pbc | A protocol buffers library for C | Networking library

I might be able to tell you a bit about what the planner is thinking here, although I don't know exactly why it goes wrong. In the top 2 nodes of the slow plan, you can see the second one is far higher than the first one (2,234,398.29 vs 20,326.53). So it is thinking the highest value of pbc.id it finds in the last node (patientbillconcession) will be very small, and that it can abandon the 2nd node's execution once the returned value of pft.concession_id exceeds the highest observed value of pbc.id, and that this will happen after doing <1% of the work of the gather merge and the nodes below it. (On the other hand, the expected row counts from the top two nodes are the same, so that seems inconsistent with this "thinks it can stop early" theory, so maybe there is a planner bug here. Can you reproduce this with randomly generated data?).

What can you do about it? First step would be VACUUM ANALYZE everything to make sure you still have the problem with fresh stats.

If that doesn't work, you can use the big guns and just wrap the fast query in with t as materialized (...) and then join "t" to patientbillconcession. But if you have many similar queries with similar problems, it would be a bit tedious to fix them one by one in this way.

If you can share some anonymized version of the data which still has the problem, or better yet a generator script to generate random data which has the problem, we could get closer to a root cause.

Looking at the slowest step of the slowest plan, I wonder if an index on pri (id, createtime) would help avoid hitting the table so often for rows that turn out not to qualify? I suspect that this where the time is actually going, doing those 198,280 random reads. (turning track_io_timing on and repeating could help clarify that part).

Try this:

Move your shared fields to some new class:

Okay I think I figured it out. Please let me know if there is something inherently wrong about it.

It would be useful to make it possible to use CG groups as native atoms in order to reuse the analysis tools in MDAnalysis.

Here is a quick fix that mimics the MDAnalysis group and presents a new positions property. The new positions provides the centre of geometry instead of the actual positions. I also overwrite the len to convey that only one bead is being used for the CG element.

A recent update to rmarkdown (in version 2.6) changed how HTML widgets are included in the output file to use pandoc's raw HTML blocks. Unfortunately, this feature isn't compatible with the JavaScript markdown library used by xaringan. You can disable this feature and resolve the issue with htmlwidgets in xaringan slides by setting

In ASP.NET Core gRPC for WCF developers the Repeated fields for lists and arrays section explains that

repeated fields are represented by read-only properties of the Google.Protobuf.Collections.RepeatedField type rather than any of the built-in .NET collection types. This type implements all the standard .NET collection interfaces, such as IList and IEnumerable. So you can use LINQ queries or convert it to an array or a list easily.

You'll have to use Add/AddRange to add items to that property , eg:

You could certainly set the format to a fixed value for the last slide, e.g. %current% / 34. But you can also set it to a Javascript function. (Edited to add:) The tricky part is that you need to include all the options that would normally appear in the nature argument as well. So you want something like

The problem is there is file with code which is not compatible with MSVC. sys/time.h is included in benchmarkmodule.h and unfortunately this file does not exit in MSVC.

Try to install mingw, set the CC to mingw compiler and run the pip3 command . If it still not working you can try to build it directly like explained in https://jhuisi.github.io/charm/install_source.html.

In all cases you will need a mingw compiler. However, it may be complicated.
You will need to install the msvc redistributable. When you run the make command, f you face the error Unknown MS Compiler version 1927. modify the cygwinccompiler.py file by adding :