How to write java script lookup functions in marklogic?












0















I have three json documents in my database with their unique URI's.



/employee/100.json



{
"id": "100",
"name": "niranjan",
"status": "unprocessed"
}


/domain/100.json



{
"id": "100",
"domain": "java"
}


/salary/100.json



{
"id": "100",
"salary": "3000"
}


Now, I've to write a javascript lookup functions to fetch the details from corresponding documents based on "id" from /employee/100.json.



The output should look like this:



/final/100.json



{
"id": "100",
"name": "niranjan",
"domain": "java",
"salary": "3000"
}


How to do this??










share|improve this question

























  • can you post what you have tried so far ?

    – Gaurav Rana
    Jan 2 at 8:07











  • I haven't tried anything in javascript, but I was going through this stackoverflow.com/questions/10157616/marklogic-join-query

    – Deepan Chelliah
    Jan 2 at 11:02
















0















I have three json documents in my database with their unique URI's.



/employee/100.json



{
"id": "100",
"name": "niranjan",
"status": "unprocessed"
}


/domain/100.json



{
"id": "100",
"domain": "java"
}


/salary/100.json



{
"id": "100",
"salary": "3000"
}


Now, I've to write a javascript lookup functions to fetch the details from corresponding documents based on "id" from /employee/100.json.



The output should look like this:



/final/100.json



{
"id": "100",
"name": "niranjan",
"domain": "java",
"salary": "3000"
}


How to do this??










share|improve this question

























  • can you post what you have tried so far ?

    – Gaurav Rana
    Jan 2 at 8:07











  • I haven't tried anything in javascript, but I was going through this stackoverflow.com/questions/10157616/marklogic-join-query

    – Deepan Chelliah
    Jan 2 at 11:02














0












0








0








I have three json documents in my database with their unique URI's.



/employee/100.json



{
"id": "100",
"name": "niranjan",
"status": "unprocessed"
}


/domain/100.json



{
"id": "100",
"domain": "java"
}


/salary/100.json



{
"id": "100",
"salary": "3000"
}


Now, I've to write a javascript lookup functions to fetch the details from corresponding documents based on "id" from /employee/100.json.



The output should look like this:



/final/100.json



{
"id": "100",
"name": "niranjan",
"domain": "java",
"salary": "3000"
}


How to do this??










share|improve this question
















I have three json documents in my database with their unique URI's.



/employee/100.json



{
"id": "100",
"name": "niranjan",
"status": "unprocessed"
}


/domain/100.json



{
"id": "100",
"domain": "java"
}


/salary/100.json



{
"id": "100",
"salary": "3000"
}


Now, I've to write a javascript lookup functions to fetch the details from corresponding documents based on "id" from /employee/100.json.



The output should look like this:



/final/100.json



{
"id": "100",
"name": "niranjan",
"domain": "java",
"salary": "3000"
}


How to do this??







marklogic marklogic-9






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Jan 3 at 0:44









Dave Cassel

6,9841531




6,9841531










asked Jan 2 at 8:04









Deepan ChelliahDeepan Chelliah

325




325













  • can you post what you have tried so far ?

    – Gaurav Rana
    Jan 2 at 8:07











  • I haven't tried anything in javascript, but I was going through this stackoverflow.com/questions/10157616/marklogic-join-query

    – Deepan Chelliah
    Jan 2 at 11:02



















  • can you post what you have tried so far ?

    – Gaurav Rana
    Jan 2 at 8:07











  • I haven't tried anything in javascript, but I was going through this stackoverflow.com/questions/10157616/marklogic-join-query

    – Deepan Chelliah
    Jan 2 at 11:02

















can you post what you have tried so far ?

– Gaurav Rana
Jan 2 at 8:07





can you post what you have tried so far ?

– Gaurav Rana
Jan 2 at 8:07













I haven't tried anything in javascript, but I was going through this stackoverflow.com/questions/10157616/marklogic-join-query

– Deepan Chelliah
Jan 2 at 11:02





I haven't tried anything in javascript, but I was going through this stackoverflow.com/questions/10157616/marklogic-join-query

– Deepan Chelliah
Jan 2 at 11:02












1 Answer
1






active

oldest

votes


















2














One approach is to use a query similar to the following to retrieve the three documents:



cts.search(cts.andQuery([
cts.jsonPropertyValueQuery("id", "100"),
cts.orQuery([
cts.jsonPropertyScopeQuery("name", cts.trueQuery()),
cts.jsonPropertyScopeQuery("domain", cts.trueQuery()),
cts.jsonPropertyScopeQuery("salary", cts.trueQuery())
])
]))


The scope queries test the existence of properties. After retrieving the documents, your SJS code can create a JavaScript or JSON object with the merged properties.



For more efficiency in a production application, you could create indexes on each of the documents using TDE and then join the documents using the Optic API.



However ...



Given that all three documents share the same key, the better approach is almost certainly to persist what you've identified as the output document and filter out any properties you don't need on retrieval.



The DataHub Framework provides a guided way to stage documents and produce harmonized documents.



Hoping that helps,






share|improve this answer
























  • Thanks! The above code works fine. But, how can I limit it to particular collection or uri???

    – Deepan Chelliah
    Jan 3 at 11:00











  • I tried cts.collectionMatch but its returning empty sequence

    – Deepan Chelliah
    Jan 3 at 11:32











  • Add a cts.collectionQuery() to the array of subqueries for the cts.andQuery(). The general pattern is that query constructors end in *Query(). cts.collectionMatch() looks up collections in the collection lexicon.

    – ehennum
    Jan 3 at 17:21











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1 Answer
1






active

oldest

votes








1 Answer
1






active

oldest

votes









active

oldest

votes






active

oldest

votes









2














One approach is to use a query similar to the following to retrieve the three documents:



cts.search(cts.andQuery([
cts.jsonPropertyValueQuery("id", "100"),
cts.orQuery([
cts.jsonPropertyScopeQuery("name", cts.trueQuery()),
cts.jsonPropertyScopeQuery("domain", cts.trueQuery()),
cts.jsonPropertyScopeQuery("salary", cts.trueQuery())
])
]))


The scope queries test the existence of properties. After retrieving the documents, your SJS code can create a JavaScript or JSON object with the merged properties.



For more efficiency in a production application, you could create indexes on each of the documents using TDE and then join the documents using the Optic API.



However ...



Given that all three documents share the same key, the better approach is almost certainly to persist what you've identified as the output document and filter out any properties you don't need on retrieval.



The DataHub Framework provides a guided way to stage documents and produce harmonized documents.



Hoping that helps,






share|improve this answer
























  • Thanks! The above code works fine. But, how can I limit it to particular collection or uri???

    – Deepan Chelliah
    Jan 3 at 11:00











  • I tried cts.collectionMatch but its returning empty sequence

    – Deepan Chelliah
    Jan 3 at 11:32











  • Add a cts.collectionQuery() to the array of subqueries for the cts.andQuery(). The general pattern is that query constructors end in *Query(). cts.collectionMatch() looks up collections in the collection lexicon.

    – ehennum
    Jan 3 at 17:21
















2














One approach is to use a query similar to the following to retrieve the three documents:



cts.search(cts.andQuery([
cts.jsonPropertyValueQuery("id", "100"),
cts.orQuery([
cts.jsonPropertyScopeQuery("name", cts.trueQuery()),
cts.jsonPropertyScopeQuery("domain", cts.trueQuery()),
cts.jsonPropertyScopeQuery("salary", cts.trueQuery())
])
]))


The scope queries test the existence of properties. After retrieving the documents, your SJS code can create a JavaScript or JSON object with the merged properties.



For more efficiency in a production application, you could create indexes on each of the documents using TDE and then join the documents using the Optic API.



However ...



Given that all three documents share the same key, the better approach is almost certainly to persist what you've identified as the output document and filter out any properties you don't need on retrieval.



The DataHub Framework provides a guided way to stage documents and produce harmonized documents.



Hoping that helps,






share|improve this answer
























  • Thanks! The above code works fine. But, how can I limit it to particular collection or uri???

    – Deepan Chelliah
    Jan 3 at 11:00











  • I tried cts.collectionMatch but its returning empty sequence

    – Deepan Chelliah
    Jan 3 at 11:32











  • Add a cts.collectionQuery() to the array of subqueries for the cts.andQuery(). The general pattern is that query constructors end in *Query(). cts.collectionMatch() looks up collections in the collection lexicon.

    – ehennum
    Jan 3 at 17:21














2












2








2







One approach is to use a query similar to the following to retrieve the three documents:



cts.search(cts.andQuery([
cts.jsonPropertyValueQuery("id", "100"),
cts.orQuery([
cts.jsonPropertyScopeQuery("name", cts.trueQuery()),
cts.jsonPropertyScopeQuery("domain", cts.trueQuery()),
cts.jsonPropertyScopeQuery("salary", cts.trueQuery())
])
]))


The scope queries test the existence of properties. After retrieving the documents, your SJS code can create a JavaScript or JSON object with the merged properties.



For more efficiency in a production application, you could create indexes on each of the documents using TDE and then join the documents using the Optic API.



However ...



Given that all three documents share the same key, the better approach is almost certainly to persist what you've identified as the output document and filter out any properties you don't need on retrieval.



The DataHub Framework provides a guided way to stage documents and produce harmonized documents.



Hoping that helps,






share|improve this answer













One approach is to use a query similar to the following to retrieve the three documents:



cts.search(cts.andQuery([
cts.jsonPropertyValueQuery("id", "100"),
cts.orQuery([
cts.jsonPropertyScopeQuery("name", cts.trueQuery()),
cts.jsonPropertyScopeQuery("domain", cts.trueQuery()),
cts.jsonPropertyScopeQuery("salary", cts.trueQuery())
])
]))


The scope queries test the existence of properties. After retrieving the documents, your SJS code can create a JavaScript or JSON object with the merged properties.



For more efficiency in a production application, you could create indexes on each of the documents using TDE and then join the documents using the Optic API.



However ...



Given that all three documents share the same key, the better approach is almost certainly to persist what you've identified as the output document and filter out any properties you don't need on retrieval.



The DataHub Framework provides a guided way to stage documents and produce harmonized documents.



Hoping that helps,







share|improve this answer












share|improve this answer



share|improve this answer










answered Jan 2 at 18:52









ehennumehennum

5,44697




5,44697













  • Thanks! The above code works fine. But, how can I limit it to particular collection or uri???

    – Deepan Chelliah
    Jan 3 at 11:00











  • I tried cts.collectionMatch but its returning empty sequence

    – Deepan Chelliah
    Jan 3 at 11:32











  • Add a cts.collectionQuery() to the array of subqueries for the cts.andQuery(). The general pattern is that query constructors end in *Query(). cts.collectionMatch() looks up collections in the collection lexicon.

    – ehennum
    Jan 3 at 17:21



















  • Thanks! The above code works fine. But, how can I limit it to particular collection or uri???

    – Deepan Chelliah
    Jan 3 at 11:00











  • I tried cts.collectionMatch but its returning empty sequence

    – Deepan Chelliah
    Jan 3 at 11:32











  • Add a cts.collectionQuery() to the array of subqueries for the cts.andQuery(). The general pattern is that query constructors end in *Query(). cts.collectionMatch() looks up collections in the collection lexicon.

    – ehennum
    Jan 3 at 17:21

















Thanks! The above code works fine. But, how can I limit it to particular collection or uri???

– Deepan Chelliah
Jan 3 at 11:00





Thanks! The above code works fine. But, how can I limit it to particular collection or uri???

– Deepan Chelliah
Jan 3 at 11:00













I tried cts.collectionMatch but its returning empty sequence

– Deepan Chelliah
Jan 3 at 11:32





I tried cts.collectionMatch but its returning empty sequence

– Deepan Chelliah
Jan 3 at 11:32













Add a cts.collectionQuery() to the array of subqueries for the cts.andQuery(). The general pattern is that query constructors end in *Query(). cts.collectionMatch() looks up collections in the collection lexicon.

– ehennum
Jan 3 at 17:21





Add a cts.collectionQuery() to the array of subqueries for the cts.andQuery(). The general pattern is that query constructors end in *Query(). cts.collectionMatch() looks up collections in the collection lexicon.

– ehennum
Jan 3 at 17:21




















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