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- Troubleshoot the Reduce Function
Troubleshoot the Reduce Function¶
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Note
Aggregation Pipeline as Alternative to Map-Reduce
Starting in MongoDB 5.0, map-reduce is deprecated:
- Instead of map-reduce, you should use an aggregation pipeline. Aggregation pipelines provide better performance and usability than map-reduce.
- You can rewrite map-reduce operations using aggregation
pipeline stages, such as
$group,$merge, and others. - For map-reduce operations that require custom functionality, you can
use the
$accumulatorand$functionaggregation operators, available starting in version 4.4. You can use those operators to define custom aggregation expressions in JavaScript.
For examples of aggregation pipeline alternatives to map-reduce, see:
An aggregation pipeline is also easier to troubleshoot than a map-reduce operation.
The reduce function is a JavaScript function that “reduces” to a
single object all the values associated with a particular key during a
map-reduce operation. The reduce function
must meet various requirements. This tutorial helps verify that the
reduce function meets the following criteria:
- The
reducefunction must return an object whose type must be identical to the type of thevalueemitted by themapfunction. - The order of the elements in the
valuesArrayshould not affect the output of thereducefunction. - The
reducefunction must be idempotent.
For a list of all the requirements for the reduce function, see
mapReduce, or mongosh helper method
db.collection.mapReduce().
Note
Starting in MongoDB 4.4, mapReduce no longer supports
the deprecated BSON type JavaScript code with scope
(BSON type 15) for its functions. The
map, reduce, and finalize functions must be either BSON
type String (BSON type 2) or BSON
type JavaScript (BSON type 13). To
pass constant values which will be accessible in the map,
reduce, and finalize functions, use the scope parameter.
The use of JavaScript code with scope for the mapReduce
functions has been deprecated since version 4.2.1.
Confirm Output Type¶
You can test that the reduce function returns a value that is the
same type as the value emitted from the map function.
Define a
reduceFunction1function that takes the argumentskeyCustIdandvaluesPrices.valuesPricesis an array of integers:Define a sample array of integers:
Invoke the
reduceFunction1withmyTestValues:Verify the
reduceFunction1returned an integer:Define a
reduceFunction2function that takes the argumentskeySKUandvaluesCountObjects.valuesCountObjectsis an array of documents that contain two fieldscountandqty:Define a sample array of documents:
Invoke the
reduceFunction2withmyTestObjects:Verify the
reduceFunction2returned a document with exactly thecountand theqtyfield:
Ensure Insensitivity to the Order of Mapped Values¶
The reduce function takes a key and a values array as its
argument. You can test that the result of the reduce function does
not depend on the order of the elements in the values array.
Define a sample
values1array and a samplevalues2array that only differ in the order of the array elements:Define a
reduceFunction2function that takes the argumentskeySKUandvaluesCountObjects.valuesCountObjectsis an array of documents that contain two fieldscountandqty:Invoke the
reduceFunction2first withvalues1and then withvalues2:Verify the
reduceFunction2returned the same result:
Ensure Reduce Function Idempotence¶
Because the map-reduce operation may call a reduce multiple times
for the same key, and won’t call a reduce for single instances
of a key in the working set, the reduce function must return a value of the
same type as the value emitted from the map function. You can test
that the reduce function process “reduced” values without
affecting the final value.
Define a
reduceFunction2function that takes the argumentskeySKUandvaluesCountObjects.valuesCountObjectsis an array of documents that contain two fieldscountandqty:Define a sample key:
Define a sample
valuesIdempotentarray that contains an element that is a call to thereduceFunction2function:Define a sample
values1array that combines the values passed toreduceFunction2:Invoke the
reduceFunction2first withmyKeyandvaluesIdempotentand then withmyKeyandvalues1:Verify the
reduceFunction2returned the same result: