如何确认IBM Cloud上Apache Spark服务版本及解决仪表板异常

Got it, let's tackle this—you need to confirm your Spark version after getting that end-of-support notice for 1.6, and the usual methods aren't working. Here are three solid ways to get the info you need:

1. Use a Data Science Experience (DSX) Jupyter Notebook #

This is probably the quickest way if you're already using DSX with your Spark instance:

• Open your DSX workspace, fire up an existing Jupyter Notebook (or create a new one linked to your Spark service).
• Drop a new code cell and run either of these commands:

  # For Spark 2.x+, using SparkSession (recommended)
  spark.version
  
  # Older approach using SparkContext
  sc.version
  

• Hit run, and the output will show your exact Spark version (something like 2.3.3 or 2.4.5).

2. Use the IBM Cloud CLI with the Spark Plugin #

The basic bx service show command doesn't include version details, so you'll need the dedicated Spark plugin:

1. First, install the plugin if you haven't already:

   bx plugin install spark
   

2. Log in to your IBM Cloud account and target the right region/space:

   bx login
   bx target --cf
   

3. Run this command to get full details about your Spark instance, including the version:

   bx spark service show "Apache Spark-bc" --long
   

   Look for a line labeled Spark Version in the output—it will explicitly tell you which 2.x release you're on.

3. Check the IBM Cloud Console UI #

If you prefer the web interface, here's where to look:

• Head to the IBM Cloud Console, go to your Resource List, and find your "Apache Spark-bc" service instance.
• Click into the instance to open its details page.
• Look for the Configuration or Service Details tab (labeling might vary a bit by region).
• Scroll through the settings, and you'll find a "Spark Version" entry listed with other instance info.

Quick Note on the Dashboard Error #

That Internal Server Error on the Spark dashboard is almost certainly a temporary platform glitch. Try reloading the page after a few minutes, or if it sticks around, reach out to IBM Cloud support to get it sorted.

内容的提问来源于stack exchange，提问作者Chris Ratcliffe