spark-bd | spark streaming based on the BigData.be project
kandi X-RAY | spark-bd Summary
kandi X-RAY | spark-bd Summary
Exploration of spark streaming based on the BigData.be project 2. I also tried to relate some of the work done here in my blog. See [this page] for the very first post.
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QUESTION
I am looking at this image and it seems the layers are redundant and these redundant layers ended up in the image ? If they are , how they ended up in the image leading to large amount of space ? How could i strip these layers ?
https://microbadger.com/images/openkbs/docker-spark-bde2020-zeppelin:latest
...ANSWER
Answered 2020-Sep-03 at 23:39What you are seeing are not layers, but images that were pushed to the same registry. Basically, those are the different versions of one image.
In a repository, each image is accessible through an unique ID, its SHA value. Furthermore, one can tag images with convenient names, e.g. V1.0
or latest
. These tags are not fixed, however. When an image is pushed with a tag that is already assigned to another image, the old image loses the tag and the new image gains it. Thus, a tag can move from one image to another. The tag latest
is no exception. It has, however, one special property: the tag is always assigned to the most recently pushed version of an image.
The person/owner of the registry has pushed new versions of the image and not tagged the old versions. Thus, all old versions show up as "untagged".
If we pull a specific image, we will receive this image and this image only, not the complete registry.
QUESTION
I downloaded two images and the sizes are as follows :
...ANSWER
Answered 2020-Aug-30 at 13:04Yes, same layers are "shared". Docker using hashes (including filesystem and commands) to identify these layers.
So docker shows you the size of the images (including the base-images) but that doesn't mean that they needs the same disk space.
QUESTION
If I run the following Main.scala
class:
ANSWER
Answered 2019-Mar-15 at 03:25Caould you please update your log4j propety as below.
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