Calculation in Grafana using series whereas datasource are Postgres
I have a table in Postgres with the following structure
id,timestamp,engineeringvalue
178,1527506108366,100.9
185,1527506108366,1475.23
178,1527506167365,98.86
185,1527506168465,1485.55
178,1527506227564,98.25
185,1527506227564,1490.06
178,1527506287663,98.8
in addition to feature 185 and 179 there is 32 other features.
I am using Grafana to visualize features 185 and 178 by using the following Select
Series ASELECT
$__time(timestamp/1000,10m,previous),
avg(engineeringvalue) AS "Feature A"
FROM
analogsignalfud
WHERE
id=178 and
timestamp >= $__unixEpochFrom()::bigint*1000 and
timestamp <= $__unixEpochTo()::bigint*1000
GROUP BY 1
ORDER BY 1
Series BSELECT
$__time(timestamp/1000,10m,previous),
avg(engineeringvalue) AS "Available Power"
FROM
analogsignalfud
WHERE
id=185 and
timestamp >= $__unixEpochFrom()::bigint*1000 and
timestamp <= $__unixEpochTo()::bigint*1000
GROUP BY 1
ORDER BY 1
This is working very well to graph the features. The features are derived from an event based log and therefore the "timestamp" are not synchronised between that features. Still Grafana "fix" this in the Graph where the data is visualised.
I want to use the A and B Series in a new Series C that is a calculated features where A and B are used. Is this possible when Postgres is the source and the timestamp for the Features are not synchronised.
postgresql
asked Jan 24 at 13:16
luhrerenluhreren
1
migrated from superuser.com Jan 24 at 13:33
This question came from our site for computer enthusiasts and power users.
add a comment |
I have a table in Postgres with the following structure
id,timestamp,engineeringvalue
178,1527506108366,100.9
185,1527506108366,1475.23
178,1527506167365,98.86
185,1527506168465,1485.55
178,1527506227564,98.25
185,1527506227564,1490.06
178,1527506287663,98.8
in addition to feature 185 and 179 there is 32 other features.
I am using Grafana to visualize features 185 and 178 by using the following Select
Series ASELECT
$__time(timestamp/1000,10m,previous),
avg(engineeringvalue) AS "Feature A"
FROM
analogsignalfud
WHERE
id=178 and
timestamp >= $__unixEpochFrom()::bigint*1000 and
timestamp <= $__unixEpochTo()::bigint*1000
GROUP BY 1
ORDER BY 1
Series BSELECT
$__time(timestamp/1000,10m,previous),
avg(engineeringvalue) AS "Available Power"
FROM
analogsignalfud
WHERE
id=185 and
timestamp >= $__unixEpochFrom()::bigint*1000 and
timestamp <= $__unixEpochTo()::bigint*1000
GROUP BY 1
ORDER BY 1
This is working very well to graph the features. The features are derived from an event based log and therefore the "timestamp" are not synchronised between that features. Still Grafana "fix" this in the Graph where the data is visualised.
I want to use the A and B Series in a new Series C that is a calculated features where A and B are used. Is this possible when Postgres is the source and the timestamp for the Features are not synchronised.
postgresql
asked Jan 24 at 13:16
luhrerenluhreren
1
migrated from superuser.com Jan 24 at 13:33
This question came from our site for computer enthusiasts and power users.
Interesting problem. What precisely you want to calculate in series C? Looks like you would need to interpolate missing data points - for simplicity only in linear parts of your graphs between data points - although they look quite un-linear judging from data you provided. There are functions in postgis for it - postgis.net/docs/manual-1.4/ST_Line_Interpolate_Point.html If query would be too slow you can always preaggregate data.
– JosMac
Jan 24 at 15:58
add a comment |
I have a table in Postgres with the following structure
id,timestamp,engineeringvalue
178,1527506108366,100.9
185,1527506108366,1475.23
178,1527506167365,98.86
185,1527506168465,1485.55
178,1527506227564,98.25
185,1527506227564,1490.06
178,1527506287663,98.8
in addition to feature 185 and 179 there is 32 other features.
I am using Grafana to visualize features 185 and 178 by using the following Select
Series ASELECT
$__time(timestamp/1000,10m,previous),
avg(engineeringvalue) AS "Feature A"
FROM
analogsignalfud
WHERE
id=178 and
timestamp >= $__unixEpochFrom()::bigint*1000 and
timestamp <= $__unixEpochTo()::bigint*1000
GROUP BY 1
ORDER BY 1
Series BSELECT
$__time(timestamp/1000,10m,previous),
avg(engineeringvalue) AS "Available Power"
FROM
analogsignalfud
WHERE
id=185 and
timestamp >= $__unixEpochFrom()::bigint*1000 and
timestamp <= $__unixEpochTo()::bigint*1000
GROUP BY 1
ORDER BY 1
This is working very well to graph the features. The features are derived from an event based log and therefore the "timestamp" are not synchronised between that features. Still Grafana "fix" this in the Graph where the data is visualised.
I want to use the A and B Series in a new Series C that is a calculated features where A and B are used. Is this possible when Postgres is the source and the timestamp for the Features are not synchronised.
postgresql
asked Jan 24 at 13:16
luhrerenluhreren
1
I have a table in Postgres with the following structure
id,timestamp,engineeringvalue
178,1527506108366,100.9
185,1527506108366,1475.23
178,1527506167365,98.86
185,1527506168465,1485.55
178,1527506227564,98.25
185,1527506227564,1490.06
178,1527506287663,98.8
in addition to feature 185 and 179 there is 32 other features.
I am using Grafana to visualize features 185 and 178 by using the following Select
Series ASELECT
$__time(timestamp/1000,10m,previous),
avg(engineeringvalue) AS "Feature A"
FROM
analogsignalfud
WHERE
id=178 and
timestamp >= $__unixEpochFrom()::bigint*1000 and
timestamp <= $__unixEpochTo()::bigint*1000
GROUP BY 1
ORDER BY 1
Series BSELECT
$__time(timestamp/1000,10m,previous),
avg(engineeringvalue) AS "Available Power"
FROM
analogsignalfud
WHERE
id=185 and
timestamp >= $__unixEpochFrom()::bigint*1000 and
timestamp <= $__unixEpochTo()::bigint*1000
GROUP BY 1
ORDER BY 1
This is working very well to graph the features. The features are derived from an event based log and therefore the "timestamp" are not synchronised between that features. Still Grafana "fix" this in the Graph where the data is visualised.
I want to use the A and B Series in a new Series C that is a calculated features where A and B are used. Is this possible when Postgres is the source and the timestamp for the Features are not synchronised.
postgresql
postgresql
asked Jan 24 at 13:16
luhrerenluhreren
1
asked Jan 24 at 13:16
luhrerenluhreren
1
asked Jan 24 at 13:16
luhrerenluhreren
1
asked Jan 24 at 13:16
luhrerenluhreren
1
asked Jan 24 at 13:16
luhrerenluhreren
1
1
migrated from superuser.com Jan 24 at 13:33
This question came from our site for computer enthusiasts and power users.
migrated from superuser.com Jan 24 at 13:33
This question came from our site for computer enthusiasts and power users.
Interesting problem. What precisely you want to calculate in series C? Looks like you would need to interpolate missing data points - for simplicity only in linear parts of your graphs between data points - although they look quite un-linear judging from data you provided. There are functions in postgis for it - postgis.net/docs/manual-1.4/ST_Line_Interpolate_Point.html If query would be too slow you can always preaggregate data.
– JosMac
Jan 24 at 15:58
add a comment |
Interesting problem. What precisely you want to calculate in series C? Looks like you would need to interpolate missing data points - for simplicity only in linear parts of your graphs between data points - although they look quite un-linear judging from data you provided. There are functions in postgis for it - postgis.net/docs/manual-1.4/ST_Line_Interpolate_Point.html If query would be too slow you can always preaggregate data.
– JosMac
Jan 24 at 15:58
Interesting problem. What precisely you want to calculate in series C? Looks like you would need to interpolate missing data points - for simplicity only in linear parts of your graphs between data points - although they look quite un-linear judging from data you provided. There are functions in postgis for it - postgis.net/docs/manual-1.4/ST_Line_Interpolate_Point.html If query would be too slow you can always preaggregate data.
– JosMac
Jan 24 at 15:58
Interesting problem. What precisely you want to calculate in series C? Looks like you would need to interpolate missing data points - for simplicity only in linear parts of your graphs between data points - although they look quite un-linear judging from data you provided. There are functions in postgis for it - postgis.net/docs/manual-1.4/ST_Line_Interpolate_Point.html If query would be too slow you can always preaggregate data.
– JosMac
Jan 24 at 15:58
add a comment |
0
active
oldest
votes
Your Answer
StackExchange.ifUsing("editor", function () {
StackExchange.using("externalEditor", function () {
StackExchange.using("snippets", function () {
StackExchange.snippets.init();
});
});
}, "code-snippets");
StackExchange.ready(function() {
var channelOptions = {
tags: "".split(" "),
id: "1"
};
initTagRenderer("".split(" "), "".split(" "), channelOptions);
StackExchange.using("externalEditor", function() {
// Have to fire editor after snippets, if snippets enabled
if (StackExchange.settings.snippets.snippetsEnabled) {
StackExchange.using("snippets", function() {
createEditor();
});
}
else {
createEditor();
}
});
function createEditor() {
StackExchange.prepareEditor({
heartbeatType: 'answer',
autoActivateHeartbeat: false,
convertImagesToLinks: true,
noModals: true,
showLowRepImageUploadWarning: true,
reputationToPostImages: 10,
bindNavPrevention: true,
postfix: "",
imageUploader: {
brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
allowUrls: true
},
onDemand: true,
discardSelector: ".discard-answer"
,immediatelyShowMarkdownHelp:true
});
}
});
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f54347869%2fcalculation-in-grafana-using-series-whereas-datasource-are-postgres%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
0
active
oldest
votes
0
active
oldest
votes
active
oldest
votes
active
oldest
votes
Thanks for contributing an answer to Stack Overflow!
- Please be sure to answer the question. Provide details and share your research!
But avoid …
- Asking for help, clarification, or responding to other answers.
- Making statements based on opinion; back them up with references or personal experience.
To learn more, see our tips on writing great answers.
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f54347869%2fcalculation-in-grafana-using-series-whereas-datasource-are-postgres%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Interesting problem. What precisely you want to calculate in series C? Looks like you would need to interpolate missing data points - for simplicity only in linear parts of your graphs between data points - although they look quite un-linear judging from data you provided. There are functions in postgis for it - postgis.net/docs/manual-1.4/ST_Line_Interpolate_Point.html If query would be too slow you can always preaggregate data.
– JosMac
Jan 24 at 15:58