Management | Management Endpoints used to allow insight | Dataset library

This problem's caused by a bug in Springfox. It's making an assumption about how Spring MVC is set up that doesn't always hold true. Specifically, it's assuming that MVC's path matching will use the Ant-based path matcher and not the PathPattern-based matcher. PathPattern-based matching has been an option for some time now and is the default as of Spring Boot 2.6.

As described in Spring Boot 2.6's release notes, you can restore the configuration that Springfox assumes will be used by setting spring.mvc.pathmatch.matching-strategy to ant-path-matcher in your application.properties file. Note that this will only work if you are not using Spring Boot's Actuator. The Actuator always uses PathPattern-based parsing, irrespective of the configured matching-strategy. A change to Springfox will be required if you want to use it with the Actuator in Spring Boot 2.6 and later.

The message typically entails that your JAVA_HOME environment variable points to a different Java version.

Here are the steps to follow:

• Close IntelliJ IDEA
• Open a terminal window and check your JAVA_HOME variable value:
  • *nix system: echo $JAVA_HOME
  • Windows system: echo %JAVA_HOME%
• The JAVA_HOME path should be pointing to a different path, then set it to the openjdk-17 path:
  • *nix system: export JAVA_HOME=/path/to/openjdk-17
  • Windows system: set JAVA_HOME=path\to\openjdk-17
• Open your project again in IntelliJ IDEA
• Make sure to set both source and target compatibility versions (not only the sourceCompatibility)

You should be able to build your project.

You may need also to instruct Gradle to use a different JVM than the one it uses itself by setting the Java plugin toolchain to your target version:

I solved it by doing the following steps:-

1. I updated the pyproject.toml(This file contains all the library/dependency/dev dependency)with the numpy version that I installed using pip install numpy command.

2. Run poetry lock to update poetry.lock file(contains details information about the library)

3. Run poetry install again, & it should work fine.

If you are having any problems, you can comment. I`ll try to answer it.

Microsoft.Data.SqlClient 4.0 is using ENCRYPT=True by default. Either you put a certificate on the server (not a self signed one) or you put

TrustServerCertificate=Yes;

on the connection string.

Edit:

On second thought, when creating the JceOpenSSLPKCS8DecryptorProviderBuilder, you're not explicitly specifying the provider:

This is because of a root CA Let’s Encrypt uses (and Mongo Atals uses Let's Encrypt) has expired on 2020-09-30 - namely the "IdentTrust DST Root CA X3" one.

The fix is to manually install in the Windows certificate store the "ISRG Root X1" and "ISRG Root X2" root certificates, and the "Let’s Encrypt R3" intermediate one - link to their official site - https://letsencrypt.org/certificates/

Copy from the comments: download the .der field from the 1st category, download, double click and follow the wizard to install it.

Unfortunately (?), the easiest way to know for sure what those categories map to is to look at OpenJDK source code. The NMT tag you are looking for is mtServiceability. This would show that "serviceability" are basically diagnostic interfaces in JDK/JVM: JVMTI, heap dumps, etc.

But the same kind of thing is clear from observing that stack trace sample you are showing mentions ThreadStackTrace::dump_stack_at_safepoint -- that is something that dumps the thread information, for example for jstack, heap dump, etc. If you have a suspicion for the memory leak in that code, you might try to build a MCVE demonstrating it, and submitting the bug against OpenJDK, or showing it to a fellow OpenJDK developer. You probably know better what your application is doing to cause thread dumps, focus there.

That being said, I don't see any obvious memory leaks in StackFrameInfo, neither can I reproduce any leak with stress tests, so maybe what you are seeing is "just" thread dumping over the larger and larger thread stacks. Or you capture it when thread dump is happening. Or... It is hard to say without the MCVE.

Update: After playing with MCVE, I realized that it reproduces with 17.0.1, but not with either mainline development JDK, or JDK 18 EA, or JDK 17.0.2 EA. I tested with 17.0.2 EA before, so was not seeing it, dang. Bisection between 17.0.1 and 17.0.2 EA shows it was fixed with JDK-8273902 backport. 17.0.2 releases this week, so the bug should disappear after you upgrade.

You can downgrade your Python version. That should solve your problem; if not, use collections.abc.Mapping instead of the deprecated collections.Mapping.

Refer here: Link

You can do calculations within a function for the x and y values to construct the ggplot which extends the circle all the way round and gives labels correct heights.

I've adapted a function to work with other datasets. This takes a dataset in a tidy format, with:

• a 'year' column
• one row per 'event'
• a grouping variable (such as country)

I've used Nobel laurate data from here as an example dataset to show the function in practice. Data setup: