Spanning Relationships Limit

Experienced Salesforce technical architects will always look to declarative solution options before considering technical alternatives. This type of thinking is best practice and indicative of an architect considerate of TCO (total cost of ownership), future maintenance etc.. In my case I’ll go as far as to challenge requirements such that I can deliver a fit for purpose solution using declarative features. In the main this is exactly the right approach – but in some cases there’s more to consider. Let me explain.

Large Data Volumes (LDV) is currently a hot topic within the Salesforce technical community, there’s some great resources and prescriptive guidance available. But aside from the data aspect, what about orgs with large and complex declarative and technical customisations? In some cases such LCOs (Large Customisation Org) have grown organically, in others the org is being used as a platform to deliver non-CRM functionality such as complex portal solutions, ERP etc.. In either case what we’re talking about here is an org with high levels of custom objects, workflow rules, formula fields, Apex script and so on. In such a scenario it is highly likely that the LCO will be constrained by capacity limits (maximum number or users, custom objects, data size etc.) or execution limits (governor limits applied to Apex scripts etc.). In the organic growth case, where an org may have started life in one business division and then expanded across the enterprise, there will certainly come a point where a multi-org strategy becomes the only option, continual refactoring and streamlining to provide additional headroom will eventually cease to be viable. In light of this multiple-org architectures are becoming more commonplace with enterprises partitioning over organisation structure or business process boundaries, enabling localised innovation and growth with some data sharing and consolidation. That said, the transition from the single-org to the multiple-org model is potentially costly and disruptive, as such the design factors to consider, to optimise the longevity of a single-org implementation in the face of organic growth, are key for an architect to understand and implement from the outset. A firm understanding of the applicable limits for the org type and user licensing model is the best starting point for this, combined with the practical experience of where limits are soft, and can be increased by support, and where limits are hard platform constraints. This latter type of limit being most relevant to the goal of optimising org longevity. An example being the Spanning Relationships limit.

Spanning Relationships Limit
This limit constrains the total number of unique object relationships which can be referenced in declarative build elements (workflow rules, validation rules etc.) associated with a single object. This is a significant constraint on larger data models, and typically surfaces first for the central standard objects (Account, Contact, Case etc.). The soft limit here is 10, the hard limit being 15, however there are also performance degradation considerations at anything over the 10 level. When this capacity limit is reached, the only options are to refactor the declarative implementation or revert to Apex script solution options. It is therefore critical to understand that this hard limit exists when designing a data model and also when adding declarative elements which introduce a new relationship traversal. There may be an argument for some level of denormalisation in the physical data model, it’s generally unlikely that a Salesforce data model would be in 3NF anyway, unlike a traditional RDBMS a data model optimised for storage is not always the right approach.

Returning back to my original point, in considering declarative solution options versus technical alternatives, the complexity of the data model, plus capacity limits applied to the declarative build model are also factors. There’s no silver bullet answer.

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