reduce operator

Groups a set of strings together based on value similarity.

For each such group, the operator returns a pattern, count, and representative. The pattern best describes the group, in which the * character represents a wildcard. The count is the number of values in the group, and the representative is one of the original values in the group.

Syntax

T | reduce [kind = ReduceKind] by Expr [with [threshold = Threshold] [, characters = Characters]]

Learn more about syntax conventions.

Parameters

Name Type Required Description
Expr string ✔️ The value by which to reduce.
Threshold real A value between 0 and 1 that determines the minimum fraction of rows required to match the grouping criteria in order to trigger a reduction operation. The default value is 0.1.

We recommend setting a small threshold value for large inputs. With a smaller threshold value, more similar values are grouped together, resulting in fewer but more similar groups. A larger threshold value requires less similarity, resulting in more groups that are less similar. See Examples.
Characters string A list of characters that separate between terms. The default is every non-ascii numeric character. For examples, see Behavior of Characters parameter.
ReduceKind string The only valid value is source. If source is specified, the operator appends the Pattern column to the existing rows in the table instead of aggregating by Pattern.

Returns

A table with as many rows as there are groups and columns titled pattern, count, and representative. The pattern best describes the group, in which the * character represents a wildcard, or placeholder for an arbitrary insertion string. The count is the number of values in the group, and the representative is one of the original values in the group.

For example, the result of reduce by city might include:

Pattern Count Representative
San * 5182 San Bernard
Saint * 2846 Saint Lucy
Moscow 3726 Moscow
* -on- * 2730 One -on- One
Paris 2716 Paris

Examples

Small threshold value

range x from 1 to 1000 step 1
| project MyText = strcat("MachineLearningX", tostring(toint(rand(10))))
| reduce by MyText  with threshold=0.001 , characters = "X" 

Output

Pattern Count Representative
MachineLearning* 1000 MachineLearningX4

Large threshold value

range x from 1 to 1000 step 1
| project MyText = strcat("MachineLearningX", tostring(toint(rand(10))))
| reduce by MyText  with threshold=0.9 , characters = "X" 

Output

Pattern Count Representative
MachineLearning* 177 MachineLearningX9
MachineLearning* 102 MachineLearningX0
MachineLearning* 106 MachineLearningX1
MachineLearning* 96 MachineLearningX6
MachineLearning* 110 MachineLearningX4
MachineLearning* 100 MachineLearningX3
MachineLearning* 99 MachineLearningX8
MachineLearning* 104 MachineLearningX7
MachineLearning* 106 MachineLearningX2

Behavior of Characters parameter

If the Characters parameter is unspecified, then every non-ascii numeric character becomes a term separator.

range x from 1 to 10 step 1 | project str = strcat("foo", "Z", tostring(x)) | reduce by str

Output

Pattern Count Representative
others 10

However, if you specify that "Z" is a separator, then it's as if each value in str is 2 terms: foo and tostring(x):

range x from 1 to 10 step 1 | project str = strcat("foo", "Z", tostring(x)) | reduce by str with characters="Z"

Output

Pattern Count Representative
foo* 10 fooZ1

Apply reduce to sanitized input

The following example shows how one might apply the reduce operator to a "sanitized" input, in which GUIDs in the column being reduced are replaced prior to reducing

// Start with a few records from the Trace table.
Trace | take 10000
// We will reduce the Text column which includes random GUIDs.
// As random GUIDs interfere with the reduce operation, replace them all
// by the string "GUID".
| extend Text=replace_regex(Text, @"[[:xdigit:]]{8}-[[:xdigit:]]{4}-[[:xdigit:]]{4}-[[:xdigit:]]{4}-[[:xdigit:]]{12}", @"GUID")
// Now perform the reduce. In case there are other "quasi-random" identifiers with embedded '-'
// or '_' characters in them, treat these as non-term-breakers.
| reduce by Text with characters="-_"

autocluster

Note

The implementation of reduce operator is largely based on the paper A Data Clustering Algorithm for Mining Patterns From Event Logs, by Risto Vaarandi.