documentation: Fix query docs

This commit changes the following:
-   The datetime has been fixed so it corresponds to the timestamps in example samples. The datetime now also include the UTC time zone and is changed to adhere ISO format.
-   The data points in query range result have been fixed to match the inserted data.

Signed-off-by: Artem Fetishev <rtm@victoriametrics.com>
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Artem Fetishev 2024-11-05 15:36:14 +01:00 committed by GitHub
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@ -497,19 +497,19 @@ where `timestamp` equals to the `time` query arg, while the `value` contains `qu
To understand how instant queries work, let's begin with a data sample: To understand how instant queries work, let's begin with a data sample:
``` ```
foo_bar 1.00 1652169600000 # 2022-05-10 10:00:00 foo_bar 1.00 1652169600000 # 2022-05-10T08:00:00Z
foo_bar 2.00 1652169660000 # 2022-05-10 10:01:00 foo_bar 2.00 1652169660000 # 2022-05-10T08:01:00Z
foo_bar 3.00 1652169720000 # 2022-05-10 10:02:00 foo_bar 3.00 1652169720000 # 2022-05-10T08:02:00Z
foo_bar 5.00 1652169840000 # 2022-05-10 10:04:00, one point missed foo_bar 5.00 1652169840000 # 2022-05-10T08:04:00Z, one point missed
foo_bar 5.50 1652169960000 # 2022-05-10 10:06:00, one point missed foo_bar 5.50 1652169960000 # 2022-05-10T08:06:00Z, one point missed
foo_bar 5.50 1652170020000 # 2022-05-10 10:07:00 foo_bar 5.50 1652170020000 # 2022-05-10T08:07:00Z
foo_bar 4.00 1652170080000 # 2022-05-10 10:08:00 foo_bar 4.00 1652170080000 # 2022-05-10T08:08:00Z
foo_bar 3.50 1652170260000 # 2022-05-10 10:11:00, two points missed foo_bar 3.50 1652170260000 # 2022-05-10T08:11:00Z, two points missed
foo_bar 3.25 1652170320000 # 2022-05-10 10:12:00 foo_bar 3.25 1652170320000 # 2022-05-10T08:12:00Z
foo_bar 3.00 1652170380000 # 2022-05-10 10:13:00 foo_bar 3.00 1652170380000 # 2022-05-10T08:13:00Z
foo_bar 2.00 1652170440000 # 2022-05-10 10:14:00 foo_bar 2.00 1652170440000 # 2022-05-10T08:14:00Z
foo_bar 1.00 1652170500000 # 2022-05-10 10:15:00 foo_bar 1.00 1652170500000 # 2022-05-10T08:15:00Z
foo_bar 4.00 1652170560000 # 2022-05-10 10:16:00 foo_bar 4.00 1652170560000 # 2022-05-10T08:16:00Z
``` ```
The data above contains a list of samples for the `foo_bar` time series with time intervals between samples The data above contains a list of samples for the `foo_bar` time series with time intervals between samples
@ -518,11 +518,11 @@ ranging from 1m to 3m. If we plot this data sample on the graph, it will have th
![data samples](data_samples.webp) ![data samples](data_samples.webp)
{width="500"} {width="500"}
To get the value of the `foo_bar` series at some specific moment of time, for example `2022-05-10 10:03:00`, in To get the value of the `foo_bar` series at some specific moment of time, for example `2022-05-10T08:03:00Z`, in
VictoriaMetrics we need to issue an **instant query**: VictoriaMetrics we need to issue an **instant query**:
```sh ```sh
curl "http://<victoria-metrics-addr>/api/v1/query?query=foo_bar&time=2022-05-10T10:03:00.000Z" curl "http://<victoria-metrics-addr>/api/v1/query?query=foo_bar&time=2022-05-10T08:03:00.000Z"
``` ```
```json ```json
@ -536,7 +536,7 @@ curl "http://<victoria-metrics-addr>/api/v1/query?query=foo_bar&time=2022-05-10T
"__name__": "foo_bar" "__name__": "foo_bar"
}, },
"value": [ "value": [
1652169780, // 2022-05-10 10:03:00 1652169780, // 2022-05-10T08:03:00Z
"3" "3"
] ]
} }
@ -546,8 +546,8 @@ curl "http://<victoria-metrics-addr>/api/v1/query?query=foo_bar&time=2022-05-10T
``` ```
In response, VictoriaMetrics returns a single sample-timestamp pair with a value of `3` for the series In response, VictoriaMetrics returns a single sample-timestamp pair with a value of `3` for the series
`foo_bar` at the given moment in time `2022-05-10 10:03`. But, if we take a look at the original data sample again, `foo_bar` at the given moment in time `2022-05-10T08:03:00Z`. But, if we take a look at the original data sample again,
we'll see that there is no raw sample at `2022-05-10 10:03`. When there is no raw sample at the we'll see that there is no raw sample at `2022-05-10T08:03:00Z`. When there is no raw sample at the
requested timestamp, VictoriaMetrics will try to locate the closest sample before the requested timestamp: requested timestamp, VictoriaMetrics will try to locate the closest sample before the requested timestamp:
![instant query](instant_query.webp) ![instant query](instant_query.webp)
@ -592,11 +592,11 @@ matching the filter in `query` expression. Each returned series contains `(times
at `start`, `start+step`, `start+2*step`, ..., `end` timestamps. In other words, Range query is an [Instant query](#instant-query) at `start`, `start+step`, `start+2*step`, ..., `end` timestamps. In other words, Range query is an [Instant query](#instant-query)
executed independently at `start`, `start+step`, ..., `end` timestamps. executed independently at `start`, `start+step`, ..., `end` timestamps.
For example, to get the values of `foo_bar` during the time range from `2022-05-10 09:59:00` to `2022-05-10 10:17:00`, For example, to get the values of `foo_bar` during the time range from `2022-05-10T07:59:00Z` to `2022-05-10T08:17:00Z`,
we need to issue a range query: we need to issue a range query:
```sh ```sh
curl "http://<victoria-metrics-addr>/api/v1/query_range?query=foo_bar&step=1m&start=2022-05-10T09:59:00.000Z&end=2022-05-10T10:17:00.000Z" curl "http://<victoria-metrics-addr>/api/v1/query_range?query=foo_bar&step=1m&start=2022-05-10T07:59:00.000Z&end=2022-05-10T08:17:00.000Z"
``` ```
```json ```json
@ -628,44 +628,44 @@ curl "http://<victoria-metrics-addr>/api/v1/query_range?query=foo_bar&step=1m&st
], ],
[ [
1652169840, 1652169840,
"7"
],
[
1652169900,
"7"
],
[
1652169960,
"7.5"
],
[
1652170020,
"7.5"
],
[
1652170080,
"6"
],
[
1652170140,
"6"
],
[
1652170260,
"5.5"
],
[
1652170320,
"5.25"
],
[
1652170380,
"5" "5"
], ],
[ [
1652170440, 1652169900,
"5"
],
[
1652169960,
"5.5"
],
[
1652170020,
"5.5"
],
[
1652170080,
"4"
],
[
1652170140,
"4"
],
[
1652170260,
"3.5"
],
[
1652170320,
"3.25"
],
[
1652170380,
"3" "3"
], ],
[
1652170440,
"2"
],
[ [
1652170500, 1652170500,
"1" "1"
@ -686,7 +686,7 @@ curl "http://<victoria-metrics-addr>/api/v1/query_range?query=foo_bar&step=1m&st
``` ```
In response, VictoriaMetrics returns `17` sample-timestamp pairs for the series `foo_bar` at the given time range In response, VictoriaMetrics returns `17` sample-timestamp pairs for the series `foo_bar` at the given time range
from `2022-05-10 09:59:00` to `2022-05-10 10:17:00`. But, if we take a look at the original data sample again, we'll from `2022-05-10T07:59:00Z` to `2022-05-10T08:17:00Z`. But, if we take a look at the original data sample again, we'll
see that it contains only 13 raw samples. What happens here is that the range query is actually see that it contains only 13 raw samples. What happens here is that the range query is actually
an [instant query](#instant-query) executed `1 + (start-end)/step` times on the time range from `start` to `end`. If we plot an [instant query](#instant-query) executed `1 + (start-end)/step` times on the time range from `start` to `end`. If we plot
this request in VictoriaMetrics the graph will be shown as the following: this request in VictoriaMetrics the graph will be shown as the following: