I am using azure cosmos db for saving and editing my session information. Currently i am not using ID in my document, instead i have another unique field with all docs. How can i update my query to get documents?
You can use whatever property you want, for your custom key (just make sure you don't remove its index). By default, all properties are indexed unless you explicitly set up a custom index policy that removes certain properties from being indexed.
You cannot eliminate the built-in id property though; if you don't set it explicitly, it will just be set to a guid.
If you are doing queries, this really shouldn't matter, functionality-wise. Just search on whatever properties you want. However: If you are doing point-reads (a read is more efficient, RU-wise, than a query, when retrieving a single document) you can only perform a point-read by specifying the id property, not your custom property. If you must use a custom property and you need to do point-reads, you can consider storing your custom property as id as well (as long as it's guaranteed to be unique per document).
Related
I am working on Azure and I have created a database with Cosmos DB SQL API. After creating a container I see that the primary key is always named "id". Is there any way to create a container with PK with name different than "id"?
Every document has a unique id called id. This cannot be altered. If you don't set a value, it is assigned a GUID.
When using methods such as ReadDocument() (or equivalent, based on the SDK) for direct reads instead of queries, a document's id property must be specified.
Now, as far as partitioning goes, you can choose any property you want to use as the partition key.
And if you have additional domain-specific identifiers (maybe a part number), you can always store those in their own properties as well. In this example though, just remember that, while you can query for documents containing a specific part number, you can only do a direct-read via id. If direct reads will be the majority of your read operations, then it's worth considering the use of id to store such a value.
PK = primary key, by the way ;) It's the "main" key for the record, it is not private :)
And no, as far as I know you cannot change the primary key name. It is always "id". Specifically it must be in lowercase, "Id" is not accepted.
The data I have is of the form
{"event": {"custom": {"dimensions": [{"Id": ....}, {},...{}]}, ...},...}
The key that I need to index by is in the list. However, Cognitive Search does not seem to let me access the value within the list. Azure Cog. Search also fails to access any content from the list while trying to index.
Are there any solutions you can think?
Not sure how you're trying, but Azure Cognitive Search supports Complex types. Take a look in the following link:
https://learn.microsoft.com/en-us/azure/search/search-howto-complex-data-types
As an Alternative, you can project the internal dimensions (assuming they have a fixed number of dimensions) to fields in your index.
When using Indexers to import the data, key fields are limited to what can be expressed in a field mapping which has some support for mapping functions but wont allow you to select a value of an object in a collection. Your only options are to pre-process and transform the data (such as a query if this is coming from Cosmos DB, or azure function trigger if coming from blobs) or use a different field as the id and put the dimension id in another field that is queryable.
To make the data queryable you can use complex types or if the dimensions are always in the same ordinal you can use output field mappings to map it to a field by collection ordinal such as /document/event/custom/dimensions/1.
We want to check if a document already exists in the database with the same fields and values of a new object we are trying to save to prevent duplicated item.
Note: This question is not about updating documents or about duplicated document IDs, we only check the data to prevent saving a new document with the same data of an existing one.
Preferably we'd like to accomplish this with Mango/Cloudant queries and not rely on views.
The idea so far is:
1) Scan the the data that we are trying to save and dynamically create a selector that matches that document's structure. (We can't have the selectors hardcoded because we have types of many documents)
2) Query de DB with for any documents matching that selector to if any document already exists that matches those criteria.
However I wonder about the performance of this approach since many of the selector fields will not be indexed.
I also much rather follow best practices than create something out of the blue, but haven't been able to find any known solutions for this specific scenario.
If you happen to know of any, please share.
Option 1 - Define a meaningful ID for your documents
The ID could be a logical coposition or a computed hash from the values that should be unique
If you want to check if a document ID already exists you can use the HEAD method
HEAD /db/docId
which returns 200-OK if the docId exits on the database.
If you would like to check if you have the same content in the new document and in the previous one, you may use the Validate Document Update Function which allows to compare both documents.
function(newDoc, oldDoc, userCtx, secObj) {
...
}
Option 2 - Use content hash computed outside CouchDB
Before create or update a document a hash should be computed using the values of the attributes that should be unique.
The hash is included in the document in a new attribute i.e. "key_hash"
Create a mango index using the "key_hash" attribute
When a new doc should be inserted, the hash should be computed and find for documents with the same hash value using a mango expression before the doc is inserted.
Option 3 - Compute hash in a View
Define a view which emit the computed hash for each document as key
Couchdb Javascript support does not include hashing functions, this could be difficult to include in a design document.
Use erlang to define the map function, where you can access to the erlang support for hashing.
Before creating a new document you should query the view using a the hash that you need to compute previously.
One solution would be to take Juanjo's and Alexis's comment one step further.
Select the keys you wish to keep unique
Put the values in a string and generate a hash
Set the document's _id to that hash
PUT the document on the database.
check return for failure
If another document already exists on the database with the same _id value, the PUT request will fail.
I have a case in my customisation project, were I have a PXSelector that I want it to solely act as a lookup, and would not like the users to input any data via the selector and create new records.
I could not find a way to limit this from the attribute itself, therefore I tried to limit it from the events that the control fires. The idea was that in the FieldUpdating Event I would verify whether the value inserted by the user can be found in the selector's key column, if not I would revert it back to the old value. The problem was that cancelling the event had no effect on the selector and since I did not know what the previous value was, I could not revert it back manually.
It sounds like you are trying to use a filter. You need a PXFilter view which then could be used to display data in a grid for example.
You can search the source for "PXFilter to find good examples. One I found is APVendorBalanceEnq which uses public PXFilter<APHistoryFilter> Filter
PXFilter views are not committed to the database. Typically you would create a new DAC for the filter based on your needs but you can use existing DACs that are bound to tables without the fear of the data making it to the database. With the filter you simply use the field values rather than load records into the view.
I am facing an issue with extended attributes on a document (trying to extend a document table). I created the original table’s PK (FDOC_NBR) in the extended table and linked the two via a foreignKey of the customized original table’s ojb entry (as an “extension” reference-descriptor). I created the bo and dd for the extension and customized the original document’s dd to add the new attributes. On the extended BO itself I also added members (with setters and getters) for the 2 new columns + for the PK column of documentNumber. I also added the new attributes to the documet’s jsp. The pertinent module definition was already extended to include custom dd, ojb, etc. files.
Indeed, when opening the document the new fields are shown- however, when trying to submit the document (regardless of doing anything with the new fields) I get an error-
Error Details: OJB operation; SQL []; ORA-01400: cannot insert NULL
into ("KFSTEM"."TEM_TRVL_ARRANGER_DOC_EXT_T"."FDOC_NBR") ; nested
exception is java.sql.SQLIntegrityConstraintViolationException:
ORA-01400: cannot insert NULL into
("KFSTEM"."TEM_TRVL_ARRANGER_DOC_EXT_T"."FDOC_NBR")
Seems like somehow the system tries to insert a value of NULL into the extension’s PK field, instead of the actual document number. Trying to debug this, in the action’s route method and all the way down to DocumentDaoOjb.save (which is as far down as I can go) I see the document with the real doc number is passed on, so the problem seems to be purely with ojb trying to set this number to the extension table.
Does anyone have any experience with extended attributes on documents that could help shed some light on this?
KFS is using the KNS, and in the Kuali Nervous System, the primary key on the extended attributes object must be set through manual intervention.
In this case, it looks as if you're adding an extended attribute to a transactional document, the Travel Arranger document (TAA), which simplifies things. Basically, you'll need to extend org.kuali.kfs.module.tem.document.TravelArrangerDocument and override prepareForSave to set the document number there (it may be set already since prepareForSave should be called several times during the routing process, but there's no real harm from overwriting that information as the base document's number will remain the same).
Hope this helps!