TServer | DJANGO REST API SERVER | REST library

The easiest way to know which fields are stored for a lucene document is to open the index via lucene and to read in a document and then look at the list of fields for the document. Fields that are indexed but not stored will not show up in the list of the fields for the document.

Here is an example in Lucene.Net 4.8 that I wrote for you that hopefully can give you an good idea of how to check which fields are stored for a document. The syntax for you will of course be a bit different if you are using Java rather than C# and you will be using an older version of Lucene. But this chunk of code should hopefully get you a long way there.

In this example there are two documents added each with three fields. But only two of the three fields are stored, even though all three fields are indexed. I have placed a comment in the code where you can see which fields are stored for each document. In this example only two fields for each document will be in the d.Fields list because only two fields are stored.

hadoop 3.1 not support this feature, need 3.2 update

Actually it seems not possible/foreseen at all: https://github.com/apache/thrift/blob/master/lib/py/src/server/TServer.py

As you noticed, there is no stop() and all three servers implementations currently loop endlessly while true.

The usual approach, assumed someone would be going to add this, would be to have a stop() method which sets some flag or the like to indicate termination. The call to it must be made from another thread, since the first one is still kept inside serve() while serving.

Bottom line: Seems not implemented yet.

You use the commands for Hazelcast (and Management Center) version 4.0, but you actually run images 3.12.5. The mechanism how Management Center is connected has changed. So you need to either use the most recent version or apply the instructions for 3.12.5, like this:

I encountered the same issue with PyCharm recently. Based on their forum post it's a known issue that will be fixed in the next release of Pycharm 2019.1. The only way that I have found to get around this is to create an environment using python 3.6. If you use that environment as your interpreter PyCharm should work properly. Hope this helps.

You can try to set system environment variables, like "C:\Python\Anaconda3;C:\Python\Anaconda3\Scripts; C:\Python\Anaconda3\Library\bin;".

Only "C:\Python\Anaconda3\Scripts;" is not enough, and it works to me.

Am I taking the correct approach to reintroducing an event handler?

Probably yes. Thanks to clumsy design of TService class you're not able to override a method that raises the event.

What am I doing wrong with the Setter accessor method?

The problem is in fact in your constructor:

We are trying to reproduce this internally and will get back to you. In the meanwhile, could you please check the tserver.err file and the tserver.INFO logs (how to find yb-ctl tserver logs instructions) to see if anything bad is happening? Feels like the tservers are not up and running.

Either of those options would work. A yb-tserver can utilize multiple disks, it will spray the data for the tablets it hosts across multiple disks and utilize them.

That said, there are other factors matter, outlining some of them below:

• The most important consideration is the size of the machines (number of vCPU's / CPU cores) in the two cases. We recommend nodes which are at least 8 or 16 cores to achieve optimal performance. In your setup, assuming that in option #2 you would use smaller machines with half the number of vCPUs (so that the aggregate vCPUs across cluster remains the same in both cases) - please pick which ever setup gets you to at least 8 cores. If both cases are less than 8 vCPUs, then option #1 is better since it has more cores.

• Assuming both options satisfy the above point, a second consideration is the impact of a failure. If you have more nodes, the impact of a failure is not as high on the cluster compared to fewer nodes - so from this perspective, option #1 is better. Of course, the reality is a bit more nuanced - factors such as is it a multi-zone setup vs single zone, etc will affect this decision.

Hope that helps.