992 lines
37 KiB
ReStructuredText
992 lines
37 KiB
ReStructuredText
Options creation
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****************
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Options object
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==============
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.. py:class:: rocksdb.Options
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.. IMPORTANT::
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The default values mentioned here, describe the values of the
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C++ library only. This wrapper does not set any default value
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itself. So as soon as the rocksdb developers change a default value
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this document could be outdated. So if you really depend on a default
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value, double check it with the according version of the C++ library.
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| Most recent default values should be here
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| https://github.com/facebook/rocksdb/blob/master/include/rocksdb/options.h
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| https://github.com/facebook/rocksdb/blob/master/util/options.cc
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.. py:method:: __init__(**kwargs)
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All options mentioned below can also be passed as keyword-arguments in
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the constructor. For example::
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import rocksdb
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opts = rocksdb.Options(create_if_missing=True)
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# is the same as
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opts = rocksdb.Options()
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opts.create_if_missing = True
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.. py:attribute:: create_if_missing
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If ``True``, the database will be created if it is missing.
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| *Type:* ``bool``
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| *Default:* ``False``
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.. py:attribute:: error_if_exists
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If ``True``, an error is raised if the database already exists.
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| *Type:* ``bool``
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| *Default:* ``False``
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.. py:attribute:: paranoid_checks
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If ``True``, the implementation will do aggressive checking of the
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data it is processing and will stop early if it detects any
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errors. This may have unforeseen ramifications: for example, a
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corruption of one DB entry may cause a large number of entries to
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become unreadable or for the entire DB to become unopenable.
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If any of the writes to the database fails (Put, Delete, Merge, Write),
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the database will switch to read-only mode and fail all other
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Write operations.
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| *Type:* ``bool``
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| *Default:* ``True``
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.. py:attribute:: write_buffer_size
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Amount of data to build up in memory (backed by an unsorted log
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on disk) before converting to a sorted on-disk file.
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Larger values increase performance, especially during bulk loads.
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Up to max_write_buffer_number write buffers may be held in memory
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at the same time, so you may wish to adjust this parameter to control
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memory usage. Also, a larger write buffer will result in a longer recovery
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time the next time the database is opened.
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| *Type:* ``int``
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| *Default:* ``4194304``
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.. py:attribute:: max_write_buffer_number
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The maximum number of write buffers that are built up in memory.
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The default is 2, so that when 1 write buffer is being flushed to
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storage, new writes can continue to the other write buffer.
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| *Type:* ``int``
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| *Default:* ``2``
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.. py:attribute:: min_write_buffer_number_to_merge
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The minimum number of write buffers that will be merged together
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before writing to storage. If set to 1, then
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all write buffers are fushed to L0 as individual files and this increases
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read amplification because a get request has to check in all of these
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files. Also, an in-memory merge may result in writing lesser
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data to storage if there are duplicate records in each of these
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individual write buffers.
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| *Type:* ``int``
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| *Default:* ``1``
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.. py:attribute:: max_open_files
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Number of open files that can be used by the DB. You may need to
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increase this if your database has a large working set. Value -1 means
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files opened are always kept open. You can estimate number of
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files based on target_file_size_base and target_file_size_multiplier
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for level-based compaction.
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For universal-style compaction, you can usually set it to -1.
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| *Type:* ``int``
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| *Default:* ``5000``
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.. py:attribute:: compression
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Compress blocks using the specified compression algorithm.
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This parameter can be changed dynamically.
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| *Type:* Member of :py:class:`rocksdb.CompressionType`
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| *Default:* :py:attr:`rocksdb.CompressionType.snappy_compression`
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.. py:attribute:: num_levels
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Number of levels for this database
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| *Type:* ``int``
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| *Default:* ``7``
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.. py:attribute:: level0_file_num_compaction_trigger
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Number of files to trigger level-0 compaction. A value <0 means that
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level-0 compaction will not be triggered by number of files at all.
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| *Type:* ``int``
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| *Default:* ``4``
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.. py:attribute:: level0_slowdown_writes_trigger
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Soft limit on number of level-0 files. We start slowing down writes at this
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point. A value <0 means that no writing slow down will be triggered by
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number of files in level-0.
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| *Type:* ``int``
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| *Default:* ``20``
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.. py:attribute:: level0_stop_writes_trigger
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Maximum number of level-0 files. We stop writes at this point.
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| *Type:* ``int``
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| *Default:* ``24``
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.. py:attribute:: max_mem_compaction_level
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Maximum level to which a new compacted memtable is pushed if it
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does not create overlap. We try to push to level 2 to avoid the
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relatively expensive level 0=>1 compactions and to avoid some
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expensive manifest file operations. We do not push all the way to
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the largest level since that can generate a lot of wasted disk
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space if the same key space is being repeatedly overwritten.
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| *Type:* ``int``
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| *Default:* ``2``
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.. py:attribute:: target_file_size_base
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| Target file size for compaction.
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| target_file_size_base is per-file size for level-1.
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| Target file size for level L can be calculated by
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| target_file_size_base * (target_file_size_multiplier ^ (L-1)).
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For example, if target_file_size_base is 2MB and
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target_file_size_multiplier is 10, then each file on level-1 will
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be 2MB, and each file on level 2 will be 20MB,
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and each file on level-3 will be 200MB.
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| *Type:* ``int``
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| *Default:* ``2097152``
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.. py:attribute:: target_file_size_multiplier
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| by default target_file_size_multiplier is 1, which means
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| by default files in different levels will have similar size.
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| *Type:* ``int``
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| *Default:* ``1``
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.. py:attribute:: max_bytes_for_level_base
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Control maximum total data size for a level.
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*max_bytes_for_level_base* is the max total for level-1.
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Maximum number of bytes for level L can be calculated as
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(*max_bytes_for_level_base*) * (*max_bytes_for_level_multiplier* ^ (L-1))
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For example, if *max_bytes_for_level_base* is 20MB, and if
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*max_bytes_for_level_multiplier* is 10, total data size for level-1
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will be 20MB, total file size for level-2 will be 200MB,
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and total file size for level-3 will be 2GB.
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| *Type:* ``int``
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| *Default:* ``10485760``
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.. py:attribute:: max_bytes_for_level_multiplier
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See :py:attr:`max_bytes_for_level_base`
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| *Type:* ``int``
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| *Default:* ``10``
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.. py:attribute:: max_bytes_for_level_multiplier_additional
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Different max-size multipliers for different levels.
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These are multiplied by max_bytes_for_level_multiplier to arrive
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at the max-size of each level.
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| *Type:* ``[int]``
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| *Default:* ``[1, 1, 1, 1, 1, 1, 1]``
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.. py:attribute:: expanded_compaction_factor
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Maximum number of bytes in all compacted files. We avoid expanding
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the lower level file set of a compaction if it would make the
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total compaction cover more than
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(expanded_compaction_factor * targetFileSizeLevel()) many bytes.
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| *Type:* ``int``
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| *Default:* ``25``
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.. py:attribute:: source_compaction_factor
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Maximum number of bytes in all source files to be compacted in a
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single compaction run. We avoid picking too many files in the
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source level so that we do not exceed the total source bytes
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for compaction to exceed
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(source_compaction_factor * targetFileSizeLevel()) many bytes.
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If 1 pick maxfilesize amount of data as the source of
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a compaction.
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| *Type:* ``int``
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| *Default:* ``1``
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.. py:attribute:: max_grandparent_overlap_factor
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Control maximum bytes of overlaps in grandparent (i.e., level+2) before we
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stop building a single file in a level->level+1 compaction.
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| *Type:* ``int``
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| *Default:* ``10``
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.. py:attribute:: disable_data_sync
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If true, then the contents of data files are not synced
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to stable storage. Their contents remain in the OS buffers till the
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OS decides to flush them. This option is good for bulk-loading
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of data. Once the bulk-loading is complete, please issue a
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sync to the OS to flush all dirty buffesrs to stable storage.
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| *Type:* ``bool``
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| *Default:* ``False``
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.. py:attribute:: use_fsync
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If true, then every store to stable storage will issue a fsync.
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If false, then every store to stable storage will issue a fdatasync.
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This parameter should be set to true while storing data to
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filesystem like ext3 that can lose files after a reboot.
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| *Type:* ``bool``
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| *Default:* ``False``
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.. py:attribute:: db_log_dir
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This specifies the info LOG dir.
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If it is empty, the log files will be in the same dir as data.
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If it is non empty, the log files will be in the specified dir,
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and the db data dir's absolute path will be used as the log file
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name's prefix.
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| *Type:* ``unicode``
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| *Default:* ``""``
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.. py:attribute:: wal_dir
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This specifies the absolute dir path for write-ahead logs (WAL).
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If it is empty, the log files will be in the same dir as data,
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dbname is used as the data dir by default.
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If it is non empty, the log files will be in kept the specified dir.
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When destroying the db, all log files in wal_dir and the dir itself is deleted
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| *Type:* ``unicode``
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| *Default:* ``""``
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.. py:attribute:: delete_obsolete_files_period_micros
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The periodicity when obsolete files get deleted. The default
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value is 6 hours. The files that get out of scope by compaction
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process will still get automatically delete on every compaction,
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regardless of this setting
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| *Type:* ``int``
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| *Default:* ``21600000000``
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.. py:attribute:: max_background_compactions
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Maximum number of concurrent background jobs, submitted to
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the default LOW priority thread pool
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| *Type:* ``int``
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| *Default:* ``1``
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.. py:attribute:: max_background_flushes
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Maximum number of concurrent background memtable flush jobs, submitted to
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the HIGH priority thread pool.
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By default, all background jobs (major compaction and memtable flush) go
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to the LOW priority pool. If this option is set to a positive number,
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memtable flush jobs will be submitted to the HIGH priority pool.
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It is important when the same Env is shared by multiple db instances.
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Without a separate pool, long running major compaction jobs could
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potentially block memtable flush jobs of other db instances, leading to
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unnecessary Put stalls.
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| *Type:* ``int``
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| *Default:* ``1``
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.. py:attribute:: max_log_file_size
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Specify the maximal size of the info log file. If the log file
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is larger than `max_log_file_size`, a new info log file will
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be created.
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If max_log_file_size == 0, all logs will be written to one
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log file.
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| *Type:* ``int``
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| *Default:* ``0``
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.. py:attribute:: log_file_time_to_roll
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Time for the info log file to roll (in seconds).
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If specified with non-zero value, log file will be rolled
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if it has been active longer than `log_file_time_to_roll`.
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A value of ``0`` means disabled.
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| *Type:* ``int``
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| *Default:* ``0``
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.. py:attribute:: keep_log_file_num
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Maximal info log files to be kept.
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| *Type:* ``int``
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| *Default:* ``1000``
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.. py:attribute:: soft_rate_limit
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Puts are delayed 0-1 ms when any level has a compaction score that exceeds
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soft_rate_limit. This is ignored when == 0.0.
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CONSTRAINT: soft_rate_limit <= hard_rate_limit. If this constraint does not
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hold, RocksDB will set soft_rate_limit = hard_rate_limit.
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A value of ``0`` means disabled.
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| *Type:* ``float``
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| *Default:* ``0``
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.. py:attribute:: hard_rate_limit
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Puts are delayed 1ms at a time when any level has a compaction score that
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exceeds hard_rate_limit. This is ignored when <= 1.0.
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A value fo ``0`` means disabled.
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| *Type:* ``float``
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| *Default:* ``0``
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.. py:attribute:: rate_limit_delay_max_milliseconds
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Max time a put will be stalled when hard_rate_limit is enforced. If 0, then
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there is no limit.
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| *Type:* ``int``
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| *Default:* ``1000``
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.. py:attribute:: max_manifest_file_size
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manifest file is rolled over on reaching this limit.
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The older manifest file be deleted.
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The default value is MAX_INT so that roll-over does not take place.
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| *Type:* ``int``
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| *Default:* ``(2**64) - 1``
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.. py:attribute:: table_cache_numshardbits
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Number of shards used for table cache.
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| *Type:* ``int``
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| *Default:* ``4``
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.. py:attribute:: arena_block_size
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size of one block in arena memory allocation.
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If <= 0, a proper value is automatically calculated (usually 1/10 of
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writer_buffer_size).
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| *Type:* ``int``
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| *Default:* ``0``
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.. py:attribute:: disable_auto_compactions
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Disable automatic compactions. Manual compactions can still
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be issued on this database.
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| *Type:* ``bool``
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| *Default:* ``False``
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.. py:attribute:: wal_ttl_seconds, wal_size_limit_mb
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The following two fields affect how archived logs will be deleted.
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1. If both set to 0, logs will be deleted asap and will not get into
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the archive.
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2. If wal_ttl_seconds is 0 and wal_size_limit_mb is not 0,
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WAL files will be checked every 10 min and if total size is greater
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then wal_size_limit_mb, they will be deleted starting with the
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earliest until size_limit is met. All empty files will be deleted.
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3. If wal_ttl_seconds is not 0 and wal_size_limit_mb is 0, then
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WAL files will be checked every wal_ttl_secondsi / 2 and those that
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are older than wal_ttl_seconds will be deleted.
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4. If both are not 0, WAL files will be checked every 10 min and both
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checks will be performed with ttl being first.
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| *Type:* ``int``
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| *Default:* ``0``
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.. py:attribute:: manifest_preallocation_size
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Number of bytes to preallocate (via fallocate) the manifest
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files. Default is 4mb, which is reasonable to reduce random IO
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as well as prevent overallocation for mounts that preallocate
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large amounts of data (such as xfs's allocsize option).
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| *Type:* ``int``
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| *Default:* ``4194304``
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.. py:attribute:: purge_redundant_kvs_while_flush
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Purge duplicate/deleted keys when a memtable is flushed to storage.
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| *Type:* ``bool``
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| *Default:* ``True``
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.. py:attribute:: allow_os_buffer
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Data being read from file storage may be buffered in the OS
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| *Type:* ``bool``
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| *Default:* ``True``
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.. py:attribute:: allow_mmap_reads
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Allow the OS to mmap file for reading sst tables
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| *Type:* ``bool``
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| *Default:* ``True``
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.. py:attribute:: allow_mmap_writes
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Allow the OS to mmap file for writing
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| *Type:* ``bool``
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| *Default:* ``False``
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.. py:attribute:: is_fd_close_on_exec
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Disable child process inherit open files
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| *Type:* ``bool``
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| *Default:* ``True``
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.. py:attribute:: skip_log_error_on_recovery
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Skip log corruption error on recovery
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(If client is ok with losing most recent changes)
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| *Type:* ``bool``
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| *Default:* ``False``
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.. py:attribute:: stats_dump_period_sec
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If not zero, dump rocksdb.stats to LOG every stats_dump_period_sec
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| *Type:* ``int``
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| *Default:* ``3600``
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.. py:attribute:: advise_random_on_open
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If set true, will hint the underlying file system that the file
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access pattern is random, when a sst file is opened.
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| *Type:* ``bool``
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| *Default:* ``True``
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.. py:attribute:: use_adaptive_mutex
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Use adaptive mutex, which spins in the user space before resorting
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to kernel. This could reduce context switch when the mutex is not
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heavily contended. However, if the mutex is hot, we could end up
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wasting spin time.
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| *Type:* ``bool``
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| *Default:* ``False``
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.. py:attribute:: bytes_per_sync
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Allows OS to incrementally sync files to disk while they are being
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written, asynchronously, in the background.
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Issue one request for every bytes_per_sync written. 0 turns it off.
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| *Type:* ``int``
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| *Default:* ``0``
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.. py:attribute:: verify_checksums_in_compaction
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If ``True``, compaction will verify checksum on every read that
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happens as part of compaction.
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| *Type:* ``bool``
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| *Default:* ``True``
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.. py:attribute:: compaction_style
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The compaction style. Could be set to ``"level"`` to use level-style
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compaction. For universal-style compaction use ``"universal"``.
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| *Type:* ``string``
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| *Default:* ``level``
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.. py:attribute:: compaction_options_universal
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Options to use for universal-style compaction. They make only sense if
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:py:attr:`rocksdb.Options.compaction_style` is set to ``"universal"``.
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It is a dict with the following keys.
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* ``size_ratio``:
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Percentage flexibilty while comparing file size.
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If the candidate file(s) size is 1% smaller than the next file's size,
|
|
then include next file into this candidate set.
|
|
Default: ``1``
|
|
|
|
* ``min_merge_width``:
|
|
The minimum number of files in a single compaction run.
|
|
Default: ``2``
|
|
|
|
* ``max_merge_width``:
|
|
The maximum number of files in a single compaction run.
|
|
Default: ``UINT_MAX``
|
|
|
|
* ``max_size_amplification_percent``:
|
|
The size amplification is defined as the amount (in percentage) of
|
|
additional storage needed to store a single byte of data in the database.
|
|
For example, a size amplification of 2% means that a database that
|
|
contains 100 bytes of user-data may occupy upto 102 bytes of
|
|
physical storage. By this definition, a fully compacted database has
|
|
a size amplification of 0%. Rocksdb uses the following heuristic
|
|
to calculate size amplification: it assumes that all files excluding
|
|
the earliest file contribute to the size amplification.
|
|
Default: ``200``, which means that a 100 byte database could require upto
|
|
300 bytes of storage.
|
|
|
|
* ``compression_size_percent``:
|
|
If this option is set to be -1 (the default value), all the output
|
|
files will follow compression type specified.
|
|
|
|
If this option is not negative, we will try to make sure compressed
|
|
size is just above this value. In normal cases, at least this
|
|
percentage of data will be compressed.
|
|
|
|
When we are compacting to a new file, here is the criteria whether
|
|
it needs to be compressed: assuming here are the list of files sorted
|
|
by generation time: ``A1...An B1...Bm C1...Ct``
|
|
where ``A1`` is the newest and ``Ct`` is the oldest, and we are going
|
|
to compact ``B1...Bm``, we calculate the total size of all the files
|
|
as total_size, as well as the total size of ``C1...Ct`` as
|
|
``total_C``, the compaction output file will be compressed if
|
|
``total_C / total_size < this percentage``.
|
|
Default: -1
|
|
|
|
* ``stop_style``:
|
|
The algorithm used to stop picking files into a single compaction.
|
|
Can be either ``"similar_size"`` or ``"total_size"``.
|
|
|
|
* ``similar_size``: Pick files of similar size.
|
|
* ``total_size``: Total size of picked files is greater than next file.
|
|
|
|
Default: ``"total_size"``
|
|
|
|
For setting options, just assign a dict with the fields to set.
|
|
It is allowed to omit keys in this dict. Missing keys are just not set
|
|
to the underlying options object.
|
|
|
|
This example just changes the stop_style and leaves the other options
|
|
untouched. ::
|
|
|
|
opts = rocksdb.Options()
|
|
opts.compaction_options_universal = {'stop_style': 'similar_size'}
|
|
|
|
.. py:attribute:: filter_deletes
|
|
|
|
Use KeyMayExist API to filter deletes when this is true.
|
|
If KeyMayExist returns false, i.e. the key definitely does not exist, then
|
|
the delete is a noop. KeyMayExist only incurs in-memory look up.
|
|
This optimization avoids writing the delete to storage when appropriate.
|
|
|
|
| *Type:* ``bool``
|
|
| *Default:* ``False``
|
|
|
|
.. py:attribute:: max_sequential_skip_in_iterations
|
|
|
|
An iteration->Next() sequentially skips over keys with the same
|
|
user-key unless this option is set. This number specifies the number
|
|
of keys (with the same userkey) that will be sequentially
|
|
skipped before a reseek is issued.
|
|
|
|
| *Type:* ``int``
|
|
| *Default:* ``8``
|
|
|
|
.. py:attribute:: memtable_factory
|
|
|
|
This is a factory that provides MemTableRep objects.
|
|
Right now you can assing instances of the following classes.
|
|
|
|
* :py:class:`rocksdb.VectorMemtableFactory`
|
|
* :py:class:`rocksdb.SkipListMemtableFactory`
|
|
* :py:class:`rocksdb.HashSkipListMemtableFactory`
|
|
* :py:class:`rocksdb.HashLinkListMemtableFactory`
|
|
|
|
*Default:* :py:class:`rocksdb.SkipListMemtableFactory`
|
|
|
|
.. py:attribute:: table_factory
|
|
|
|
Factory for the files forming the persisten data storage.
|
|
Sometimes they are also named SST-Files. Right now you can assign
|
|
instances of the following classes.
|
|
|
|
* :py:class:`rocksdb.BlockBasedTableFactory`
|
|
* :py:class:`rocksdb.PlainTableFactory`
|
|
* :py:class:`rocksdb.TotalOrderPlainTableFactory`
|
|
|
|
*Default:* :py:class:`rocksdb.BlockBasedTableFactory`
|
|
|
|
.. py:attribute:: inplace_update_support
|
|
|
|
Allows thread-safe inplace updates. Requires Updates if
|
|
|
|
* key exists in current memtable
|
|
* new sizeof(new_value) <= sizeof(old_value)
|
|
* old_value for that key is a put i.e. kTypeValue
|
|
|
|
| *Type:* ``bool``
|
|
| *Default:* ``False``
|
|
|
|
.. py:attribute:: inplace_update_num_locks
|
|
|
|
| Number of locks used for inplace update.
|
|
| Default: 10000, if inplace_update_support = true, else 0.
|
|
|
|
| *Type:* ``int``
|
|
| *Default:* ``10000``
|
|
|
|
.. py:attribute:: comparator
|
|
|
|
Comparator used to define the order of keys in the table.
|
|
A python comparator must implement the :py:class:`rocksdb.interfaces.Comparator`
|
|
interface.
|
|
|
|
*Requires*: The client must ensure that the comparator supplied
|
|
here has the same name and orders keys *exactly* the same as the
|
|
comparator provided to previous open calls on the same DB.
|
|
|
|
*Default:* :py:class:`rocksdb.BytewiseComparator`
|
|
|
|
.. py:attribute:: merge_operator
|
|
|
|
The client must provide a merge operator if Merge operation
|
|
needs to be accessed. Calling Merge on a DB without a merge operator
|
|
would result in :py:exc:`rocksdb.errors.NotSupported`. The client must
|
|
ensure that the merge operator supplied here has the same name and
|
|
*exactly* the same semantics as the merge operator provided to
|
|
previous open calls on the same DB. The only exception is reserved
|
|
for upgrade, where a DB previously without a merge operator is
|
|
introduced to Merge operation for the first time. It's necessary to
|
|
specify a merge operator when openning the DB in this case.
|
|
|
|
A python merge operator must implement the
|
|
:py:class:`rocksdb.interfaces.MergeOperator` or
|
|
:py:class:`rocksdb.interfaces.AssociativeMergeOperator`
|
|
interface.
|
|
|
|
*Default:* ``None``
|
|
|
|
.. py:attribute:: prefix_extractor
|
|
|
|
If not ``None``, use the specified function to determine the
|
|
prefixes for keys. These prefixes will be placed in the filter.
|
|
Depending on the workload, this can reduce the number of read-IOP
|
|
cost for scans when a prefix is passed to the calls generating an
|
|
iterator (:py:meth:`rocksdb.DB.iterkeys` ...).
|
|
|
|
A python prefix_extractor must implement the
|
|
:py:class:`rocksdb.interfaces.SliceTransform` interface
|
|
|
|
For prefix filtering to work properly, "prefix_extractor" and "comparator"
|
|
must be such that the following properties hold:
|
|
|
|
1. ``key.starts_with(prefix(key))``
|
|
2. ``compare(prefix(key), key) <= 0``
|
|
3. ``If compare(k1, k2) <= 0, then compare(prefix(k1), prefix(k2)) <= 0``
|
|
4. ``prefix(prefix(key)) == prefix(key)``
|
|
|
|
*Default:* ``None``
|
|
|
|
|
|
CompressionTypes
|
|
================
|
|
|
|
.. py:class:: rocksdb.CompressionType
|
|
|
|
Defines the support compression types
|
|
|
|
.. py:attribute:: no_compression
|
|
.. py:attribute:: snappy_compression
|
|
.. py:attribute:: zlib_compression
|
|
.. py:attribute:: bzip2_compression
|
|
.. py:attribute:: lz4_compression
|
|
.. py:attribute:: lz4hc_compression
|
|
|
|
BytewiseComparator
|
|
==================
|
|
|
|
.. py:class:: rocksdb.BytewiseComparator
|
|
|
|
Wraps the rocksdb Bytewise Comparator, it uses lexicographic byte-wise
|
|
ordering
|
|
|
|
BloomFilterPolicy
|
|
=================
|
|
|
|
.. py:class:: rocksdb.BloomFilterPolicy
|
|
|
|
Wraps the rocksdb BloomFilter Policy
|
|
|
|
.. py:method:: __init__(bits_per_key)
|
|
|
|
:param int bits_per_key:
|
|
Specifies the approximately number of bits per key.
|
|
A good value for bits_per_key is 10, which yields a filter with
|
|
~ 1% false positive rate.
|
|
|
|
|
|
LRUCache
|
|
========
|
|
|
|
.. py:class:: rocksdb.LRUCache
|
|
|
|
Wraps the rocksdb LRUCache
|
|
|
|
.. py:method:: __init__(capacity, shard_bits=None)
|
|
|
|
Create a new cache with a fixed size capacity. The cache is sharded
|
|
to 2^numShardBits shards, by hash of the key. The total capacity
|
|
is divided and evenly assigned to each shard.
|
|
|
|
.. _table_factories_label:
|
|
|
|
TableFactories
|
|
==============
|
|
|
|
Currently RocksDB supports two types of tables: plain table and block-based table.
|
|
Instances of this classes can assigned to :py:attr:`rocksdb.Options.table_factory`
|
|
|
|
* *Block-based table:* This is the default table type that RocksDB inherited from
|
|
LevelDB. It was designed for storing data in hard disk or flash device.
|
|
|
|
* *Plain table:* It is one of RocksDB's SST file format optimized
|
|
for low query latency on pure-memory or really low-latency media.
|
|
|
|
Tutorial of rocksdb table formats is available here:
|
|
https://github.com/facebook/rocksdb/wiki/A-Tutorial-of-RocksDB-SST-formats
|
|
|
|
.. py:class:: rocksdb.BlockBasedTableFactory
|
|
|
|
Wraps BlockBasedTableFactory of RocksDB.
|
|
|
|
.. py:method:: __init__(index_type='binary_search', hash_index_allow_collision=True, checksum='crc32', block_cache, block_cache_compressed, filter_policy=None, no_block_cache=False, block_size=None, block_size_deviation=None, block_restart_interval=None, whole_key_filtering=None):
|
|
|
|
|
|
:param string index_type:
|
|
* ``binary_search`` a space efficient index block that is optimized
|
|
for binary-search-based index.
|
|
* ``hash_search`` the hash index. If enabled, will do hash lookup
|
|
when `Options.prefix_extractor` is provided.
|
|
|
|
:param bool hash_index_allow_collision:
|
|
Influence the behavior when ``hash_search`` is used.
|
|
If ``False``, stores a precise prefix to block range mapping.
|
|
If ``True``, does not store prefix and allows prefix hash collision
|
|
(less memory consumption)
|
|
|
|
:param string checksum:
|
|
Use the specified checksum type. Newly created table files will be
|
|
protected with this checksum type. Old table files will still be readable,
|
|
even though they have different checksum type.
|
|
Can be either ``crc32`` or ``xxhash``.
|
|
|
|
:param block_cache:
|
|
Control over blocks (user data is stored in a set of blocks, and
|
|
a block is the unit of reading from disk).
|
|
|
|
If ``None``, rocksdb will automatically create and use an 8MB internal cache.
|
|
If not ``None`` use the specified cache for blocks. In that case it must
|
|
be an instance of :py:class:`rocksdb.LRUCache`
|
|
|
|
:param block_cache_compressed:
|
|
If ``None``, rocksdb will not use a compressed block cache.
|
|
If not ``None`` use the specified cache for compressed blocks. In that
|
|
case it must be an instance of :py:class:`rocksdb.LRUCache`
|
|
|
|
:param filter_policy:
|
|
If not ``None`` use the specified filter policy to reduce disk reads.
|
|
A python filter policy must implement the
|
|
:py:class:`rocksdb.interfaces.FilterPolicy` interface.
|
|
Recommended is a instance of :py:class:`rocksdb.BloomFilterPolicy`
|
|
|
|
:param bool no_block_cache:
|
|
Disable block cache. If this is set to true,
|
|
then no block cache should be used, and the block_cache should
|
|
point to ``None``
|
|
|
|
:param int block_size:
|
|
If set to ``None`` the rocksdb default of ``4096`` is used.
|
|
Approximate size of user data packed per block. Note that the
|
|
block size specified here corresponds to uncompressed data. The
|
|
actual size of the unit read from disk may be smaller if
|
|
compression is enabled. This parameter can be changed dynamically.
|
|
|
|
:param int block_size_deviation:
|
|
If set to ``None`` the rocksdb default of ``10`` is used.
|
|
This is used to close a block before it reaches the configured
|
|
'block_size'. If the percentage of free space in the current block is less
|
|
than this specified number and adding a new record to the block will
|
|
exceed the configured block size, then this block will be closed and the
|
|
new record will be written to the next block.
|
|
|
|
:param int block_restart_interval:
|
|
If set to ``None`` the rocksdb default of ``16`` is used.
|
|
Number of keys between restart points for delta encoding of keys.
|
|
This parameter can be changed dynamically. Most clients should
|
|
leave this parameter alone.
|
|
|
|
:param bool whole_key_filtering:
|
|
If set to ``None`` the rocksdb default of ``True`` is used.
|
|
If ``True``, place whole keys in the filter (not just prefixes).
|
|
This must generally be true for gets to be efficient.
|
|
|
|
.. py:class:: rocksdb.PlainTableFactory
|
|
|
|
Plain Table with prefix-only seek. It wraps rocksdb PlainTableFactory.
|
|
|
|
For this factory, you need to set :py:attr:`rocksdb.Options.prefix_extractor`
|
|
properly to make it work. Look-up will start with prefix hash lookup for
|
|
key prefix. Inside the hash bucket found, a binary search is executed for
|
|
hash conflicts. Finally, a linear search is used.
|
|
|
|
.. py:method:: __init__(user_key_len=0, bloom_bits_per_key=10, hash_table_ratio=0.75, index_sparseness=10, huge_page_tlb_size=0, encoding_type='plain', full_scan_mode=False, store_index_in_file=False)
|
|
|
|
:param int user_key_len:
|
|
Plain table has optimization for fix-sized keys, which can be
|
|
specified via user_key_len.
|
|
Alternatively, you can pass `0` if your keys have variable lengths.
|
|
|
|
:param int bloom_bits_per_key:
|
|
The number of bits used for bloom filer per prefix.
|
|
You may disable it by passing `0`.
|
|
|
|
:param float hash_table_ratio:
|
|
The desired utilization of the hash table used for prefix hashing.
|
|
hash_table_ratio = number of prefixes / #buckets in the hash table.
|
|
|
|
:param int index_sparseness:
|
|
Inside each prefix, need to build one index record for how
|
|
many keys for binary search inside each hash bucket.
|
|
For encoding type ``prefix``, the value will be used when
|
|
writing to determine an interval to rewrite the full key.
|
|
It will also be used as a suggestion and satisfied when possible.
|
|
|
|
:param int huge_page_tlb_size:
|
|
If <=0, allocate hash indexes and blooms from malloc.
|
|
Otherwise from huge page TLB.
|
|
The user needs to reserve huge pages for it to be allocated, like:
|
|
``sysctl -w vm.nr_hugepages=20``
|
|
See linux doc Documentation/vm/hugetlbpage.txt
|
|
|
|
:param string encoding_type:
|
|
How to encode the keys. The value will determine how to encode keys
|
|
when writing to a new SST file. This value will be stored
|
|
inside the SST file which will be used when reading from the
|
|
file, which makes it possible for users to choose different
|
|
encoding type when reopening a DB. Files with different
|
|
encoding types can co-exist in the same DB and can be read.
|
|
|
|
* ``plain``: Always write full keys without any special encoding.
|
|
* ``prefix``: Find opportunity to write the same prefix once for multiple rows.
|
|
In some cases, when a key follows a previous key with the same prefix,
|
|
instead of writing out the full key, it just writes out the size of the
|
|
shared prefix, as well as other bytes, to save some bytes.
|
|
|
|
When using this option, the user is required to use the same prefix
|
|
extractor to make sure the same prefix will be extracted from the same key.
|
|
The Name() value of the prefix extractor will be stored in the file.
|
|
When reopening the file, the name of the options.prefix_extractor given
|
|
will be bitwise compared to the prefix extractors stored in the file.
|
|
An error will be returned if the two don't match.
|
|
|
|
:param bool full_scan_mode:
|
|
Mode for reading the whole file one record by one without using the index.
|
|
|
|
:param bool store_index_in_file:
|
|
Compute plain table index and bloom filter during file building
|
|
and store it in file. When reading file, index will be mmaped
|
|
instead of recomputation.
|
|
|
|
.. _memtable_factories_label:
|
|
|
|
MemtableFactories
|
|
=================
|
|
|
|
RocksDB has different classes to represent the in-memory buffer for the current
|
|
operations. You have to assing instances of the following classes to
|
|
:py:attr:`rocksdb.Options.memtable_factory`.
|
|
This page has a comparison the most popular ones.
|
|
https://github.com/facebook/rocksdb/wiki/Hash-based-memtable-implementations
|
|
|
|
.. py:class:: rocksdb.VectorMemtableFactory
|
|
|
|
This creates MemTableReps that are backed by an std::vector.
|
|
On iteration, the vector is sorted. This is useful for workloads where
|
|
iteration is very rare and writes are generally not issued after reads begin.
|
|
|
|
.. py:method:: __init__(count=0)
|
|
|
|
:param int count:
|
|
Passed to the constructor of the underlying std::vector of each
|
|
VectorRep. On initialization, the underlying array will be at
|
|
least count bytes reserved for usage.
|
|
|
|
.. py:class:: rocksdb.SkipListMemtableFactory
|
|
|
|
This uses a skip list to store keys.
|
|
|
|
.. py:method:: __init__()
|
|
|
|
.. py:class:: rocksdb.HashSkipListMemtableFactory
|
|
|
|
This class contains a fixed array of buckets, each pointing
|
|
to a skiplist (null if the bucket is empty).
|
|
|
|
.. note::
|
|
|
|
:py:attr:`rocksdb.Options.prefix_extractor` must be set, otherwise
|
|
rocksdb fails back to skip-list.
|
|
|
|
.. py:method:: __init__(bucket_count = 1000000, skiplist_height = 4, skiplist_branching_factor = 4)
|
|
|
|
:param int bucket_count: number of fixed array buckets
|
|
:param int skiplist_height: the max height of the skiplist
|
|
:param int skiplist_branching_factor:
|
|
probabilistic size ratio between adjacent link lists in the skiplist
|
|
|
|
.. py:class:: rocksdb.HashLinkListMemtableFactory
|
|
|
|
The factory is to create memtables with a hashed linked list.
|
|
It contains a fixed array of buckets, each pointing to a sorted single
|
|
linked list (null if the bucket is empty).
|
|
|
|
.. note::
|
|
|
|
:py:attr:`rocksdb.Options.prefix_extractor` must be set, otherwise
|
|
rocksdb fails back to skip-list.
|
|
|
|
|
|
.. py:method:: __init__(bucket_count=50000)
|
|
|
|
:param int bucket: number of fixed array buckets
|