That looks like a null, so why doesn’t it equal null? Exploring the actual data types.
MarkLogic’s temporal feature allows an out-of-the-box way to preserve copies of a document when it gets updated. How do we make a non-temporal document temporal? This post looks at what updates we need to make.
Have you been assigned as a MarkLogic DBA? Need to hire one? Here’s what to expect.
In my last post, I talked about using the bindings parameter of MarkLogic’s sem.sparql function to look for multiple values in a SPARQL query. It turns out that approach doesn’t work for SPARQL Update. Let’s look at how we can do it.
With MarkLogic’s SPARQL queries, we can bind values to constraint the query. Using this capability, we can gather information about something of interest. But what if I want to query against multiple values?
Scoping queries can have a big impact on the performance of an Optic API query.
MarkLogic implicitly converts data types when populating type-specific indexes. Keep in mind that the Universal Index works with exactly what you give it.
When our input data has numbered fields that we want to convert to an array, how do we express that in MarkLogic’s Hub Central?
Hub Central builds a TDE template for each entity for me, so why am I getting “SQL-TABLENOTFOUND — Unknown table”?
MarkLogic’s sem.sparqlUpdate normally runs as a separate transaction, which has implications for how locks are managed.