A block-nested loop (BNL) is an algorithm used to join two relations in a relational database.[1]

This algorithm[2] is a variation of the simple nested loop join and joins two relations and (the "outer" and "inner" join operands, respectively). Suppose . In a traditional nested loop join, will be scanned once for every tuple of . If there are many qualifying tuples, and particularly if there is no applicable index for the join key on , this operation will be very expensive.

The block nested loop join algorithm improves on the simple nested loop join by only scanning once for every group of tuples. Here groups are disjoint sets of tuples in and the union of all groups has the same tuples as . For example, one variant of the block nested loop join reads an entire page of tuples into memory and loads them into a hash table. It then scans , and probes the hash table to find tuples that match any of the tuples in the current page of . This reduces the number of scans of that are necessary.

algorithm block_nested_loop_join is
    for each page pr in R do
        for each page ps in S do
            for each tuple r in pr do
                for each tuple s in ps do
                    if r and s satisfy the join condition then
                        yield tuple <r,s>


A more aggressive variant of this algorithm loads as many pages of as can be fit in the available memory, loading all such tuples into a hash table, and then repeatedly scans . This further reduces the number of scans of that are necessary. In fact, this algorithm is essentially a special-case of the classic hash join algorithm.

The block nested loop runs in I/Os where is the number of available pages of internal memory and and is size of and respectively in pages. Note that block nested loop runs in I/Os if fits in the available internal memory.

References

  1. "8.2.1.14 Block Nested-Loop and Batched Key Access Joins". MySQL 5.6 Reference Manual. Oracle Corporation. Retrieved 2 August 2015.
  2. "Block Nested Loop Join". MariaDB. MariaDB Corporation Ab. Retrieved 2 August 2015.
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