Releases: rwynn/monstache
monstache v2.5
64-bit Linux binary built with go1.7.4
- add option to speed up writes when saving resume state
- remove extra buffering when adding file content
md5
b0ac4ce015f274ea04344c640f4f2be7 monstache
sha256
23035be52cfeb8f2f86cb618d514bdcacdbf0c744e85fd48f9fdfb928696ec75 monstache
monstache v2.4
monstache v2.3
64-bit Linux binary built with go1.7.3
- Added configuration option for max file size
- Added code to normalize index and type names based on restrictions in ElasticSearch
- Performance improvements for GridFs files
md5
1dac389996ea159f20b2415536c38062 monstache
sha256
73ea1d1f23645a9c877c8281945d7a0ba06083c28a489aa6cda3488d812a0956 monstache
monstache v2.2
64-bit Linux binary built with go1.7.3
- Added configuration option for dropped databases and dropped collections. See the README for more
information.
md5
04d22d323538e8f1694f0cb6eeef7ac7 monstache
sha256
d681a83dffac91389a10ddbd33678b69f95070585d7e0659f12fe0b048fafb78 monstache
monstache v2.1
64-bit Linux binary built with go1.7.3
- Added support for dropped databases and collections. Now when you drop a database or collection from
mongodb the corresponding indexes are deleted in elasticsearch.
md5
e2ebb7a486a0df9dd23cb6d77c3378d0 monstache
sha256
72ba7605f275d464120486257c5226e0563d5e11d2add362dd88a7f97bdc5983 monstache
monstache v2.0
64-bit Linux binary built with go1.7.3
- Fixes an issue with the default mapping between mongodb and elasticsearch. Previously, each database
in mongodb was mapped to an index of the same name in elasticsearch. This creates a problem because
mongodb document ids are only guaranteed unique at the collection level. If there are 2 or more documents
in a mongodb database with the same id those documents were previously written to the same elasticsearch index.
This fix changes the default mapping such that the entire mongodb document namespace (database + collection)
is mapped to the destination index in elasticsearch. This prevents the possibility of collisions within
an index. Since this change requires reindexing of previously indexed data using monstache, the version
number of monstache was bumped to 2. This change also means that by default you will have an index in
elasticsearch for each mongodb collection instead of each mongod database. So more indexes by default.
You still have control to override the default mapping. See the docs for how to explicitly control the index
and type used for a particular mongodb namespace. - Bumps the go version to 1.7.3
md5
fe05e10227d4168d05055647551db5ed monstache
sha256
9ef0077ce4d4fcbca54b3c23bfacca7932d9dee959b6ed0141c520f9ed9d7941 monstache
monstache v1.3.1
64-bit Linux binary built with go1.7.1
- Version 1.3 rebuilt with go1.7.1
md5
22f5821cb44bb405430e96e04e2137bf monstache
sha256
cdfc97c531c8544df12ea126489c21d56f42eec294331a7f95553ea261555a7c monstache
monstache v1.3
64-bit Linux binary built with go1.6.3
- Improve log messages
- Add support for the ingest-attachment plugin in elasticsearch 5
md5
44e3ed6a665ec0bdb83eb8d08ee21f35 monstache
sha256
a3f204b007f6272268b023e2b8ba9e80a080630158a6352862c953609aa7a33b monstache
monstache v1.2
64-bit Linux binary built with go1.6.2
- Improve Error Reporting and Add Config Options
md5
fd09a5135c0a51ebe898e6ebf9b07654 monstache
sha256
aa93a22ff7a23301f11d56baa858e68f8d9e07a6f13a85729361064d2149d347 monstache