Initializes the object @param [Hash] attributes Model attributes in the form of hash

Returns true if this reference is the same as other. Invokes same?.

Required properties Target amount of segments optimizer will try to keep. Real amount of segments may vary depending on multiple parameters: - Amount of stored points - Current write RPS It is recommended to select default number of segments as a factor of the number of search threads, so that each segment would be handled evenly by one of the threads. If default_segment_number = 0, will be automatically selected by the number of available CPUs.

Required properties Target amount of segments optimizer will try to keep. Real amount of segments may vary depending on multiple parameters: - Amount of stored points - Current write RPS It is recommended to select default number of segments as a factor of the number of search threads, so that each segment would be handled evenly by one of the threads. If default_segment_number = 0, will be automatically selected by the number of available CPUs.

Optional properties The minimal fraction of deleted vectors in a segment, required to perform segment optimization

Optional properties The minimal fraction of deleted vectors in a segment, required to perform segment optimization

Minimum interval between forced flushes.

Minimum interval between forced flushes.

See Object#hash(hasher)

Maximum size (in kilobytes) of vectors allowed for plain index, exceeding this threshold will enable vector indexing Default value is 10,000, based on experiments and observations. To disable vector indexing, set to 0. Note: 1kB = 1 vector of size 256.

Maximum size (in kilobytes) of vectors allowed for plain index, exceeding this threshold will enable vector indexing Default value is 10,000, based on experiments and observations. To disable vector indexing, set to 0. Note: 1kB = 1 vector of size 256.

Show invalid properties with the reasons. Usually used together with valid? @return Array for valid properties with the reasons

Max number of threads (jobs) for running optimizations per shard. Note: each optimization job will also use max_indexing_threads threads by itself for index building. If null - have no limit and choose dynamically to saturate CPU. If 0 - no optimization threads, optimizations will be disabled.

Max number of threads (jobs) for running optimizations per shard. Note: each optimization job will also use max_indexing_threads threads by itself for index building. If null - have no limit and choose dynamically to saturate CPU. If 0 - no optimization threads, optimizations will be disabled.

Do not create segments larger this size (in kilobytes). Large segments might require disproportionately long indexation times, therefore it makes sense to limit the size of segments. If indexing speed is more important - make this parameter lower. If search speed is more important - make this parameter higher. Note: 1Kb = 1 vector of size 256 If not set, will be automatically selected considering the number of available CPUs.

Do not create segments larger this size (in kilobytes). Large segments might require disproportionately long indexation times, therefore it makes sense to limit the size of segments. If indexing speed is more important - make this parameter lower. If search speed is more important - make this parameter higher. Note: 1Kb = 1 vector of size 256 If not set, will be automatically selected considering the number of available CPUs.

Maximum size (in kilobytes) of vectors to store in-memory per segment. Segments larger than this threshold will be stored as read-only memmapped file. Memmap storage is disabled by default, to enable it, set this threshold to a reasonable value. To disable memmap storage, set this to 0. Internally it will use the largest threshold possible. Note: 1Kb = 1 vector of size 256

Maximum size (in kilobytes) of vectors to store in-memory per segment. Segments larger than this threshold will be stored as read-only memmapped file. Memmap storage is disabled by default, to enable it, set this threshold to a reasonable value. To disable memmap storage, set this to 0. Internally it will use the largest threshold possible. Note: 1Kb = 1 vector of size 256

If enabled, the service will try to prevent the creation of large unoptimized segments. When enabled, new points written to segments larger than the indexing threshold are stored as "deferred points": they are persisted in the WAL and segments, but excluded from read/search results until the corresponding segments are optimized (e.g. indexed, quantized, or moved to mmap storage). Update requests with wait=true will only return after the deferred points become visible, which may significantly increase the perceived latency between submitting an update and its completion. Update requests with wait=false are not affected. Default is disabled.

If enabled, the service will try to prevent the creation of large unoptimized segments. When enabled, new points written to segments larger than the indexing threshold are stored as "deferred points": they are persisted in the WAL and segments, but excluded from read/search results until the corresponding segments are optimized (e.g. indexed, quantized, or moved to mmap storage). Update requests with wait=true will only return after the deferred points become visible, which may significantly increase the perceived latency between submitting an update and its completion. Update requests with wait=false are not affected. Default is disabled.

The minimal number of vectors in a segment, required to perform segment optimization

The minimal number of vectors in a segment, required to perform segment optimization

Check to see if the all the properties in the model are valid @return true if the model is valid