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Copy file name to clipboardExpand all lines: documentation/sphinx/source/release-notes/release-notes-700.rst
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* Added TLS support to fdbdecode for decoding mutation log files stored in blobs. `(PR #4611) <https://github.com/apple/foundationdb/pull/4611>`_
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* Added ``initial_snapshot_interval`` to fdbbackup that can specify the duration of the first inconsistent snapshot written to the backup. `(PR #4620) <https://github.com/apple/foundationdb/pull/4620>`_
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* Added ``inconsistent_snapshot_only`` to fdbbackup that ignores mutation log files and only uses range files during the restore to speedup the process. `(PR #4704) <https://github.com/apple/foundationdb/pull/4704>`_
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* Added the Testing Storage Server (TSS), which allows FoundationDB to run an "untrusted" storage engine with identical workload to the current storage engine, with zero impact on durability or correctness, and minimal impact on performance. `(Documentation) <https://github.com/apple/foundationdb/blob/master/documentation/sphinx/source/tss.rst>`_ `(PR #4556) <https://github.com/apple/foundationdb/pull/4556>`_
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* Added the Testing Storage Server (TSS), which allows FoundationDB to run an "untrusted" storage engine with identical workload to the current storage engine, with zero impact on durability or correctness, and minimal impact on performance. `(Documentation) <https://github.com/apple/foundationdb/blob/main/documentation/sphinx/source/tss.rst>`_ `(PR #4556) <https://github.com/apple/foundationdb/pull/4556>`_
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* Added perpetual storage wiggle that supports less impactful B-trees recreation and data migration. These will also be used for deploying the Testing Storage Server which compares 2 storage engines' results. See :ref:`Documentation <perpetual-storage-wiggle>` for details. `(PR #4838) <https://github.com/apple/foundationdb/pull/4838>`_
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* Improved the efficiency with which storage servers replicate data between themselves. `(PR #5017) <https://github.com/apple/foundationdb/pull/5017>`_
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* Added support to ``exclude command`` to exclude based on locality match. `(PR #5113) <https://github.com/apple/foundationdb/pull/5113>`_
Copy file name to clipboardExpand all lines: documentation/sphinx/source/transaction-profiler-analyzer.rst
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There are many ways that this data can be exposed for analysis. One can imagine building a client that reads the data from the database and streams it to external tools such as Wavefront.
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One such tool that’s available as part of open source FDB is a python script called ``transaction_profiling_analyzer.py`` that's available here on `GitHUb <https://github.com/apple/foundationdb/blob/master/contrib/transaction_profiling_analyzer/transaction_profiling_analyzer.py>`_. It reads the sampled data from the database and outputs it in a user friendly format. Currently it’s most useful in identifying hot key-ranges (for both reading and writing).
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One such tool that’s available as part of open source FDB is a python script called ``transaction_profiling_analyzer.py`` that's available here on `GitHUb <https://github.com/apple/foundationdb/blob/main/contrib/transaction_profiling_analyzer/transaction_profiling_analyzer.py>`_. It reads the sampled data from the database and outputs it in a user friendly format. Currently it’s most useful in identifying hot key-ranges (for both reading and writing).
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