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  1. Basics
  2. Indexing

Bloom Filter

Bloom filter helps prune segments that do not contain any record matching a EQUALITY predicate, e.g.

SELECT COUNT(*) from baseballStats where playerID = 12345

There are 3 parameters to configure the bloom filter:

  • fpp: False positive probability of the bloom filter (from 0 to 1, 0.05 by default). The lower the fpp , the higher accuracy the bloom filter has, but it will also increase the size of the bloom filter.

  • maxSizeInBytes: Maximum size of the bloom filter (unlimited by default). If a certain fpp generates a bloom filter larger than this size, we will increase the fpp to keep the bloom filter size within this limit.

  • loadOnHeap: Whether to load the bloom filter using heap memory or off-heap memory (false by default).

There are 2 ways of configuring bloom filter for a table in the table config:

  • Configure bloom filter columns with default settings

{
  "tableIndexConfig": {
    "bloomFilterColumns": [
      "playerID",
      ...
    ],
    ...
  },
  ...
}
  • Configure bloom filter columns with customized parameters

{
  "tableIndexConfig": {
    "bloomFilterConfigs": {
      "playerID": {
        "fpp": 0.01,
        "maxSizeInBytes": 1000000,
        "loadOnHeap": true
      },
      ...
    },
    ...
  },
  ...
}

Currently bloom filter can only be applied to the dictionary-encoded columns. Bloom filter support for raw value columns is WIP.

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Last updated 3 years ago

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