sequence.reduce(function) → value r.reduce(sequence, function) → value
Produce a single value from a sequence through repeated application of a reduction function.
The reduction function can be called on:
The reduction function can be called on the results of two previous reductions because the reduce
command is distributed and parallelized across shards and CPU cores. A common mistaken when using the reduce
command is to suppose that the reduction is executed from left to right. Read the map-reduce in RethinkDB article to see an example.
If the sequence is empty, the server will produce a ReqlRuntimeError
that can be caught with default
.
If the sequence has only one element, the first element will be returned.
Example: Return the number of documents in the table posts
.
r.table("posts").map(lambda doc: 1) .reduce(lambda left, right: left+right) .default(0).run(conn)
A shorter way to execute this query is to use count.
Example: Suppose that each post
has a field comments
that is an array of comments.
Return the number of comments for all posts.
r.table("posts").map(lambda doc: doc["comments"].count() ).reduce(lambda left, right: left+right ).default(0).run(conn)
Example: Suppose that each post
has a field comments
that is an array of comments.
Return the maximum number comments per post.
r.table("posts").map(lambda doc: doc["comments"].count() ).reduce(lambda left, right: r.branch( left > right, left, right ) ).default(0).run(conn)
A shorter way to execute this query is to use max.
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https://rethinkdb.com/api/python/reduce/