mongoimport | go library for importing data | CSV Processing library

 by   romnn Go Version: v0.1.12 License: MIT

kandi X-RAY | mongoimport Summary

kandi X-RAY | mongoimport Summary

mongoimport is a Go library typically used in Utilities, CSV Processing applications. mongoimport has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

CLI and go library for importing data from CSV, JSON or XML files into MongoDB. You can also download pre built binaries from the releases page. For a list of options, run. Using the tool as a standalone CLI tool is great for quick loading of a few files. However, you might need more fine-grained control over what files are imported into which collection or perform additional pre/post processing (e.g. parsing timestamps). For this use case, we offer a very extensivle and modular API for configuring your imports. For more examples, see examples/.
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            kandi-support Support

              mongoimport has a low active ecosystem.
              It has 3 star(s) with 2 fork(s). There are no watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 8 open issues and 3 have been closed. On average issues are closed in 17 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of mongoimport is v0.1.12

            kandi-Quality Quality

              mongoimport has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              mongoimport is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              mongoimport releases are available to install and integrate.
              Installation instructions are not available. Examples and code snippets are available.

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            mongoimport Key Features

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            mongoimport Examples and Code Snippets

            No Code Snippets are available at this moment for mongoimport.

            Community Discussions

            QUESTION

            Marshal Go Struct to BSON for mongoimport
            Asked 2022-Feb-09 at 09:24

            I have a slice of structs that I want to write to a BSON file for doing a mongoimport.

            This a rough idea of what I'm doing (using gopkg.in/mgo.v2/bson):

            ...

            ANSWER

            Answered 2022-Feb-09 at 09:23

            You want independent BSON documents, so marshal the items individually:

            Source https://stackoverflow.com/questions/71046804

            QUESTION

            Converting an extended JSON document to mongo shell format
            Asked 2022-Jan-29 at 02:40

            MongoDB can output data in Extended JSON format. For example, in relaxed mode, a date is represented as:

            ...

            ANSWER

            Answered 2022-Jan-29 at 02:40

            You are right, the legacy (aka deprecated) mongo shell does not support extended JSON parsing. However, the new mongosh shell provides the EJSON class for exactly that.

            Source https://stackoverflow.com/questions/70892436

            QUESTION

            faster mongoimport, in parallel in airflow?
            Asked 2022-Jan-18 at 01:52

            tl;dr: there seems to be a limit on how fast data is inserted into our mongodb atlas cluster. Inserting data in parallel does not speed this up. How can we speed this up? Is our only option to get a larger mongodb atlas cluster with more Write IOPS? What even are write IOPS?

            We replace and re-insert >10GB+ of data daily into our mongodb cluster with atlas. We have the following 2 bash commands, wrapped in python functions to help parameterize the commands, that we use with BashOperator in airflow:

            upload single JSON to mongo cluster

            ...

            ANSWER

            Answered 2022-Jan-18 at 01:52

            First of all "What is the current bottleneck with importing to mongo?" and "Is it (a) CPUs in our server / docker container " - don't believe to anyone who will tell you the answer from the screenshot you provided.

            Atlas has monitoring tools that will tell you if the bottleneck is in CPU, RAM, disk or network or any combination of those on db side:

            On the client side (airflow) - please use system monitor of your host OS to answer the question. Test disk I/O inside docker. Some combinations of host OS and docker storage drivers performed quite poor in the past.

            Next, "What even are write IOPS" - random write operations per second https://cloud.google.com/compute/docs/disks/performance

            IOPS calculation differs depending on cloud provider. Try AWS and Azure to compare cost vs speed. M10 on AWS gives you 2 vCPU, yet again I doubt you can compare them 1:1 between vendors. The good thing is it's on-demand and will cost you less than a cup of coffee to test and delete the cluster.

            Finally, "If there's a parallel solution using python's pymongo" - I doubt so. mongoimport uses batches of 100,000 documents, so essentially it sends it as fast as the stream is consumed on the receiver. The limitations on the client side could be: network, disk, CPU. If it is network or disk, parallel import won't improve a thing. Multi-core systems could benefit from parallel import if mongoimport was using a single CPU and it was the limiting factor. By default mongoimport uses all CPUs available: https://github.com/mongodb/mongo-tools/blob/cac1bfbae193d6ba68abb764e613b08285c6f62d/common/options/options.go#L302. You can hardly beat it with pymongo.

            Source https://stackoverflow.com/questions/68883550

            QUESTION

            Dockerfile mongo: connection() error occured during connection handshake: dial tcp 127.0.0.1:27017
            Asked 2022-Jan-07 at 21:28

            I have Dockerfile

            ...

            ANSWER

            Answered 2022-Jan-07 at 19:23

            You've overwritten the mongo startup procedure with your own CMD, such that the Mongo server doesn't start anymore. Therefore, mongoimport will fail, and your container will exit.

            Instead, just run the original Mongo image by itself with a volume mount, then exec into it, and run your import function. Afterwards, it'll still be running, and you can connect to it.

            By the way, EXPOSE 27107:27107 isn't a valid expression.

            Source https://stackoverflow.com/questions/70626112

            QUESTION

            How do I run my main.go file without having to run them separately outside of the containers?
            Asked 2022-Jan-03 at 20:53

            I have a main.go file that I use to run an app that starts a server that exposes a port where I can run endpoints from. I was trying to dockerise it and got as far as making working containers that hold the app and the db, but I still seem to have to run go run main.go after running docker-compose up -d.

            ...

            ANSWER

            Answered 2022-Jan-03 at 20:42

            Please, change the following line in the .env file:

            Source https://stackoverflow.com/questions/70569682

            QUESTION

            docker-compose file doesn't pick up environment variable from a dedicated env file causing the seeding of database to fail
            Asked 2021-Nov-08 at 17:08
            Host System
            • Windows 10 Pro
            Software
            • Docker Desktop for Windows 10
            • docker --version Docker version 20.10.8, build 3967b7d
            • docker-compose --version docker-compose version 1.29.2, build 5becea4c
            Scenario

            Provide the following:

            • I wish to seed a MongoDB Container with some pre-defined JSON data that I have.
            • I am aware it is possible to insert data using mongoinsert
            • I wish to create a stack of the database and other apps dependent on it and seed the data upon bringing this stack up
            Repository Structure ...

            ANSWER

            Answered 2021-Nov-08 at 17:07

            I was able to solve this issue thanks to a recent answer on a SE Query

            It essentially describes the following steps for passing build arguments from an .env file passed through docker-compose.yml file:

            1. Pass the following as build argument for the mongo-seed service:

            Source https://stackoverflow.com/questions/69886273

            QUESTION

            How to import multiple different collections using mongo import in docker
            Asked 2021-Oct-29 at 13:02

            I'm trying to import multiple json files into different collections in my mongo database but only the last imported collection is kept.

            This is my docker-compose.yml:

            ...

            ANSWER

            Answered 2021-Oct-29 at 13:02

            This happens because you cannot have more than one CMD instruction in the Dockerfile. When you do, only the last one will be executed, this is by design. What you can do within you seed container -

            • copy the jsons to the seed container
            • copy a shell script containing mongoimport commands to the seed container
            • make CMD execute this script.

            For example:

            Source https://stackoverflow.com/questions/69760892

            QUESTION

            Error import data to mongo atlas cluster mongimport
            Asked 2021-Oct-08 at 13:44

            I' trying since 2 days to import data to my mongo cluster using the mongimport command but i'm getting an error

            my mongoimport command

            ...

            ANSWER

            Answered 2021-Oct-08 at 13:13

            Use with option --gzip

            check this

            Source https://stackoverflow.com/questions/69495966

            QUESTION

            Why i am getting the total count as ZERO even after importing 240 documents succesfully?
            Asked 2021-Sep-29 at 08:11

            Actually i was learning MongoDB and in that I got stuck in order to import a JSON file(which is located at Desktop of my laptop)

            My JSON file is array of 240 element each of similar type as shown below (I have added two such documents in the array and similarly other 238 documents are of same form are present in the same array) :-

            ...

            ANSWER

            Answered 2021-Sep-28 at 07:02

            Try using Studio 3T(https://studio3t.com/download/). The GUI supports import/export JSON/CSV etc..

            Source https://stackoverflow.com/questions/69356333

            QUESTION

            Change data type from string to date while skipping missing data
            Asked 2021-Aug-24 at 10:30

            The core collection (other collections in the DB refer back to this one) in my DB contains 3 fields with date information which at this point is formatted as strings like MM/DD/YYYY. Further, there are a range of documents for which this field contains missing data, i.e. "". I populated this collection by running the mongoimport command on a JSON file.

            My goal is to convert these date-fields into actual ISODate data types, so as to allow filtering the collection by dates. Further, I want MongoDB to know that empty strings indicate missing values. I have read quite widely on this, leading me to try a bunch of things:

            1. Trying a forEach statement - This worked, but only for the very first document.
            ...

            ANSWER

            Answered 2021-Aug-24 at 10:30
            db.collection.updateMany(
                {
                    "$and": [
                        { "startDate": { "$type": "string" } },
                        { "startDate": { "$ne": "" } }
                    ]
                },
                [
                   {
                    "$set": {
                        "startDate": {
                            "$dateFromString": {
                                "dateString": "$startDate",
                                "format": "%m/%d/%Y"
                            }
                        }
                    }
                }
            ]
            )
            

            Source https://stackoverflow.com/questions/68860553

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            You can download it from GitHub.

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