SAX | Java implementation of SAX , HOT-SAX , and EMMA | Time Series Database library

Had the same issue during an upgrade. It wasn't a Spring issue, and you don't want to override the implementation yourself.

SAXParserFactory is an abstract class - it can have multiple implementations. The newInstance method picks the last/top implementation on the classpath.

I had found that I had an "extra" implementation on my classpath due to a dependency having their own implementation of SAXParserFactory rather than the 'typical' implementation that Logback expects. And this "extra" SAXParserFactory did not support the feature that Logback is trying to enable.

I had to explicitly declare a xerces implementation higher in my dependencies in order for a "real" implementation to take precedence over the other "extra" implementation on the classpath.

So my advice is for you to see what implementations of this abstract class you have (I could easily see this using the IntelliJ IDE), then manage/re-arrange your dependencies so that a proper implementation supporting the feature has a higher precedence on your classpath.

trace.marker.color accepts an array, which you can use to give an individual color to each data point.

Welcome to dependency hell and breaking changes in libraries.

This usually happens, when various lib bring in different version of same lib. In this case it is Jackson. java.lang.NoSuchMethodError: com.fasterxml.jackson.dataformat.xml.XmlMapper.coercionConfigDefaults()Lcom/fasterxml/jackson/databind/cfg/MutableCoercionConfig; means: One lib probably require Jackson version, which has this method, but on class path is version, which does not yet have this funcion or got removed bcs was deprecated or renamed.

In case like this is good to print dependency tree and check version of Jackson required in libs. And if possible use newer versions of requid libs.

Solution: use libs, which use compatible versions of Jackson lib. No other shortcut possible.

One of the dependencies for python-docx is lxml. The latest stable version of lxml is 4.6.3, released on March 21, 2021. On PyPI there is no lxml wheel for 3.10, yet. So it try to compile from source and for that Microsoft Visual C++ 14.0 or greater is required, as stated in the error.

However you can manually install lxml, before install python-docx. Download and install unofficial binary from Gohlke Alternatively you can use pipwin to install it from Gohlke. Note there may still be problems with dependencies for lxml.

Of course, you can also downgrade to python3.9.

EDIT: As of 14 Dec 2021 the latest lxml version 4.7.1 supports python 3.10

Because they’re not inherited.

You could say

should enclose ... instead of tag

Here is the correct code:

One other thing:

It compiles, when you'll add jaxb-runtime dependency, as below:

The rebalance in Kafka is a protocol and is used by various components (Kafka connect, Kafka streams, Schema registry etc.) for various purposes.

In the most simplest form, a rebalance is triggered whenever there is any change in the metadata.

Now, the word metadata can have many meanings - for example:

• In the case of a topic, it's metadata could be the topic partitions and/or replicas and where (which broker) they are stored
• In the case of a consumer group, it could be the number of consumers that are a part of the group and the partitions they are consuming the messages from etc.

The above examples are by no means exhaustive i.e. there is more metadata for topics and consumer groups but I wouldn't go into more details here.

So, if there is any change in:

• The number of partitions or replicas of a topic such as addition, removal or unavailability
• The number of consumers in a consumer group such as addition or removal
• Other similar changes...

A rebalance will be triggered. In the case of consumer group rebalancing, consumer applications need to be robust enough to cater for such scenarios.

So rebalances are a feature. However, in your case it appears that it is happening very frequently so you may need to investigate the logs on your client application and the cluster.

Following are a couple of references that might help:

1. Rebalance protocol - A very good article on medium on this subject
2. Consumer rebalancing - Another post on SO focusing on consumer rebalancing