Inside a loop I was accessing an object within a dictionary multiple times, transform and visualize it. The intention was, to have all transformation isolated from each other. What actually happened though, was that those transformations accumulated because of Python’s Pass by object reference behavior. Let’s look into this: I would have expected, that the …
TLDR: A dictionary in json treats all keys as string, while a python dict distinguishes not only between the content but also its datatype (see stackoverflow). When saving a dictionary into a json and reloading the dictionary from it, you have to be careful not to implicitely convert the original numeric key into a key …
Duplicate Keys when Generating a Json from a Dictionary in Python Read More »
The ulterior motive is to embed a Superset Dashboard into e.g. a REACT application. To achieve this, one step includes the creation of guest tokens (service accounts). This process is (in my opinion) not sufficiently well documented, which is why i try to close this gap with this blog post. Overview To achieve the embedding …
How To Create A Superset Guest Token With Python To Embed Dashboards Read More »
TLDR: It is possible to dynamically create dags with only one dag script. However, at task execution the original dag script will be parsed once again. This results in unnecessary parsing iterations of dags, which are not the parent dag of the task at hand. Observation We have a script to dynamically create dags as …
Your OCI Kubernetes Cluster might have a little tool tip which states “migration required”. This is because, “in earlier releases (before March 16, 2021), Container Engine for Kubernetes provisioned clusters with Kubernetes API endpoints that were not integrated into your own VCN.” (oracle doc). Situation at Hand While you could specify custom VCNs, subnets and …
Migrating existing OCI Kubernetes to VCN-Native Cluster with Terraform Read More »
Recently i participated in a hackerthon, in which the goal was to create a near real time monitoring dashboard using Microsoft PowerBI. The data was already generated and persisted in SQLServer and needed to be queried efficiently. Since i am working with a different tech stack now, this endeavour was completely new for me and i learned a lot, which i like to document here.
The other day we had a moderate complex query which involved around 270000 rows but run for over an hour. After updating the statistics the query finished in only 4 seconds.
A deployed pod is stuck in pending status. Looking deeper into the pod a warning appears: 0/3 nodes are available: 3 node(s) had no available volume zone.
We observed a problem where dags did not run at the specified time at all but consistently started at a random time. Let’s dig into it.
