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Cassandra map collection returned by node.js Helenus looks odd


Cassandra map collection returned by node.js Helenus looks odd

By : S Thomas
Date : November 28 2020, 08:01 AM
To fix this issue Appears to be a bug with the helenus package https://github.com/simplereach/helenus/issues/113.
code :


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Cassandra 2.0 Helenus Driver in node.js TTL and TS returned are incorrect

Cassandra 2.0 Helenus Driver in node.js TTL and TS returned are incorrect


By : Umair Ali
Date : March 29 2020, 07:55 AM
like below fixes the issue Pretty much everything I'm reading on the Helenus project page makes me think that it's not compatible with Apache Cassandra 2.0/CQL3
To exemplify:
Fail to open thrift connection to Cassandra node via spark-cassandra-connector

Fail to open thrift connection to Cassandra node via spark-cassandra-connector


By : user3198418
Date : March 29 2020, 07:55 AM
should help you out Ok, I was about to post this question but then I finally worked it out:
In cassandra.yaml, I had to set
code :
rpc_adress = 0.0.0.0
C# The TreeView.Nodes.find method returns a collection of length > 0, but the index of returned node is 0

C# The TreeView.Nodes.find method returns a collection of length > 0, but the index of returned node is 0


By : Randall Futrzers
Date : March 29 2020, 07:55 AM
wish helps you Well, I found the issue and figured I'd answer my question in case this might help others.
The problem was I wasn't pointing to the parent node (parentNight) when searching for the child node (division).
code :
    private void AddPlayerToTreeView(string playerName, string division, DateTime selDate)
    {
        TreeNode tn = new TreeNode();
        string shrtDate = selDate.ToShortDateString();

        //check to see if the date exists (shortdate format)
        // if doesn't exist: create the Night node and call the function recursively
        // if exists, check to see if division exists:
        //   if doesn't exist: create the Division node and call the function recursively
        //   if exists, add player


        TreeNode[] tns = this.tview_roster.Nodes.Find(shrtDate, false); //find the date in the root nodes

        if(tns.Length == 0) //the date doesn't exist in the list
        {
            tn = this.tview_roster.Nodes.Add(shrtDate, shrtDate);
            tn.ImageIndex = 2; //date icon

            this.AddPlayerToTreeView(playerName, division, selDate);
        }
        else //date exists, try to find division within it
        {
            var parentNight = tns[0].Index; //save the index of the night node

            tns = this.tview_roster.Nodes[parentNight].Nodes.Find(division, false); //search child nodes

            if (tns.Length == 0) //division doesn't exist, create it (and child nodes in recursive call)
            {
                tn = this.tview_roster.Nodes[parentNight].Nodes.Add(division, division);
                tn.ImageIndex = 1; //division icon

                this.AddPlayerToTreeView(playerName, division, selDate);
            }
            else //division exists, add player
            {
                var parentDiv = tns[0].Index; //save the index of the division node

                tn = this.tview_roster.Nodes[parentNight].Nodes[parentDiv].Nodes.Add(playerName, playerName);
                tn.ImageIndex = 0; //player icon
            }
        }
    }
nodejs, Store Data in Cassandra using helenus

nodejs, Store Data in Cassandra using helenus


By : Serg Bazylenko
Date : March 29 2020, 07:55 AM
like below fixes the issue The string representation of an object is [Object Object], so when you have nested objects, that's what toString() will return.
You should be using JSON.stringify and JSON.parse instead, and if the name is never nested, you could do
Cassandra Scaling: Is it a good idea to use a common mount for multi node Cassandra DB?

Cassandra Scaling: Is it a good idea to use a common mount for multi node Cassandra DB?


By : rezhin
Date : March 29 2020, 07:55 AM
wish of those help No, it is not a good idea to do that. Essentially, you're trading disk I/O for network I/O; so it'll perform terribly. Also, you're introducing a single point of failure into your cluster.
DataStax published a blog post on this a couple of years ago. The important thing to remember, is that blog posts don't usually happen about isolated incidents. They happen because someone sees the same thing causing problems over and over again, and they're trying to stop others from rationalizing that same mistake.
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