lz4 | LZ4 compression and decompression in pure Go | Compression library
kandi X-RAY | lz4 Summary
kandi X-RAY | lz4 Summary
This package provides a streaming interface to LZ4 data streams as well as low level compress and uncompress functions for LZ4 data blocks. The implementation is based on the reference C one.
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Copy// 1. Create config object
Config config = new Config();
config.useClusterServers()
// use "rediss://" for SSL connection
.addNodeAddress("redis://127.0.0.1:7181");
// or read config from file
config = Config.fromYAML(new File("config-f Community Discussions
Trending Discussions on lz4
QUESTION
What is the difference between Arrow IPC and Feather?
The official documentation says:
Version 2 (V2), the default version, which is exactly represented as the Arrow IPC file format on disk. V2 files support storing all Arrow data types as well as compression with LZ4 or ZSTD. V2 was first made available in Apache Arrow 0.17.0.
While vaex, a pandas alternative, has two different functions, one for Arrow IPC and one for Feather. polars, another pandas alternative, indicate that Arrow IPC and Feather are the same.
...ANSWER
Answered 2021-Jun-09 at 20:18TL;DR There is no difference between the Arrow IPC file format and Feather V2.
There's some confusion because of the two versions of Feather, and because of the Arrow IPC file format vs the Arrow IPC stream format.
For the two versions of Feather, see the FAQ entry:
What about the “Feather” file format?
The Feather v1 format was a simplified custom container for writing a subset of the Arrow format to disk prior to the development of the Arrow IPC file format. “Feather version 2” is now exactly the Arrow IPC file format and we have retained the “Feather” name and APIs for backwards compatibility.
So IPC == Feather(V2). Some places refer to Feather mean Feather(V1) which is different from the IPC file format. However, that doesn't seem to be the issue here: Polars and Vaex appear to use Feather to mean Feather(V2) (though Vaex slightly misleadingly says "Feather is exactly represented as the Arrow IPC file format on disk, but also support compression").
Vaex exposes both export_arrow and export_feather. This relates to another point of Arrow, as it defines both an IPC stream format and an IPC file format. They differ in that the file format has a magic string (for file identification) and a footer (to support random access reads) (documentation).
export_feather always writes the IPC file format (==FeatherV2), while export_arrow lets you choose between the IPC file format and the IPC stream format. Looking at where export_feather was added I think the confusion might stem from the PyArrow APIs making it obvious how to enable compression with the Feather API methods (which are a user-friendly convenience) but not with the IPC file writer (which is what export_arrow uses). But ultimately, the format being written is the same.
QUESTION
Getting this error while building docker images on Mac OS BigSur with M1 chip.
What I've tried: Installed docker for Apple Silicon Graphic M1 from docker site
It fails while trying to install RocksDB from Docker
...ANSWER
Answered 2021-May-31 at 17:35There are a couple of issues to address. The dockerfile as you have it will download a base golang ARM image, and try to use that to build. That's fine, as long as the required libs "know how" to build with an arm architecture. If they don't know how to build under arm (as seems to be the case here), you may want to try building under an AMD image of golang.
Intel / AMD containers will run under ARM docker on an M1. There are a few ways to build AMD containers on an M1. You can use buildkit, and then:
docker buildx build --platform linux/amd64 .
or, you can add the arch to the source image by modifying the Dockerfile to include something like:
QUESTION
I am learning C programming from "Learn c the hard way by Zed Shaw". He asks the learner to try and break their own code.
So I tried the following C code and thought printing more values that I gave argv will break it but it did not until later.
...ANSWER
Answered 2021-May-30 at 09:48A segmentation fault happens when the code try to access a memory region that is not available.
Accessing an array out of bounds doesn't means that the memory before or after the area occupied by the array is not available: The compiler or the runtime usually put all varibales or data in general in a given block of memory. If your array is the last item of such a memory block, the accessing it with a to big index will produce a Segmentaion Fault but is the array is in the middle of the memory block, you will just access memory used for other data, giving unexpected result and undefined behavior.
If the array (In may example, but valid for anything) is written, accessing available memory will not produce a segmentation fault but will overwrite something else. It may produce unexpected results or crash or segmentation fault later! This kind of bug is frequently very difficult to find because the unexpected result/behavior looks completely independent of the root cause.
QUESTION
I have an application using Boot Strap running with cassandra 4.0, Cassandra java drive 4.11.1, spark 3.1.1 into ubuntu 20.4 with jdk 8_292 and python 3.6.
When I run a function that it call CQL by spark, the tomcat gave me the error bellow.
Stack trace:
...ANSWER
Answered 2021-May-25 at 23:23I openned two JIRA to understand this problem. See the links below:
QUESTION
I am trying to build a docker image. This is the full dockerfile:
...ANSWER
Answered 2021-May-25 at 22:50I replicated this error with the continuumio/miniconda2:4.5.11 Docker image:
QUESTION
We have an existing application which is working fine with the SpringBoot 2.2.2.RELEASE. Now we tried to upgrade it to the SpringBoot 2.4.2 version and application is not getting started and throws the following error. In the classpath I could see only one spring-webmvc-5.3.2.jar file.
Below is the pom.xml for the referance:
...ANSWER
Answered 2021-Jan-29 at 14:01QUESTION
I added this to my cargo toml file, following the instructions here
...ANSWER
Answered 2021-May-13 at 20:49I am getting this error on Linux as well. This appears to be an issue in the clickhouse crate, but it can be fixed in your Cargo.toml. #[tokio::test] refers to a macro which requires both the "rt" and "macros" features, but the Cargo.toml file in the clickhouse crate only includes the "rt" feature. In order to add this feature so that the crate will compile, you can add a line to your Cargo.toml for tokio that enables that feature:
QUESTION
Previously I've reported it into kafkacat tracker but the issue has been closed as related to cyrus-sasl/krb5.
ANSWER
Answered 2021-May-13 at 11:50Very strange issue, and honestly I can't say why, but adding into krb5.conf:
QUESTION
This question appears to have been answered before, but none of the answers helped in my case. First I should say that I've followed the OSMnx Installation steps exactly. Then tried to run the following code in a Jupyter Notebook:
...ANSWER
Answered 2021-May-13 at 04:04You have installed an extremely old version of OSMnx. Your conda list output shows you have version 0.7.3 installed, and that was released 3 or 4 years ago. It's so old that it's incompatible with the modern features of GeoPandas and pyproj, including the modern CRS object that's causing your error. I'm not clear how you did it! My best guess is you installed using one of the old tags on this page, which do point to version 0.7.3.
This should be fixed by removing the old environment and then following the installation instructions here, like:
QUESTION
I have a problem similar to this RStudio community post and to this stack overflow post.
I have tried the solutions presented in both cases. I still cannot get arrow installed with lz4 support. I am trying to be able to use arrow::read_feather() which requires lz4 support.
After following the instructions in the first solution, I get the following error when trying to load the arrow package.
...ANSWER
Answered 2021-May-11 at 20:07Thanks to the comment from @JonKeane and his answer to my jira issue
I was able to use
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