mongoimport | go library for importing data | CSV Processing library
kandi X-RAY | mongoimport Summary
kandi X-RAY | mongoimport Summary
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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Trending Discussions on mongoimport
QUESTION
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 09:23You want independent BSON documents, so marshal the items individually:
QUESTION
MongoDB can output data in Extended JSON format. For example, in relaxed mode, a date is represented as:
...ANSWER
Answered 2022-Jan-29 at 02:40You 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.
QUESTION
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 01:52First 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.
QUESTION
I have Dockerfile
...ANSWER
Answered 2022-Jan-07 at 19:23You'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.
QUESTION
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 20:42Please, change the following line in the .env
file:
QUESTION
- Windows 10 Pro
- 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
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
ANSWER
Answered 2021-Nov-08 at 17:07I 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:
Pass the following as build argument for the
mongo-seed
service:
QUESTION
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 13:02This 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:
QUESTION
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 13:13Use with option --gzip
check this
QUESTION
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 07:02Try using Studio 3T(https://studio3t.com/download/). The GUI supports import/export JSON/CSV etc..
QUESTION
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:
- Trying a
forEach
statement - This worked, but only for the very first document.
ANSWER
Answered 2021-Aug-24 at 10:30db.collection.updateMany(
{
"$and": [
{ "startDate": { "$type": "string" } },
{ "startDate": { "$ne": "" } }
]
},
[
{
"$set": {
"startDate": {
"$dateFromString": {
"dateString": "$startDate",
"format": "%m/%d/%Y"
}
}
}
}
]
)
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