lbry-rocksdb/docs/api/options.rst
2017-04-17 00:01:19 +08:00

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Options creation
****************
Options object
==============
.. py:class:: rocksdb.Options
.. IMPORTANT::
The default values mentioned here, describe the values of the
C++ library only. This wrapper does not set any default value
itself. So as soon as the rocksdb developers change a default value
this document could be outdated. So if you really depend on a default
value, double check it with the according version of the C++ library.
| Most recent default values should be here
| https://github.com/facebook/rocksdb/blob/master/include/rocksdb/options.h
| https://github.com/facebook/rocksdb/blob/master/util/options.cc
.. py:method:: __init__(**kwargs)
All options mentioned below can also be passed as keyword-arguments in
the constructor. For example::
import rocksdb
opts = rocksdb.Options(create_if_missing=True)
# is the same as
opts = rocksdb.Options()
opts.create_if_missing = True
.. py:attribute:: create_if_missing
If ``True``, the database will be created if it is missing.
| *Type:* ``bool``
| *Default:* ``False``
.. py:attribute:: error_if_exists
If ``True``, an error is raised if the database already exists.
| *Type:* ``bool``
| *Default:* ``False``
.. py:attribute:: paranoid_checks
If ``True``, the implementation will do aggressive checking of the
data it is processing and will stop early if it detects any
errors. This may have unforeseen ramifications: for example, a
corruption of one DB entry may cause a large number of entries to
become unreadable or for the entire DB to become unopenable.
If any of the writes to the database fails (Put, Delete, Merge, Write),
the database will switch to read-only mode and fail all other
Write operations.
| *Type:* ``bool``
| *Default:* ``True``
.. py:attribute:: write_buffer_size
Amount of data to build up in memory (backed by an unsorted log
on disk) before converting to a sorted on-disk file.
Larger values increase performance, especially during bulk loads.
Up to max_write_buffer_number write buffers may be held in memory
at the same time, so you may wish to adjust this parameter to control
memory usage. Also, a larger write buffer will result in a longer recovery
time the next time the database is opened.
| *Type:* ``int``
| *Default:* ``4194304``
.. py:attribute:: max_write_buffer_number
The maximum number of write buffers that are built up in memory.
The default is 2, so that when 1 write buffer is being flushed to
storage, new writes can continue to the other write buffer.
| *Type:* ``int``
| *Default:* ``2``
.. py:attribute:: min_write_buffer_number_to_merge
The minimum number of write buffers that will be merged together
before writing to storage. If set to 1, then
all write buffers are fushed to L0 as individual files and this increases
read amplification because a get request has to check in all of these
files. Also, an in-memory merge may result in writing lesser
data to storage if there are duplicate records in each of these
individual write buffers.
| *Type:* ``int``
| *Default:* ``1``
.. py:attribute:: max_open_files
Number of open files that can be used by the DB. You may need to
increase this if your database has a large working set. Value -1 means
files opened are always kept open. You can estimate number of
files based on target_file_size_base and target_file_size_multiplier
for level-based compaction.
For universal-style compaction, you can usually set it to -1.
| *Type:* ``int``
| *Default:* ``5000``
.. py:attribute:: compression
Compress blocks using the specified compression algorithm.
This parameter can be changed dynamically.
| *Type:* Member of :py:class:`rocksdb.CompressionType`
| *Default:* :py:attr:`rocksdb.CompressionType.snappy_compression`
.. py:attribute:: num_levels
Number of levels for this database
| *Type:* ``int``
| *Default:* ``7``
.. py:attribute:: level0_file_num_compaction_trigger
Number of files to trigger level-0 compaction. A value <0 means that
level-0 compaction will not be triggered by number of files at all.
| *Type:* ``int``
| *Default:* ``4``
.. py:attribute:: level0_slowdown_writes_trigger
Soft limit on number of level-0 files. We start slowing down writes at this
point. A value <0 means that no writing slow down will be triggered by
number of files in level-0.
| *Type:* ``int``
| *Default:* ``20``
.. py:attribute:: level0_stop_writes_trigger
Maximum number of level-0 files. We stop writes at this point.
| *Type:* ``int``
| *Default:* ``24``
.. py:attribute:: max_mem_compaction_level
Maximum level to which a new compacted memtable is pushed if it
does not create overlap. We try to push to level 2 to avoid the
relatively expensive level 0=>1 compactions and to avoid some
expensive manifest file operations. We do not push all the way to
the largest level since that can generate a lot of wasted disk
space if the same key space is being repeatedly overwritten.
| *Type:* ``int``
| *Default:* ``2``
.. py:attribute:: target_file_size_base
| Target file size for compaction.
| target_file_size_base is per-file size for level-1.
| Target file size for level L can be calculated by
| target_file_size_base * (target_file_size_multiplier ^ (L-1)).
For example, if target_file_size_base is 2MB and
target_file_size_multiplier is 10, then each file on level-1 will
be 2MB, and each file on level 2 will be 20MB,
and each file on level-3 will be 200MB.
| *Type:* ``int``
| *Default:* ``2097152``
.. py:attribute:: target_file_size_multiplier
| by default target_file_size_multiplier is 1, which means
| by default files in different levels will have similar size.
| *Type:* ``int``
| *Default:* ``1``
.. py:attribute:: max_bytes_for_level_base
Control maximum total data size for a level.
*max_bytes_for_level_base* is the max total for level-1.
Maximum number of bytes for level L can be calculated as
(*max_bytes_for_level_base*) * (*max_bytes_for_level_multiplier* ^ (L-1))
For example, if *max_bytes_for_level_base* is 20MB, and if
*max_bytes_for_level_multiplier* is 10, total data size for level-1
will be 20MB, total file size for level-2 will be 200MB,
and total file size for level-3 will be 2GB.
| *Type:* ``int``
| *Default:* ``10485760``
.. py:attribute:: max_bytes_for_level_multiplier
See :py:attr:`max_bytes_for_level_base`
| *Type:* ``int``
| *Default:* ``10``
.. py:attribute:: max_bytes_for_level_multiplier_additional
Different max-size multipliers for different levels.
These are multiplied by max_bytes_for_level_multiplier to arrive
at the max-size of each level.
| *Type:* ``[int]``
| *Default:* ``[1, 1, 1, 1, 1, 1, 1]``
.. py:attribute:: max_compaction_bytes
We try to limit number of bytes in one compaction to be lower than this
threshold. But it's not guaranteed.
Value 0 will be sanitized.
| *Type:* ``int``
| *Default:* ``target_file_size_base * 25``
.. py:attribute:: use_fsync
If true, then every store to stable storage will issue a fsync.
If false, then every store to stable storage will issue a fdatasync.
This parameter should be set to true while storing data to
filesystem like ext3 that can lose files after a reboot.
| *Type:* ``bool``
| *Default:* ``False``
.. py:attribute:: db_log_dir
This specifies the info LOG dir.
If it is empty, the log files will be in the same dir as data.
If it is non empty, the log files will be in the specified dir,
and the db data dir's absolute path will be used as the log file
name's prefix.
| *Type:* ``unicode``
| *Default:* ``""``
.. py:attribute:: wal_dir
This specifies the absolute dir path for write-ahead logs (WAL).
If it is empty, the log files will be in the same dir as data,
dbname is used as the data dir by default.
If it is non empty, the log files will be in kept the specified dir.
When destroying the db, all log files in wal_dir and the dir itself is deleted
| *Type:* ``unicode``
| *Default:* ``""``
.. py:attribute:: delete_obsolete_files_period_micros
The periodicity when obsolete files get deleted. The default
value is 6 hours. The files that get out of scope by compaction
process will still get automatically delete on every compaction,
regardless of this setting
| *Type:* ``int``
| *Default:* ``21600000000``
.. py:attribute:: max_background_compactions
Maximum number of concurrent background jobs, submitted to
the default LOW priority thread pool
| *Type:* ``int``
| *Default:* ``1``
.. py:attribute:: max_background_flushes
Maximum number of concurrent background memtable flush jobs, submitted to
the HIGH priority thread pool.
By default, all background jobs (major compaction and memtable flush) go
to the LOW priority pool. If this option is set to a positive number,
memtable flush jobs will be submitted to the HIGH priority pool.
It is important when the same Env is shared by multiple db instances.
Without a separate pool, long running major compaction jobs could
potentially block memtable flush jobs of other db instances, leading to
unnecessary Put stalls.
| *Type:* ``int``
| *Default:* ``1``
.. py:attribute:: max_log_file_size
Specify the maximal size of the info log file. If the log file
is larger than `max_log_file_size`, a new info log file will
be created.
If max_log_file_size == 0, all logs will be written to one
log file.
| *Type:* ``int``
| *Default:* ``0``
.. py:attribute:: log_file_time_to_roll
Time for the info log file to roll (in seconds).
If specified with non-zero value, log file will be rolled
if it has been active longer than `log_file_time_to_roll`.
A value of ``0`` means disabled.
| *Type:* ``int``
| *Default:* ``0``
.. py:attribute:: keep_log_file_num
Maximal info log files to be kept.
| *Type:* ``int``
| *Default:* ``1000``
.. py:attribute:: soft_rate_limit
Puts are delayed 0-1 ms when any level has a compaction score that exceeds
soft_rate_limit. This is ignored when == 0.0.
CONSTRAINT: soft_rate_limit <= hard_rate_limit. If this constraint does not
hold, RocksDB will set soft_rate_limit = hard_rate_limit.
A value of ``0`` means disabled.
| *Type:* ``float``
| *Default:* ``0``
.. py:attribute:: hard_rate_limit
Puts are delayed 1ms at a time when any level has a compaction score that
exceeds hard_rate_limit. This is ignored when <= 1.0.
A value fo ``0`` means disabled.
| *Type:* ``float``
| *Default:* ``0``
.. py:attribute:: rate_limit_delay_max_milliseconds
Max time a put will be stalled when hard_rate_limit is enforced. If 0, then
there is no limit.
| *Type:* ``int``
| *Default:* ``1000``
.. py:attribute:: max_manifest_file_size
manifest file is rolled over on reaching this limit.
The older manifest file be deleted.
The default value is MAX_INT so that roll-over does not take place.
| *Type:* ``int``
| *Default:* ``(2**64) - 1``
.. py:attribute:: table_cache_numshardbits
Number of shards used for table cache.
| *Type:* ``int``
| *Default:* ``4``
.. py:attribute:: arena_block_size
size of one block in arena memory allocation.
If <= 0, a proper value is automatically calculated (usually 1/10 of
writer_buffer_size).
| *Type:* ``int``
| *Default:* ``0``
.. py:attribute:: disable_auto_compactions
Disable automatic compactions. Manual compactions can still
be issued on this database.
| *Type:* ``bool``
| *Default:* ``False``
.. py:attribute:: wal_ttl_seconds, wal_size_limit_mb
The following two fields affect how archived logs will be deleted.
1. If both set to 0, logs will be deleted asap and will not get into
the archive.
2. If wal_ttl_seconds is 0 and wal_size_limit_mb is not 0,
WAL files will be checked every 10 min and if total size is greater
then wal_size_limit_mb, they will be deleted starting with the
earliest until size_limit is met. All empty files will be deleted.
3. If wal_ttl_seconds is not 0 and wal_size_limit_mb is 0, then
WAL files will be checked every wal_ttl_secondsi / 2 and those that
are older than wal_ttl_seconds will be deleted.
4. If both are not 0, WAL files will be checked every 10 min and both
checks will be performed with ttl being first.
| *Type:* ``int``
| *Default:* ``0``
.. py:attribute:: manifest_preallocation_size
Number of bytes to preallocate (via fallocate) the manifest
files. Default is 4mb, which is reasonable to reduce random IO
as well as prevent overallocation for mounts that preallocate
large amounts of data (such as xfs's allocsize option).
| *Type:* ``int``
| *Default:* ``4194304``
.. py:attribute:: purge_redundant_kvs_while_flush
Purge duplicate/deleted keys when a memtable is flushed to storage.
| *Type:* ``bool``
| *Default:* ``True``
.. py:attribute:: allow_mmap_reads
Allow the OS to mmap file for reading sst tables
| *Type:* ``bool``
| *Default:* ``True``
.. py:attribute:: allow_mmap_writes
Allow the OS to mmap file for writing
| *Type:* ``bool``
| *Default:* ``False``
.. py:attribute:: is_fd_close_on_exec
Disable child process inherit open files
| *Type:* ``bool``
| *Default:* ``True``
.. py:attribute:: skip_log_error_on_recovery
Skip log corruption error on recovery
(If client is ok with losing most recent changes)
| *Type:* ``bool``
| *Default:* ``False``
.. py:attribute:: stats_dump_period_sec
If not zero, dump rocksdb.stats to LOG every stats_dump_period_sec
| *Type:* ``int``
| *Default:* ``3600``
.. py:attribute:: advise_random_on_open
If set true, will hint the underlying file system that the file
access pattern is random, when a sst file is opened.
| *Type:* ``bool``
| *Default:* ``True``
.. py:attribute:: use_adaptive_mutex
Use adaptive mutex, which spins in the user space before resorting
to kernel. This could reduce context switch when the mutex is not
heavily contended. However, if the mutex is hot, we could end up
wasting spin time.
| *Type:* ``bool``
| *Default:* ``False``
.. py:attribute:: bytes_per_sync
Allows OS to incrementally sync files to disk while they are being
written, asynchronously, in the background.
Issue one request for every bytes_per_sync written. 0 turns it off.
| *Type:* ``int``
| *Default:* ``0``
.. py:attribute:: compaction_style
The compaction style. Could be set to ``"level"`` to use level-style
compaction. For universal-style compaction use ``"universal"``. For
FIFO compaction use ``"fifo"``. If no compaction style use ``"none"``.
| *Type:* ``string``
| *Default:* ``level``
.. py:attribute:: compaction_pri
If level compaction_style = kCompactionStyleLevel, for each level,
which files are prioritized to be picked to compact.
| *Type:* Member of :py:class:`rocksdb.CompactionPri`
| *Default:* :py:attr:`rocksdb.CompactionPri.kByCompensatedSize`
.. py:attribute:: compaction_options_universal
Options to use for universal-style compaction. They make only sense if
:py:attr:`rocksdb.Options.compaction_style` is set to ``"universal"``.
It is a dict with the following keys.
* ``size_ratio``:
Percentage flexibilty while comparing file size.
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:: 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``
.. py:attribute:: row_cache
A global cache for table-level rows. If ``None`` this cache is not used.
Otherwise it must be an instance of :py:class:`rocksdb.LRUCache`
*Default:* ``None``
CompactionPri
================
.. py:class:: rocksdb.CompactionPri
Defines the support compression types
.. py:attribute:: kByCompensatedSize
.. py:attribute:: kOldestLargestSeqFirst
.. py:attribute:: kOldestSmallestSeqFirst
.. py:attribute:: kMinOverlappingRatio
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
.. py:attribute:: xpress_compression
.. py:attribute:: zstd_compression
.. py:attribute:: zstdnotfinal_compression
.. py:attribute:: disable_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 (in bytes).
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