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Stephen Atherton 95cd5dc3a2 Updated installer package GUID, updated docs for 5.0.3.

2017-08-09 22:29:02 -07:00

Move some memory related activities outside of the timed block

2017-08-09 14:36:19 -07:00

Initial repository commit

2017-05-25 13:48:44 -07:00

fix: call initSignalSafeUnwind in fdbcli and backup to avoid hangs in slow task profiling.

2017-08-07 15:55:08 -07:00

fix: call initSignalSafeUnwind in fdbcli and backup to avoid hangs in slow task profiling.

2017-08-07 15:55:08 -07:00

Add warning that the slow task profiling network option is not recommended for use in production.

2017-08-09 14:39:05 -07:00

Initial repository commit

2017-05-25 13:48:44 -07:00

Remove outdated comment from incrementalDelete function.

2017-07-26 15:27:37 -07:00

fix: peek cursors were being timed out every 10 minutes, instead of 10 minutes after the last use

2017-08-09 15:58:06 -07:00

Initial repository commit

2017-05-25 13:48:44 -07:00

Disable profiling if we aren't using the cached dl_iterate_phdr values.

2017-08-08 09:03:04 -07:00

Initial repository commit

2017-05-25 13:48:44 -07:00

Updated installer package GUID, updated docs for 5.0.3.

2017-08-09 22:29:02 -07:00

updated paths and formatting with go docs and examples

2017-07-05 17:25:32 -07:00

java tester support on release-5.0

2017-07-17 16:42:50 -07:00

.gitignore

Initial repository commit

2017-05-25 13:48:44 -07:00

ACKNOWLEDGEMENTS

Initial repository commit

2017-05-25 13:48:44 -07:00

foundationdb.sln

Initial repository commit

2017-05-25 13:48:44 -07:00

LICENSE

Initial repository commit

2017-05-25 13:48:44 -07:00

Makefile

Added min version compilation option for OS X

2017-08-07 11:56:12 -07:00

README.md

Initial repository commit

2017-05-25 13:48:44 -07:00

versions.target

updated version.target for next release

2017-07-27 16:50:27 -07:00

README.md

FoundationDB

FoundationDB is a distributed database designed to handle large volumes of structured data across clusters of commodity servers. It organizes data as an ordered key-value store and employs ACID transactions for all operations. It is especially well-suited for read/write workloads but also has excellent performance for write-intensive workloads. Users interact with the database using API language binding.

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