Moved from GitHub dgraph/4516
Posted by rahst12:
Experience Report
I am currently ingesting a large continuous streaming data set. The most recent data is the most important data. The oldest - either by policy or by least importance needs to be aged-off. Today, we use Neo4J Community Edition. We perform a query to find nodes/relationships older than a specific date and then delete them.
Note: Feature requests are judged based on user experience and modeled on Go Experience Reports. These reports should focus on the problems: they should not focus on and need not propose solutions.
What you wanted to do
After x number of days, I want to age off data - without having to issue a query/mutation to find the data and remove it.
What you actually did
Today, we use Neo4J Community Edition. We perform a query to find nodes/relationships older than a specific date and then delete them.
Why that wasn’t great, with examples
N/A - the issues are with Neo4J - this is just a clear improvement over the Neo4J product that, while evaluating Dgraph is an obvious plus (especially because Badger has it).
Any external references to support your case
