csv-stream | Small | CSV Processing library

 by   klaemo JavaScript Version: v3.0.3 License: Non-SPDX

kandi X-RAY | csv-stream Summary

kandi X-RAY | csv-stream Summary

csv-stream is a JavaScript library typically used in Utilities, CSV Processing, Nodejs applications. csv-stream has no bugs, it has no vulnerabilities and it has low support. However csv-stream has a Non-SPDX License. You can install using 'npm i csv-streamify' or download it from GitHub, npm.

:page_with_curl: Streaming CSV Parser for Node. Small and made entirely out of streams.
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            kandi-support Support

              csv-stream has a low active ecosystem.
              It has 101 star(s) with 15 fork(s). There are 4 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 8 open issues and 15 have been closed. On average issues are closed in 123 days. There are 3 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of csv-stream is v3.0.3

            kandi-Quality Quality

              csv-stream has 0 bugs and 0 code smells.

            kandi-Security Security

              csv-stream has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              csv-stream code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              csv-stream has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              csv-stream releases are available to install and integrate.
              Deployable package is available in npm.

            Top functions reviewed by kandi - BETA

            kandi has reviewed csv-stream and discovered the below as its top functions. This is intended to give you an instant insight into csv-stream implemented functionality, and help decide if they suit your requirements.
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            csv-stream Key Features

            No Key Features are available at this moment for csv-stream.

            csv-stream Examples and Code Snippets

            No Code Snippets are available at this moment for csv-stream.

            Community Discussions

            QUESTION

            How to send csv file as akka http response?
            Asked 2019-Jun-11 at 15:54

            I have a requirement to get the data from database and create CSV file of data and return it and the file should be downloaded. and get deleted from server after response has been sent. I used this Simple CSV streaming example

            Code snippet:

            ...

            ANSWER

            Answered 2019-Jun-10 at 05:54

            I guess from Akka http you are getting a raw data, You can convert it to the appropriate response use curl --output example.csv **application url**

            Source https://stackoverflow.com/questions/56488983

            QUESTION

            JSON to csv to gzip to s3 while streaming without using too much memory
            Asked 2017-May-30 at 17:47

            We need to implement a cron service in node js that follows this flow:

            1. query from postgres lot's of data (about 500mb)
            2. transform json data into another json
            3. convert json to csv
            4. gzip
            5. upload to s3 with "upload" method

            Obviusly, we need to implement this procedure using streams, without generating memory overhead.

            we got lot's of problems:

            1. we are using sequelize, an SQL orm. With it, we can't stream the queries. So we are converting our JSON returned by the query into a readable Stream
            2. we can't find an elegant and clever way to implement a transform stream that transforms the json returned by the query. (for example input-> [{a:1,b:2}..] --> output ->[{a1:1,b1:2}..]
            3. while logging and tryng to write to fs instead of s3 (using fs.createWriteStream), seems that the file is created at same time as the pipeline starts but the size it's about 10bytes and it became consistent only when the streaming process is finished. Furthermore, lot's of RAM is used and the streaming process seems to be useless in terms of memory usage.

            How would you write this flow in node js? I've used the following libraries during my experiments:

            • json2csv-stream
            • JSONStream
            • oboe
            • zlib
            • fs
            • aws-sdk
            ...

            ANSWER

            Answered 2017-May-30 at 17:47

            Since the Sequelize results are being read into memory anyway, I don't see the point of setting up a stream to transform the JSON (as opposed to directly manipulating the data that's in memory already), but say you would port the Sequelize queries to mysql, which does provide streaming, you could use something like this:

            Source https://stackoverflow.com/questions/44268062

            QUESTION

            Streaming CSV Source with AKKA-HTTP
            Asked 2017-Mar-04 at 20:54

            I am trying to stream data from Mongodb using reactivemongo-akkastream 0.12.1 and return the result into a CSV stream in one of the routes (using Akka-http). I did implement that following the exemple here:

            http://doc.akka.io/docs/akka-http/10.0.0/scala/http/routing-dsl/source-streaming-support.html#simple-csv-streaming-example

            and it looks working fine.

            The only problem I am facing now is how to add the headers to the output CSV file. Any ideas?

            Thanks

            ...

            ANSWER

            Answered 2017-Mar-04 at 20:54

            Aside from the fact that that example isn't really a robust method of generating CSV (doesn't provide proper escaping) you'll need to rework it a bit to add headers. Here's what I would do:

            1. make a Flow to convert a Source[Tweet] to a source of CSV rows, e.g. a Source[List[String]]
            2. concatenate it to a source containing your headers as a single List[String]
            3. adapt the marshaller to render a source of rows rather than tweets

            Here's some example code:

            Source https://stackoverflow.com/questions/42565356

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

            Vulnerabilities

            No vulnerabilities reported

            Install csv-stream

            You can install using 'npm i csv-streamify' or download it from GitHub, npm.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            https://github.com/klaemo/csv-stream.git

          • CLI

            gh repo clone klaemo/csv-stream

          • sshUrl

            git@github.com:klaemo/csv-stream.git

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