Improve the speed of many to many sass tabular cube
I have a model that looks like the below image. This example is healthcare, but feel free to sub any other domain (sales, retail, etc.). The basic idea is that there are multiple many-to-many relationships. Every encounter (patient seeing a doctor) can have any number of Diagnosis associated with it, any number of procedures associated with it, and any number of medications associated with it, hence the bridge tables for each. We need a very fast way to calculate how many encounters have x diagnosis and y medication, or z procedure and x medication. I've tried things like:
Count of Encounters:=CALCULATE(
COUNT(EncounterFact[PatientEncounterCSNID]),'Diagnosis Bridge', 'Medication Bridge', 'Procedure Bridge')
But this is very slow. Note that EncounterFact (and therefore every bridge table) is 10's of millions of rows.
I've thought about pre-staging aggregated data, but there are too many possibilities.
How can I model this, or use better DAX to make calculations like the ones above faster?
Thanks! Any advice appreciated!
Note: Compatibility level is 1103
ssas ssas-tabular
add a comment |
I have a model that looks like the below image. This example is healthcare, but feel free to sub any other domain (sales, retail, etc.). The basic idea is that there are multiple many-to-many relationships. Every encounter (patient seeing a doctor) can have any number of Diagnosis associated with it, any number of procedures associated with it, and any number of medications associated with it, hence the bridge tables for each. We need a very fast way to calculate how many encounters have x diagnosis and y medication, or z procedure and x medication. I've tried things like:
Count of Encounters:=CALCULATE(
COUNT(EncounterFact[PatientEncounterCSNID]),'Diagnosis Bridge', 'Medication Bridge', 'Procedure Bridge')
But this is very slow. Note that EncounterFact (and therefore every bridge table) is 10's of millions of rows.
I've thought about pre-staging aggregated data, but there are too many possibilities.
How can I model this, or use better DAX to make calculations like the ones above faster?
Thanks! Any advice appreciated!
Note: Compatibility level is 1103
ssas ssas-tabular
add a comment |
I have a model that looks like the below image. This example is healthcare, but feel free to sub any other domain (sales, retail, etc.). The basic idea is that there are multiple many-to-many relationships. Every encounter (patient seeing a doctor) can have any number of Diagnosis associated with it, any number of procedures associated with it, and any number of medications associated with it, hence the bridge tables for each. We need a very fast way to calculate how many encounters have x diagnosis and y medication, or z procedure and x medication. I've tried things like:
Count of Encounters:=CALCULATE(
COUNT(EncounterFact[PatientEncounterCSNID]),'Diagnosis Bridge', 'Medication Bridge', 'Procedure Bridge')
But this is very slow. Note that EncounterFact (and therefore every bridge table) is 10's of millions of rows.
I've thought about pre-staging aggregated data, but there are too many possibilities.
How can I model this, or use better DAX to make calculations like the ones above faster?
Thanks! Any advice appreciated!
Note: Compatibility level is 1103
ssas ssas-tabular
I have a model that looks like the below image. This example is healthcare, but feel free to sub any other domain (sales, retail, etc.). The basic idea is that there are multiple many-to-many relationships. Every encounter (patient seeing a doctor) can have any number of Diagnosis associated with it, any number of procedures associated with it, and any number of medications associated with it, hence the bridge tables for each. We need a very fast way to calculate how many encounters have x diagnosis and y medication, or z procedure and x medication. I've tried things like:
Count of Encounters:=CALCULATE(
COUNT(EncounterFact[PatientEncounterCSNID]),'Diagnosis Bridge', 'Medication Bridge', 'Procedure Bridge')
But this is very slow. Note that EncounterFact (and therefore every bridge table) is 10's of millions of rows.
I've thought about pre-staging aggregated data, but there are too many possibilities.
How can I model this, or use better DAX to make calculations like the ones above faster?
Thanks! Any advice appreciated!
Note: Compatibility level is 1103
ssas ssas-tabular
ssas ssas-tabular
asked Nov 13 '18 at 6:50
russdsrussds
51831940
51831940
add a comment |
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%2f53275335%2fimprove-the-speed-of-many-to-many-sass-tabular-cube%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%2f53275335%2fimprove-the-speed-of-many-to-many-sass-tabular-cube%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