open-data-registry | A registry of publicly available datasets on AWS | Cloud Storage library

 by   awslabs Python Version: Current License: Apache-2.0

kandi X-RAY | open-data-registry Summary

kandi X-RAY | open-data-registry Summary

open-data-registry is a Python library typically used in Storage, Cloud Storage, Spark, Amazon S3 applications. open-data-registry has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can download it from GitHub.

When data is shared on AWS, anyone can analyze it and build services on top of it using a broad range of compute and data analytics products, including Amazon EC2, Amazon Athena, AWS Lambda, and Amazon EMR. Sharing data in the cloud lets data users spend more time on data analysis rather than data acquisition. This repository exists to help people promote and discover datasets that are available via AWS resources.
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            kandi-support Support

              open-data-registry has a medium active ecosystem.
              It has 1184 star(s) with 752 fork(s). There are 67 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 13 open issues and 73 have been closed. On average issues are closed in 62 days. There are 12 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of open-data-registry is current.

            kandi-Quality Quality

              open-data-registry has no bugs reported.

            kandi-Security Security

              open-data-registry has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              open-data-registry is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              open-data-registry releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed open-data-registry and discovered the below as its top functions. This is intended to give you an instant insight into open-data-registry implemented functionality, and help decide if they suit your requirements.
            • Validate that a bucket region is valid .
            • Decorator to retry a function .
            • Return the region of a bucket .
            • Validate a resource arn .
            • Validate tags
            • Check that the value is a valid resource
            • Verify that the value is a valid service
            • Validate host value
            • Checks if the value is a controlled access string
            • Verify that the given value is a valid URL .
            Get all kandi verified functions for this library.

            open-data-registry Key Features

            No Key Features are available at this moment for open-data-registry.

            open-data-registry Examples and Code Snippets

            geomet-data-registry,Running
            Pythondot img1Lines of Code : 43dot img1License : Strong Copyleft (GPL-3.0)
            copy iconCopy
            # help
            geomet-data-registry --help
            
            # get version
            geomet-data-registry --version
            
            # setup tileindex
            geomet-data-registry tileindex setup
            
            # teardown tileindex
            geomet-data-registry tileindex teardown
            
            # setup store
            geomet-data-registry store setup
            
            #   
            Registry namespace,Enumerating registry subkeys
            C++dot img2Lines of Code : 26dot img2no licencesLicense : No License
            copy iconCopy
            #include 
            
            using namespace m4x1m1l14n;
            
            int main()
            {
                try
                {
                    auto key = Registry::LocalMachine->Open(L"SOFTWARE\\Microsoft\\Windows\\CurrentVersion\\Uninstall");
            
                    key->EnumerateSubKeys([](const std::wstring& name) ->  
            Registry namespace,Opening registry keys
            C++dot img3Lines of Code : 25dot img3no licencesLicense : No License
            copy iconCopy
            #include 
            
            using namespace m4x1m1l14n;
            
            int main()
            {
                try
                {
                    auto key = Registry::LocalMachine->Open(L"SOFTWARE\\MyCompany\\MyApplication");
            
                    // do work needed
                }
                catch (const std::exception&)
                {
                	// handle   
            Initialize the registry .
            pythondot img4Lines of Code : 4dot img4License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def __init__(self, name):
                """Creates a new registry."""
                self._name = name
                self._registry = {}  

            Community Discussions

            QUESTION

            Google cloud storage - static contents ( the effect of using more than one bucket with load balancer on performance) (beginner question)
            Asked 2022-Mar-28 at 17:23

            I have some static contents which will be downloaded by a big number of concurrent users. I am using a google cloud storage bucket to serve those contents.

            i am afraid of low performance due to bandwidth, or file read speed. in case of big number of concurrent users. i want to ask if is it better to use more than one bucket with a load balancer to serve the same contents, or there will not be much difference?

            ...

            ANSWER

            Answered 2022-Mar-28 at 17:23

            I have not benchmarked using multiple buckets, but I do not think there will be any benefit. The downside is increased complexity in your deployments.

            Cloud Storage is already very fast and can handle global access. I do not believe a single load balancer would be able to overload a storage bucket. There are exceptions such as object name hotspots (sequential object names), but this would also affect your multiple bucket strategy.

            You can also configure dual-region storage buckets, which are primarily used for replicating data. Selecting a bucket location will have more of an impact link.

            The key to fast performance for the client is two-fold. Network performance and locality.

            For network performance, ensure data travels from the bucket to the user over Google's premium tier network. This reduces the unpredictability of the Internet.

            To improve locality, bring the data closer to the client. This means using Google's CDN, which caches bucket data around the world at points-of-presence that are closer to the client.

            Read speed will be determined by the client's network speed (Internet connection) and TCP/IP stack configuration. Cloud Storage is many orders of magnitude faster.

            For best performance:

            • Create a multi-region bucket.
            • Add Cloud CDN to your load balancer to cache bucket objects.

            Best practices for Cloud Storage

            Source https://stackoverflow.com/questions/71646362

            QUESTION

            Problem adding duplicate object in Google Storage using PutGCSObject processor in Nifi
            Asked 2022-Mar-25 at 09:30

            I am using Nifi to send data from Pub/Sub queue to Cloud storage. I'm using the ConsumeGCPubSub processor to fetch data from the queue and the PutGCSObject processor to add Cloud Storage in Nifi. But the PutGCSObject processor is sending duplicate data in Cloud Storage.

            I also see that this data has the same MD5 Hash code in its Cloud Storage records. What could be causing this and how can I fix it?

            I double checked:

            • pub/sub messages is not duplicated.
            • When I send 30 piece of data, there are come exactly 30 pieces in Nifi
            • I checked my google storage have different data. But there was not..
            • When I examine it, the number of data coming from the queue and exiting the PutGCSObject processor as success is the same, but I see that the data is written over and over again. When I looked into NiFi Data Provenance, I found that there are multiple data with the same FlowFile UUID.
            ...

            ANSWER

            Answered 2022-Mar-25 at 09:30

            You should have connected the success criterion on the terminate side to the processor.

            Source https://stackoverflow.com/questions/71609222

            QUESTION

            Snowflake organization account
            Asked 2021-Nov-29 at 03:58

            The questions are related to snowflake account with organization/ orgadmin role enabled.

            1.Is it possible to detach a snowflake account from a snowflake organization?

            a. If yes, will the removed account become a standalone(separate contract) account? How does the billing work?

            b. Will the account url change after detachment?

            c. Procedure to achieve the above?

            1. In an organization, are the background services charged on each account?
            2. Can we clone a database across accounts within an organization?
            3. What happens to the other accounts within an organization when the primary account is deleted?
            4. Can we get a cost comparison table between 2 standalone accounts and an organization with 2 accounts?
            5. After detachment can the account type/region/cloud provider be changed?

            I have asked similar questions to snowflake support through support ticket system, But would like to get answers from the community too.

            P.S If I get an answer from Snowflake, I will post it here!.

            ...

            ANSWER

            Answered 2021-Nov-27 at 19:19
            1. Yes - but you'd need to contact Snowflake support to do that.

            a) not sure what you mean by standalone. All accounts are technically standalone. If you mean from a Snowflake contract, perspective, if you want them to be on a separate contract, you can do that. If you don't, it can remain on the same contract.

            b) see (a).

            c) if you are using the URL that uses ORG and account name, then yes, the URL will change. If you are using the URL that leverages an account locator and the deployment/region, then no. If won't and can't change.

            d) Call Support

            1. background services are always related to an account. An organization is just a way of grouping accounts.
            2. No, but you can replicate data from one account to another account in Org. Cloning can only ever be done within a single account.
            3. What happens to what? If this was related to cloning, then I don't think the question is valid. A replication would cease to replicate.
            4. No costs for Organization so costs are the same per credit and per TB costs that you'd see on any account.
            5. No, you can't move an account around. You'd need to create a new account, move your objects to the new account and then just remove your original account, if you wanted to move platform or region.

            Source https://stackoverflow.com/questions/70131531

            QUESTION

            Need to know exact geolocation where Google stores Cloud Storage content
            Asked 2021-Oct-28 at 22:14

            Due to the nature of our business, we basically need to disclose where in the globe the files uploaded by our users are located.

            In other words, we need the exact address where the data storage that keeps these files is located.

            We're using Google Firebase's Cloud Storage and, even though they mention which city each location option refers to, we are unable to check the exact address.

            The bucket that corresponds to our Google Cloud Storage is currently configured as: us (multiple regions in United States), which I suppose makes it even worse to pinpoint where the data resides. But that is an easy fix: we can simply start from scratch selecting a specific region as our storage location.

            The main issue, however, is that, even if selecting a specific location, we can't really know the address where those files will be stored.

            Has anyone ever come across something like this?

            I tried getting support in my project's Google Cloud Platform, but apparently I need to purchase it. And I'm afraid that they won't be able to help me.

            In case someone has contacted their support and got this answer, please let me know.

            ...

            ANSWER

            Answered 2021-Oct-28 at 22:14

            When you store data in GCS, even in a regional bucket, Google does not make any guarantee which zone(s) within the region the data is stored in, nor is this visible. Different zones in a region can be at a different street address, so street-address level location data is unavailable, even if you get the datacenter addresses by finding the datacenters on Google maps (you could start here).

            Source https://stackoverflow.com/questions/69730716

            QUESTION

            Process 10req/s and save to cloud storage - recommended method?
            Asked 2021-Sep-25 at 17:22

            I have 10 requests per second of data I want to save that looks like the entry below. I need to save this data after a CloudRun function completes. (My infrastructure is on google-cloud-platform). The data will be used as a data set for machine learning.

            ...

            ANSWER

            Answered 2021-Sep-24 at 20:07

            I can propose you 2 patterns, but in both case you need to store the messages:

            • Either use PubSub to stack the messages. Then, use Dataflow to read pubsub and to sink to Cloud Storage. Or use a on demand service (Cloud Run for exemple) to pull your PubSub subscription and write a file with all the message read (You can trigger your Cloud Run with Cloud Scheduler, every hour for example)
            • Or store the message in BigQuery, and then perform query export to GCS regularly (again with a Cloud Scheduler + Cloud Functions/Run). It's my preferred solution, because, maybe a day, you will have to process differently your message, and to get metrics/perform analytics on them.

            Source https://stackoverflow.com/questions/69307175

            QUESTION

            Google Cloud Storage serve images in different sizes?
            Asked 2021-Jul-12 at 03:54

            I have stored thousands of images in GCP Cloud Storage in very high resolution. I want to serve these images in an iOS/Android App and on a website. I don't want to serve all the time the high-resolution version and wondered whether I have to create duplicate images in different resolutions - which seems very inefficient. The perfect solution would be that I can append a parameter like ?size=100 to the image URL. Is something like that natively possible with GCP Cloud Storage?

            I don't find anything in the documentation from cloud storage: https://cloud.google.com/storage/docs. Several other resources link to deprecated solutions: https://medium.com/google-cloud/uploading-resizing-and-serving-images-with-google-cloud-platform-ca9631a2c556

            What is the best solution to implement such functionality?

            ...

            ANSWER

            Answered 2021-Jul-12 at 03:54

            John Hanley is correct. Cloud Storage currently does not have Imaging services yet, though a Feature Request already exists. I highly suggest that you "+1" and "star" this issue to increase its chance to be prioritized in development.

            You are right that this use case is common. Image API is a Legacy App Engine API. It's no longer a recommended solution because Legacy App Engine APIs are only available in older runtimes that have limited support. GCP would advise developers to use Client Libraries instead but since your requested feature is not yet available, then you'll have to use third-party imaging libraries.

            In this case, developers are commonly using Cloud Functions with Cloud Storage Trigger, thus resizing and creating duplicate images in different resolutions. While you may find the solution inefficient, unfortunately there's not much choice but to process those images until the feature request becomes available in public.

            One good thing though is that Cloud Functions supports multiple runtimes so you can write code in any supported languages and pick libraries you're comfortable using. If you're using Node runtime, feel free to check this sample that automatically creates thumbnail when an image is uploaded to Cloud Storage.

            Source https://stackoverflow.com/questions/68322198

            QUESTION

            How do cloud storage companies check for malicious content?
            Asked 2021-May-04 at 15:10

            I was wondering that how do storage solutions like S3 or Google Drive check whether their storage platform is being abused for the storage of malicious content?

            e.g. if someone uploads a password protected zip file to their servers, I don't see a way on how they can verify it. For unencrypted files, I can understand some sort of file parser could work. But if someone uploads a password protected file, the only way to see/verify the contents is try to brute force your way into it (ignoring the moral obligations for the organisation to not do that).

            So, how do these companies/solutions verify the kind of data that is being uploaded on their platforms?

            ...

            ANSWER

            Answered 2021-May-04 at 15:10

            There isn't technical solution, but on legal solution. They say: "We are only a service provider, not a content provider. We aren't responsible of the illegal use of our services".

            This stand has been the same with Youtube, where you was able to upload content with copyright without issue with Google (but with the owner of the copyright). Now, it has changed and Youtube performed check, but it was the same legal principle.

            Source https://stackoverflow.com/questions/67383278

            QUESTION

            What cloud storage service allow developer upload/download files with free API?
            Asked 2021-Apr-30 at 12:07

            I want to find a free cloud storage service with free API, that could help me back up some files automatically.

            I want to write some script (for example python) to upload files automatically.

            I investigated OneDrive and GoogleDrive. OneDrive API is not free, GoogleDrive API is free while it need human interactive authorization before using API.

            For now I'm simply using email SMTP protocol to send files as email attachments, but there's a max file size limition, which will fail me in the future, as my file size is growing.

            Is there any other recommendations ?

            ...

            ANSWER

            Answered 2021-Apr-27 at 03:27

            I believe your goal as follows.

            • You want to upload a file using Drive API with the service account.
            • You want to achieve your goal using python.

            At first, in your situation, how about using google-api-python-client? In this answer, I would like to explain the following flow and the sample script using google-api-python-client.

            Usage: 1. Create service account.

            Please create the service account and download a JSON file. Ref

            2. Install google-api-python-client.

            In order to use the sample script, please install google-api-python-client.

            Source https://stackoverflow.com/questions/67275889

            QUESTION

            Cloud storage provider for music streaming
            Asked 2021-Apr-02 at 16:00

            As an intro, I'm developing an app with Flutter that has an audio section.

            I would like to address two subjects.

            1. For the moment the audio is stored in the cloud, more specific using Firebase. The main problem is that the pricing is not very supportive when the bandwidth threshold is exceeded. Also, as I discovered, each song is downloaded completely when trying to play it. Therefore, it doesn't matter that I want play 10 seconds or 1 minute of a song, the same traffic is generated. I'm using just_audio package as audio library and I'm wondering if there is a solution to integrate a stream base solution that implies buffering.

            2. As I've seen in the debug logs, a HTTP request is sent every time a song (from the cloud) is requested to play. Now, my concerns are that I can't use just_audio for streaming. Is there a cloud solution that fulfills a good compromise between price and bandwidth, even if the song is downloaded entirely each time the play action is required? I'm taking in consideration to develop an offline mode for the audio section, so that each song could be played from the local memory. Even so, it must be a user option, not a by default feature.

            ...

            ANSWER

            Answered 2021-Apr-02 at 16:00
            1. I found two solutions for cloud storage that offer a good price for data transfer. The first option is starting from 5$/mo, 1TB included and 0.01$ / GB for extra traffic. https://www.digitalocean.com/. The second one starts from 9EUR/mo, 1TB included and the cost for any extra traffic is 0.5EUR/TB.

            2. just-audio has support for HLS and MPEG-DASH. Therefore, for the server-side, a good solution is nginx with the rtmp module.

            Credits to: https://docs.peer5.com/guides/setting-up-hls-live-streaming-server-using-nginx/

            The setup is pretty much straight forward:

            Source https://stackoverflow.com/questions/66779057

            QUESTION

            How to mark a file private before it's uploaded to Google Cloud Storage?
            Asked 2021-Apr-02 at 13:30

            I'm using @google-cloud/storage package and generating signed url to upload file like this:

            ...

            ANSWER

            Answered 2021-Apr-02 at 13:30

            You can't make the objects of a public bucket private due to the way how IAM and ACLs interact with one another.

            Source https://stackoverflow.com/questions/66903881

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install open-data-registry

            You can download it from GitHub.
            You can use open-data-registry like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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