bucket | Optimized data structure framework for Couchbase | Storage library
kandi X-RAY | bucket Summary
kandi X-RAY | bucket Summary
Project specifically focuses on the one bucket as database approach, and makes it easier to manage complex data sets. It tries to get rid of the embedded jsons per document and separates them into different documents behind the scene.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of bucket
bucket Key Features
bucket Examples and Code Snippets
Lines of Code : 13
License : No License
Copyconst bucketSort = (arr, size = 5) => {
const min = Math.min(...arr);
const max = Math.max(...arr);
const buckets = Array.from(
{ length: Math.floor((max - min) / size) + 1 },
() => []
);
arr.forEach(val => {
buckets[Ma def categorical_column_with_hash_bucket(key,
hash_bucket_size,
dtype=dtypes.string):
"""Represents sparse feature where ids are set by hashing.
Use this when your sp def _categorical_column_with_hash_bucket(key,
hash_bucket_size,
dtype=dtypes.string):
"""Represents sparse feature where ids are set by hashing.
Use this when your def sequence_categorical_column_with_hash_bucket(
key, hash_bucket_size, dtype=dtypes.string):
"""A sequence of categorical terms where ids are set by hashing.
Pass this to `embedding_column` or `indicator_column` to convert sequence
categ Community Discussions
Trending Discussions on bucket
QUESTION
I wish to move a large set of files from an AWS S3 bucket in one AWS account (source), having systematic filenames following this pattern:
...ANSWER
Answered 2021-Jun-15 at 15:28You can use sort -V command to consider the proper versioning of files and then invoke copy command on each file one by one or a list of files at a time.
ls | sort -V
If you're on a GNU system, you can also use ls -v. This won't work in MacOS.
QUESTION
I have three .snappy.parquet files stored in an s3 bucket, I tried to use pandas.read_parquet() but it only work when I specify one single parquet file, e.g: df = pandas.read_parquet("s3://bucketname/xxx.snappy.parquet"), but if I don't specify the filename df = pandas.read_parquet("s3://bucketname"), this won't work and it gave me error: Seek before start of file.
I did a lot of reading, then I found this page
it suggests that we can use pyarrow to read multiple parquet files, so here's what I tried:
ANSWER
Answered 2021-Jun-15 at 13:59You have a column with a "struct type" and you want to flatten it. To do so call flatten before calling to_pandas
QUESTION
I have users in a Cognito user pool, some of whom are in an Administrators group. These administrators need to be allowed to read/write to a specific S3 bucket, and other users must not.
To achieve this, I assigned a role to the Administrators group which looked like this:
ANSWER
Answered 2021-Jun-15 at 12:03The solution lies in the federated identity pool's settings.
By default the identity pool will provide the IAM role that it's configured with. In other words, one of either the "unauthenticated role" or the "authenticated role" that it's set up with.
But it can be told instead to provide a role specified by the authentication provider. That's what will solve the problem here.
- In the AWS console, in Cognito, open the relevant identity pool.
- Click "Edit identity pool" (top right)
- Expand "Authentication Providers"
- Under Authenticated Role Selection, choose "Choose role from token".
That will allow Cognito to specify its own roles, and you will find that the users get the privileges of their group.
QUESTION
I have 2 buckets on the S3 service. I have a lambda function "create-thumbnail" that triggered when an object is created into an original bucket, if it is an image, then resize it and upload it into the resized bucket.
Everything is working fine, but the function doesn't trigger when I upload files more than 4MB on the original bucket.
Function configurations are as follow,
- Timeout Limit: 2mins
- Memory 10240
- Trigger Event type: ObjectCreated (that covers create, put, post, copy and multipart upload complete)
ANSWER
Answered 2021-Jun-15 at 11:35Instead of using the lambda function, I have used some packages on the server and resize the file accordingly and then upload those files on the S3 bucket. I know this is not a solution to this question, but that's the only solution I found
Thanks to everyone who took their time to investigate this.
QUESTION
4 rows are stored here. Each new row is displayed when the LOAD MORE button is pressed. Each row is displayed as it should and the code works without problems. When the end is reached, a Go button should appear pointing to another page.
What's the best way to do this? I have included the code as an example.
...ANSWER
Answered 2021-Jun-14 at 09:37One way is to just rename the button when you get to the end. Then you can just test it in the $('#load-more').click(function() function.
First, move the numberLeft variable out of it's function so that other functions can access it. When numberLeft === 0 just rename the button with $('#load-more').text("GO ->")
QUESTION
I have a Python Apache Beam streaming pipeline running in Dataflow. It's reading from PubSub and writing to GCS. Sometimes I get errors like "Error in _start_upload while inserting file ...", which comes from:
...ANSWER
Answered 2021-Jun-14 at 18:49In a streaming pipeline, Dataflow retries work items running into errors indefinitely.
The code itself does not need to have retry logic.
QUESTION
I need to split my products into a total of 120 predefined price clusters/buckets. These clusters can overlap and look somewhat like that:
As I dont want to write down all of these strings manually: Is there a convenient way to do this in M or DAX directly using a bit of code?
Thanks in advance! Dave
...ANSWER
Answered 2021-Jun-11 at 19:22You can create this bucket by DAX (New Table):
QUESTION
I'm running gitlab-ce on-prem with min.io as a local S3 service. CI/CD caching is working, and basic connectivity with the S3-compatible minio is good. (Versions: gitlab-ce:13.9.2-ce.0, gitlab-runner:v13.9.0, and minio/minio:latest currently c253244b6fb0.)
Is there additional configuration to differentiate between job-artifacts and pipeline-artifacts and storing them in on-prem S3-compatible object storage?
In my test repo, the "build" stage builds a sparse R package. When I was using local in-gitlab job artifacts, it succeeds and moves on to the "test" and "deploy" stages, no problems. (And that works with S3-stored cache, though that configuration is solely within gitlab-runner.) Now that I've configured minio as a local S3-compatible object storage for artifacts, though, it fails.
ANSWER
Answered 2021-Jun-14 at 18:30The answer is to bypass the empty-string test; the underlying protocol does not support region-less configuration, nor is there a configuration option to support it.
The trick is able to work because the use of 'endpoint' causes the 'region' to be ignored. With that, setting the region to something and forcing the endpoint allows it to work:
QUESTION
I'm pretty new to AWS Lambda functions.
OBJECTIVE:I'm trying to get a .xlsx file from a website and put it on a private Amazon S3 bucket.
The following code leads to a timeout when running the put_object function and I don't know how doing now ... What am I doing wrong? I'm so close...
This code works on our backend to write to a file.
ANSWER
Answered 2021-Jun-14 at 09:42Based on the comments.
The issue was caused by a default lambda timeout of 3 seconds. Increasing the timeout in AWS console was the solution to the problem reported.
QUESTION
I have a current solution for my s3 bucket where I store exe files with specific versions like:
- s3://my-bucket
- /latest
- my-exe-v1.xxx3.exe
- /history
- my-exe-v1.xxx2.exe
- my-exe-v1.xxx1.exe
- ...
- /latest
Is it possible for versionned bucket to set the version name ? In my case it would allow to get the bucket like:
- s3://my-bucket
- my-exe.exe -> contains versions (v1.xxx1,v1.xxx2,v1.xxx3, ...)
ANSWER
Answered 2021-Jun-14 at 13:00S3 does not support naming a specific version. Instead it uses unique version IDs to differentiate among multiple versions of the same object. The main purpose of object versioning is to enable you to restore objects that are accidentally deleted or overwritten and compliance reasons.
Common practice to achieve what you want is to set versions as part of the objects' key, i.e., like a folder per version. For example, you could decide to have s3://my-bucket/V1/my-object and so on.
Beat, Stefan
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