The Delay in Meteor's Data Transfer between Publish and Subscription

I am utilizing d3 to visualize a compilation of meteors (Hostiles) on an image based on their x and y coordinates. This process is successful for me. However, I have a publish function that verifies the user's login status to determine if they are an admin or just a regular user. If the user is identified as an admin, all points are displayed using d3, whereas for any other user, only points specific to their location are drawn.

//Determining Points to Display Based on User Type
if (user === true) {
  //Display all points for Admin users
  return Hostiles.find();
} else {
  //Display location-specific points for other users 
  return Hostiles.find({latitude: {$lte: xLoc + 80, $gte: xLoc - 80}, longitude: {$lte: yLoc + 80, $gte: yLoc - 80}});
};

The functionality described above works well. However, issues arise when I modify the xLoc and yLoc values for a particular Hostile location. While changes reflect instantaneously for admins, there is a noticeable delay in redrawing for normal users. The redraw process using d3 typically takes somewhere between 3-10 seconds for normal users. Both my subscription and d3 drawing are enclosed within a Meteor.autorun(function() { block on the client side. Is there a solution to address this lag? Thank you.

Answer №1

"MongoDB's current oplog functionality only allows for equality comparisons on scalar fields. For all other operations, such as your lte/gte checks, the old 10-second poll-and-diff method is still used. However, this will be changing before version 1.0, with the Meteor team planning to introduce more operators to the oplog system." -@Cuberto Check it out here

Alternatively, there is a workaround available in the unreleased devel branch. Visit this link for more details. This workaround allows for the use of any selector supported by Minimongo that does not contain $where or $near clauses. You can simply run

meteor --release oplog-with-operators
to utilize this feature. A big thank you to @Cuberto and @alanning for sharing this clever solution.

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