all open journals on leader and followers and make them subject to compaction opportunities
* fix invalid server id values being passed from web interface to backend
* introduce afterTruncate method for indexes
* added test case for issue #3447
* updated CHANGELOG
* don't warn about replicationFactor for system collections
* check that the queries actually use the geo index and not some other index
* properly report error in web interface
* fix some internals checks that made truncate fail for bigger collections in maintainer mode
* also run a compact() operation after a serious truncate
in order to make iteration over the truncated range much faster
when the collection is next accessed
* increase default maximum number of V8 contexts to at least 16
* Make isRestore work in the cluster.
This covers sharded collections with default sharding and non-default
sharding.
* always use locally generate revision ids for storing and looking up documents
* do not use V8 variant of AQL functions in early optimization stage when a C++ variant is available
* additionally, simplify AQL function definitions and aliases
* warn when more than 90% of max mappings are in use
* added C++ variant of replication catchup
* added `--log.role` option
* updated CHANGELOG
* removed non-existing scheduler.threads option from config
* removed useless __FILE__, __LINE__ invocations
* updated CHANGELOG
* allow a priority V8 context
* remove TRI_CORE_MEM_ZONE
* try to fix Windows errors & warnings
* cleanup
* removed memory zones altogether
* exclude system collections from collection tests
* reduce extractions to projections
* recycle string buffers in SocketTask
* micro optimizations for mmfiles indexes
* added special lookup function for _key
* moved function into the correct file
* speed up key buffer allocations a bit
* added noexcept specifier
* correctly name variable
* explicitly move bounds
* fix and speedup from/toPersistent functions
* reuse string from ManagedDocumentResult for multiple lookups
* use move-assign
* a bit less work for single server
* speedup AQL function HASH
* single fetch optimization
* performance optimization for the case when no documents need to be returned
* make reduce-extraction-to-projection a RocksDB-only optimizer rule
* cppcheck
* try to fix compile error on MacOS
* bug fix for MacOSX
* missing namespace (in Windows compile)
* reduce extractions to projections
* recycle string buffers in SocketTask
* micro optimizations for mmfiles indexes
* added special lookup function for _key
* moved function into the correct file
* speed up key buffer allocations a bit
* added noexcept specifier
* correctly name variable
* explicitly move bounds
* fix and speedup from/toPersistent functions
* reuse string from ManagedDocumentResult for multiple lookups
* use move-assign
* a bit less work for single server
* speedup AQL function HASH
* single fetch optimization
* performance optimization for the case when no documents need to be returned
* make reduce-extraction-to-projection a RocksDB-only optimizer rule
Andrey Abramov
Dronplane
Jan
Simon
Dan Larkin-York
Frank Celler
Vasiliy
jsteemann