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ScyllaDB release: version 1.1.3

The ScyllaDB team is pleased to announce the release of ScyllaDB 1.1.3, a bugfix release of the ScyllaDB 1.1 stable branch. Release 1.1.3, like all past and future 1.x.y releases, is backward compatible and supports rolling upgrade. All the fixes below are also included in the stable 1.2.1 release. It is recommended to migrate to the 1.2 release as soon as possible.

The following bugs have been fixed:

  • When migrating SSTables from Cassandra or a ScyllaDB deployment with a different number of shards (cores), some SSTables are shared between more than one shard. This proved to be wasteful #1314. ScyllaDB now splits SSTables between shards after startup.
  • A node running out of disk space did not gracefully shutdown and did not notify the cluster it is not available #1353, #1311
  • nodetool refresh did not invalidate the cache, causing some reads to ignore the new loaded data #1212
  • Reads concurrent with table drop/truncate or ring movements might bring back stale data until node is restarted #1291

ScyllaDB contributions

Asias He (3):
      streaming: Fix indention in do_send_mutations
      streaming: Switch log level to warn instead of error
      repair: Switch log level to warn instead of error

Avi Kivity (1):
      Be more conservative when deciding when to shut down due to disk errors

Nadav Har'El (3):
      Rewrite shared sstables soon after startup
      Rewrite shared sstables only after entire CF is read
      Rewriting shared sstables only after all shards loaded sstables

Pekka Enberg (4):
      utils/exceptions: Whitelist EEXIST and ENOENT in should_stop_on_system_error()
      release: prepare for 1.1.3.rc1
      service/storage_service: Make do_isolate_on_error() more robust
      release: prepare for 1.1.3

Raphael S. Carvalho (1):
      db: fix read consistency after refresh

Tomasz Grabiec (2):
      row_cache: Implement clear() using invalidate()
      row_cache: Make stronger guarantees in clear/invalidate

About ScyllaDB Team

ScyllaDB is the world’s fastest wide-column store database: the functionality of Apache Cassandra with the speed of a light key/value store.