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eeb0170d
Commit
eeb0170d
authored
Mar 03, 2015
by
Julius Volz
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Merge pull request #48 from fabxc/fabxc/vector_matching
Documentation for vector matching added.
parents
a33f2ca0
c88354ce
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content/docs/querying/operators.md
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eeb0170d
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@@ -5,7 +5,13 @@ sort_rank: 2
# Operators
## Arithmetic binary operators
## Binary operators
Prometheus's query language supports basic logical and arithmetic operators.
For operations between two instant vectors, the
[
matching behavior
](
#vector-matching
)
can be modified.
### Arithmetic binary operators
The following binary arithmetic operators exist in Prometheus:
*
`+`
(addition)
...
...
@@ -25,16 +31,18 @@ value of every data sample in the vector. E.g. if a time series instant vector
is multiplied by 2, the result is another vector in which every sample value of
the original vector is multiplied by 2.
**Between two instant vectors**
, a binary arithmetic operator
only applies
to
vector elements that have identical sets of labels between the two vectors.
Vector elements that don't find an exact label match on the other side get
dropped from the result. The metric name of the result vector is carried over
f
rom the left hand side of the expression
.
**Between two instant vectors**
, a binary arithmetic operator
is applied
to
each entry in the left-hand-side vector and its
[
matching element
](
#vector-matching
)
in the right hand vector. The result is propagated into the result vector and the metric
name is dropped. Entries for which no matching entry in the right-hand vector can be
f
ound are not part of the result
.
##
Comparison /
filter binary operators
##
# Comparison/
filter binary operators
The following binary comparison/filter operators exist in Prometheus:
*
`==`
(equal)
*
`!=`
(not-equal)
*
`>`
(greater-than)
*
`<`
(less-than)
*
`>=`
(greater-or-equal)
...
...
@@ -50,31 +58,102 @@ either `0` (`false`) or `1` (`true`), depending on the comparison result.
value of every data sample in the vector, and vector elements between which the
comparison result is
`false`
get dropped from the result vector.
**Between two instant vectors**
, these operators behave as a filter: They apply
to vector elements that have identical sets of labels between the two vectors.
Vector elements for which the expression evaluates to
`false`
or which don't
find an exact label match on the other side of the expression get dropped from
the result, while the others get carried over into a result vector with their
original (left-hand-side) metric names and data values.
**Between two instant vectors**
, these operators behave as a filter, applied to
matching entries. Vector elements for which the expression is not true or
which do not find a match on the other side of the expression get dropped from the
result, while the others are propagated into a result vector with their original
(left-hand-side) metric names and label values.
# Logical/set binary operators
#
##
Logical/set binary operators
These logical/set binary operators are only defined between instant vectors:
*
`and`
(intersection)
*
`or`
(union)
(
**not yet implemented!**
)
*
`or`
(union)
`vector1 and vector2`
results in a vector consisting of the elements of
`vector1`
for which there are elements in
`vector2`
with exactly matching
labelsets. Other elements are dropped. The metric name and values are carried
label
sets. Other elements are dropped. The metric name and values are carried
over from the left-hand-side vector.
`vector1 or vector2`
results in a vector that contains all original elements
(labelsets + values) of
`vector1`
and additionally all elements of
`vector2`
,
which don't have matching labelsets in
`vector1`
. The metric name is carried
over from the left-hand-side vector in both cases.
(label sets + values) of
`vector1`
and additionally all elements of
`vector2`
which do not have matching label sets in
`vector1`
.
## Vector matching
Operations between vectors attempt to find a matching element in the right-hand-side
vector for each entry in the left-hand side. There are two basic types of
matching behavior:
**One-to-one**
finds a unique pair of entries from each side of the operation.
In the default case, that is an operation following the format
`vector1 <operator> vector2`
.
Two entries match if they have the exact same set of labels and corresponding values.
The
`on`
keyword allows reducing the set of considered labels to a provided list:
<vector expr> <bin-op> on(<label list>) <vector expr>
Example input:
method:http_errors:rate5m{method="get", code="500"} 24
method:http_errors:rate5m{method="get", code="404"} 30
method:http_errors:rate5m{method="put", code="500"} 3
method:http_errors:rate5m{method="post", code="500"} 6
method:http_errors:rate5m{method="post", code="404"} 21
method:http_requests:rate5m{domain="example.com", method="get"} 600
method:http_requests:rate5m{domain="example.com", method="del"} 34
method:http_requests:rate5m{domain="example.com", method="post"} 120
Example query:
method:http_errors:rate5m{code="500"} / on(method) method:http_requests:rate5m
This returns a result vector containing the fraction of HTTP requests with status code
of 500 for each method, as measured over the last 5 minutes. Without
`on(method)`
there
would have been no match as the metrics do not share the same set of labels.
The entries with methods
`put`
and
`del`
have no match and will not show up in the result:
{method="get"} 0.04 // 24 / 600
{method="post"} 0.1 // 12 / 120
**Many-to-one**
and
**one-to-many**
matchings refer to the case where each vector element on
the "one"-side can match with multiple elements on the "many"-side. This has to
be explicitly requested using the
`group_left`
or
`group_right`
modifier, where
left/right determines which vector has the higher cardinality.
<vector expr> <bin-op> on(<label list>) group_left(<label list>) <vector expr>
<vector expr> <bin-op> on(<label list>) group_right(<label list>) <vector expr>
The label list provided with the group modifier contains additional labels to be included in
the result metrics. A label can only appear in one of the lists. Every time
series of the result vector must be uniquely identifiable by the labels from both lists
combined.
_Grouping modifiers can only be used for
[
comparison/filtering
](
#comparison-/-filter-binary-operators
)
and
[
arithmetic
](
#arithmetic-binary-operators
)
operations as
`and`
and
`or`
operations
match with all possible entries in the right vector by default._
Example query:
method:http_errors:rate5m / on(method) group_left(code,domain) method:http_requests:rate5m
In this case the left vector contains more than one entry per
`method`
label value. Thus,
we indicate this using
`group_left`
and provide
`code`
as the label that ensures that
the result vector entries are unique. The
`domain`
label name simply requests to include the
label into the result elements. The elements from the right side are now matched with multiple
elements with the same
`method`
label on the left:
{domain="example.com", method="get", code="500"} 0.04 // 24 / 600
{domain="example.com", method="get", code="404"} 0.05 // 30 / 600
{domain="example.com", method="post", code="500"} 0.1 // 12 / 120
{domain="example.com", method="post", code="404"} 0.175 // 21 / 120
_Many-to-one and one-to-many matching are advanced use cases that should be carefully considered.
Often a proper use of
`on(<labels>)`
provides the desired outcome._
# Aggregation operators
#
#
Aggregation operators
Prometheus supports the following built-in aggregation operators that can be
used to aggregate the elements of a single instant vector, resulting in a new
...
...
@@ -105,7 +184,7 @@ number of seen HTTP requests per application and group over all instances via:
sum(http_requests_total) by (application, group)
If we are just interested in the total of HTTP requests we
'
ve seen in
**all**
If we are just interested in the total of HTTP requests we
ha
ve seen in
**all**
applications, we could simply write:
sum(http_requests_total)
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