I would like to configure datasource including ia. field mapping for json string containing collection.
Yes you can - get the latest Azure Search SDK from nuget.org and use DataSource.AzureTableStorage method.
You no longer need to use field mappings to populate string collection fields - Azure Search will do this for you automatically as long as the strings are formatted as a JSON array of strings. However, should you need field mappings for other reasons, they are available as FieldMappings property of Indexer class.
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I just changed my springboot from using Postgresql to mongo, i am trying to get the mongodb to leave out a property when storing an object in MongoDB, but the #Transient field doesnt work. Is there a way to do this ?
#Transient is supposed to work with Spring Data MongoDB.
From the Spring Data MongoDB documentation:
#Transient: By default all private fields are mapped to the document,
this annotation excludes the field where it is applied from being
stored in the database
If it isn't working for you, I suggest including your code in your question.
Note that if you forgot to add #Transient and added some data to your database, then later added #Transient to a field, Spring Data Mongo isn't going to go through the database collection and delete that field from all the documents that currently have it, it just won't include that field in any new documents it saves to the collection.
i am new in salesforce sales cloud. I created custom fields in candidate, but When I transform on account I do not see those fields. Is there any configuration for that? Or should I create those same fields in accounts?
Thanks friends.
First you need to create fields in both objects and then map them thru Lead Conversion Mapping in setup. Then when you convert lead to account, you will see that the content will be transferred.
You must create them on Accounts as well. Each table must be configured independently.
I have multiple Azure tables across multiple Azure storage that have the exact same format. Is it possible to configure several data sources in Azure-search to use a unique Index so that a search on this Index would return the results aggregated from all data sources (Azure tables)?
So far, each time I configure a new 'Data Sources' and the corresponding index, I must create a new index (with a new index name). Attempting to reuse an existing index name results in an error stating "Another index with this name already exists"
Thank you for any help or pointer you might provide.
Yes, it's possible, but we don't currently support it in the Azure Portal.
When you go through the "import data" flow in the portal, it'll create a data source, indexer and index for you.
If you want more sources for that index, you need to create new data sources and indexers, with the new indexers pointing at the existing index. Unfortunately this is not currently supported from the portal. You can do it using the .NET SDK (if you're using .NET), directly using the REST API from your app, or using any tool that can make HTTP requests such as PowerShell, curl or Fiddler.
The documentation that describes the indexer-related REST APIs is here:
https://msdn.microsoft.com/en-us/library/azure/dn946891.aspx
I have a specific field that I am trying to find. The salesforce instance I am in has hundreds of tables/objects so I can't look through them manually.
I also only have read only access, so I can't run an APEX script or create objects. I am using an API to access the database, and store the data outside of salesforce.
What I need is to find the object/table that this field is stored in so I can write an SOQL query to get the field's values. Any ideas?
Easiest way is with Workbench.
I need to add full-text search capabilities to my existing database. Of course first turn is to something like Solr or Elastic Search. And the blocking point I’ve got to is – how to securely display results returned from underlying search engine (let’s think about Solr or Elastic Search for now, however any other solution or engine that hit the point are also appreciated).
The tricky context is that I have, for example, in my system Personal Profile records that are to be indexed. One of the fields in personal profile is – manager’s feedback. Normally in the system that field is visible only to employee’s direct manager and higher hierarchy, i.e. ‘manager’ from another branch will not be able to see that field. However, I want that field to be searchable via full text search but only for people who actually can see it.
Now I query Solr for ‘stupid’ (that is query string) and it returns me N documents. When returning that to end-user I’ll remove the ‘Manager’s feedback’ field because end-user is not the manager of given people – but just presence of the document in resultset is already the evidence of ‘stupid’ guys …
The question is – what is workable approach to handle that use-case? Is it possible to plug into Solr/ES with home-grown security filter for outputs?
Caveats:
filtering out only fields do not work because of above mentioned scenario
filtering out complete documents will not work because of
search engine does not tell which fields matched – therefore no way to manually filter resultset by field http://elasticsearch-users.115913.n3.nabble.com/Best-way-to-return-which-field-matched-td2713071.html
even this does work, removing documents from result set will spoil down facets (e.g. number of matches by department) returned by the engine – I’ll have to either recalculate facets manually or they will not match to manually filtered records and will reveal what I actually do not want to show to end users
In Solr you can create multiValued fields. In your case you can use it to store de-normalized values of organization structure.
In described scenario you will create multi valued field ouId (Organization Unit Id) and store employee's ouId and all parent ouIds. In other words you will save allowed ouIds into this field.
In search scenario you will use FilterQuery - fq parameter filtering by ouId of manager.
Example:
..&fq=ouId:12
where 12 is organization unit id of selected manager.
Maybe this is helpful for you https://github.com/salyh/elasticsearch-security-plugin It adds Document level security to elasticsearch.
"Currently for user based authentication and authorization Kerberos/SPNEGO and NTLM are supported through 3rd party library waffle (only on windows servers). For UNIX servers Kerberos/SPNEGO is supported through tomcat build in SPNEGO Valve (Works with any Kerberos implementation. For authorization either Active Directory and generic LDAP is supported). PKI/SSL client certificate authentication is also supported (CLIENT-CERT method). SSL/TLS is also supported without client authentication.
You can use this plugin also without Kerberos/NTLM/PKI but then only host based authentication is available.
As of now two security modules are implemented:
Actionpathfilter: Restrict actions against Elasticsearch on a coarse-grained level like who is allowed to to READ, WRITE or even ADMIN rest api calls
Document level security (dls): Restrict actions on document level like who is allowed to query for which fields within a document"