On my local machine (i.e. http://localhost:8080/), I have entered data into my GAE datastore for some entity called Article. After turning off my computer and then restarting next day, I find the datastore empty: no entity. Is there a way to prevent this in the future?
How do I make a copy of the data in my local datastore? Also, will I be able to upload said data later into both localhost and production?
My model is ndb.
I am using Max OS X and Python 2.7, if theses matter.
I have experienced the same problem. Declaring the datastore path when running dev_appserver.py should fix it. These are the arguments I use when starting the dev_appserver
python dev_appserver.py --high_replication --use_sqlite --datastore_path=myapp.datastore --blobstore_path=myapp_blobs
This will use sqlite and save the data in the file myapp.datastore. If you want to save it in a different directory, use --datastore_path=/path/to/myapp/myapp.datastore
I also use --blobstore_path to save my blobs in a specific directory. I have found that it is more reliable to declare which directory to save my blobs. Again, that is --blobstore_path=/path/to/myapp/blobs or whatever you would like.
Since declaring blob and datastore paths, I haven't lost any data locally. More info can be found in the App Engine documentation here:
https://developers.google.com/appengine/docs/python/tools/devserver#Using_the_Datastore
Data in the local datastore is preserved unless you start it with the -c flag to clear it, at least on the PC. You therefore probably have a different issue with temp files or permissions or something.
The local data is stored using a different method to the actual production servers, so not sure if you can make a direct backup as such. If you want to upload data to both the local and deployed servers you can use the Upload tool suite: uploading data
The bulk loader tool can upload and download data to and from your application's datastore. With just a little bit of setup, you can upload new datastore entities from CSV and XML files, and download entity data into CSV, XML, and text files. Most spreadsheet applications can export CSV files, making it easy for non-developers and other applications to produce data that can be imported into your app. You can customize the upload and download logic to use different kinds of files, or do other data processing.
So you can 'backup' by downloading the data to a file.
To load/pull data into the local development server just give it the local URL.
The datastore typically saves to disk when you shut down. If you turned off your computer without shutting down the server, I could see this happening.
Related
I have a telegram bot, and it saves the user's audio messages and photos in the repository and DB(path only), I deployed it in on pythonanywhere and everything works.
But before that, I tried to deploy it on heroku and ran into the problem that you can't store files there and everything can only be done through databases.
Do I understand correctly that you need to create a field in the database that stores the file itself, or are there other ways?
You may use, for example, cloudinary. They provide 25GB of bandwidth for free. The service is intended to be used for pictures but works well with other files as well. AND it has a good API to go with it for many programming languages (not sponsored)).
I am trying to deploy a web app I have written, but I am stuck with one element. The bulk of it is just an Angular application that interacts with a MongoDB database, thats all fine. Where I am stuck is that I need local read access to around 10Gb of files (geoTiff digital elevation models) - these dont change and are broken down into 500 or so files. Each time my app needs geographic elevations, it needs to find the right file, read the right bit of the files, return the data - the quicker the better. To reiterate, I am not serving these files, just reading data from them.
In development these files are on my machine and I have no problems, but the files seem to be too large to bundle in the Angular app (runs out of memory), and too large to include in any backend assets folder. I've looked at two serverless cloud hosting platforms (GCP and Heroku) both of which limit the size of the deployed files to around 1Gb (if I remember right). I have considered using cloud storage for the files, but I'm worried about negative performance as each time I need a file it would need to be downloaded from the cloud to the application. The only solution I can think of is to use a VM based service like Google Compute and use an API service to recieve requests from the app and deliver back the required data, but I had hoped it could be more co-located (not least cos that solution costs more $$)...
I'm new to deployment so any advice welcome.
Load your data to a GIS DB, like PostGIS. Then have your app query this DB, instead of the local raster files.
Based on the subdomain that is accessing my application I need to include a different configuration file that sets some variables used throughout the application (the file is included on every page). I'm in two minds about how to do this
1) Include the file from GCS
2) Store the information in a table on Google Cloud SQL and query the database on every page through an included file.
Or am I better off using one of these options and then Memcache.
I've been looking everywhere for what is the fastest option (loading from GCS or selecting from cloud SQL), but haven't been able to find anything.
NB: I don't want to have the files as normal php includes as I don't want to have to redeploy the app every time I setup a new subdomain (different users get different subdomains) and would rather either just update the database or upload a new config file to cloud storage, leaving the app alone.
I would say the most sane solution would be to store the configuration files in the Cloud SQL as you can easily make changes to them even from within the app and using the memcache since it was build exactly for this kind of stuff.
The problem with the GCS is that you cannot simply edit the file and you will have to delete and add a new version every time which is not going to be optimal in a long run.
GCS is cheaper, although for small text files it does not matter much. Otherwise, I don't see much of a difference.
Hi guys I've dumped (made a backup) of my Appengine datastore entities,following this tutorial, now I wonder if there is a way to restore the data locally ? so I can do some test and debug.
In windows, the datastore is in the directory
C:\Users\UserName\AppData\Local\Temp\AppName
In OSx this question can help you
In this directory are storade the datastore.db (the local storage), change the name (the app should not be running, and if is locked, kill all the python process)
Now go to the appengine dashboard
click in your app link
click in Blob Viewer (i'm assumming that you did the backup into a blobstore)
click in the file name
click in download
rename the file to datastore.db
copy to the previous path
start the app
Remote API (as koma mentions) is the main GAE-documented approach, and it's a good approach. Alternatively, you can download the entities using the cloud download tool, write your own store reader/deserializer, and execute it within your dev server local instance: http://gbayer.com/big-data/app-engine-datastore-how-to-efficiently-export-your-data. Read the part about the New Approach...
While these options are not automatic and require engineering, I really wanted to point out the side effect of doing this: We have been facing performance issues in the local development server for months now, specifically when the datastore has more than 1,000 entities with over 50 indexes. Just search for "require_indexes slow" and you'll see what I'm talking about.
I'm sure you have a solid reason to import lots of data locally for testing and debugging, just wanted to let you know your application will perform extremely slow, and debug mode will be impossibly slow; we can't even use debug mode with our setup anymore.
If you want to get some test data in your local db, you could copy some using the remote api
I have just started using GAE (Python 2.7 SDK 1.6.4) , I have set up a
simple test project using Pydev (latest version) in eclipse (indigo)
on Windows XP (SP3).
It all works fine, my app can record data in the datastore and the blobstore
and then retrieve it, but when I stop the development server and start
it again the data in the datastore is lost. This is not the case for
the blobstore which is retaining blobs fine and I can see the
blobstore folder that gets created in C:\Temp
I did the sensible thing and look back through old posts and found
that most people who have this problem solve it by changing the
location of the datastore file, so I used the following parameters;
--datastore_path="${workspace_loc}/myproject/datastore"
--blobstore_path="${workspace_loc}/myproject/blobstore"
"${workspace_loc}/myproject/src"
I moved the blobstore at the same time as you can see.
The blobstore still works, and now the blobstore folder is created in
myproject folder as expected. The datastore file is still not created
however, and when I stop and restart the development server the data
is still lost.
The dev server startup logs include the following entry
WARNING 2012-04-20 10:49:04,513 datastore_file_stub.py:513] Could not
read datastore data from C:\myworkspace\myproject\datastore
So I know it is trying to create the datastore in the correct place.
Finally I lifted the whole eclipse workspace folder and copied it to
another computer with exactly the same setup except it is running
Windows 7 instead of Windows XP.
Everything works fine there - both the datastore file and blobstore
folder are now created where I expect them to be.
I have set up eclipse, python, gae, my project and my eclipse launch
file in exactly the same way on two computers, it works on one and
not the other. Maybe XP is something to do with it but to be honest I
think that's unlikely.
The only other clue I have come up with is that a recent change to the
GAE development server stopped writing to the datastore file after
every change and only flushes on exit, this problem may be closely related to mine;
App Engine local datastore content does not persist
However adding the following to my code did not help at all.
from google.appengine.tools import dev_appserver
import atexit
atexit.register(dev_appserver.TearDownStubs)
So it's not down to incorrect termination sequence either as far as I
can tell although it may be that I was just added it in the wrong place (I'm am new to python).
Anyway I am stumped and I would be really grateful for suggestions you
guys can come up with.
It's probably http://code.google.com/p/googleappengine/issues/detail?id=7244 and a bug. Hopefully a fix will be available soon.
did you try:
--storage_path=...
Path at which all local files (such as the Datastore, Blobstore files, Google Cloud Storage Files, logs, etc) will be stored, unless overridden by --datastore_path, --blobstore_path, --logs_path, etc.
found at https://developers.google.com/appengine/docs/python/tools/devserver?csw=1