How to build a small documents storage?

How to build a small documents storage?

By : Devin Acker
Date : December 01 2020, 04:55 PM
may help you . Why not use JackRabbit, which is a JSR-170 compliant Java document store ?
code :

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MongoDB Schema Design - Many small documents or fewer large documents?

MongoDB Schema Design - Many small documents or fewer large documents?

By : user2063780
Date : March 29 2020, 07:55 AM
To fix this issue You'll definitely need to optimize for the queries you're doing.
Here's my best guess based on your description.
many small documents or less big documents

many small documents or less big documents

By : swimly
Date : March 29 2020, 07:55 AM
this will help I have an application with many messages. Every user is able to select one message in order to send this message to an other user. Finally this message will get an flag ('message was send to: user1, user2,...) Those send informations should be stored in mongoDB. Now I'm thinking about 2 different ways: , Using keys as values, like you do in:
code :
db.messages.find( { 'username1' : { $exists: true } } );
db.messages.find( { sender: 'username1' } );
    { 'msgid' : '867896', sender: "username1" },
    { 'recipient': { $push: "user4" } } 
db.messages.ensureIndex( { sender: 1, msgid: 1 } );
Using Neo4j to store a lot of small xml documents

Using Neo4j to store a lot of small xml documents

By : derek
Date : March 29 2020, 07:55 AM
help you fix your problem TL;DR I don't think Neo4J cares in principle which method you choose, but the method should be driven first by your desired semantics, and in practice you may find that if your data is large and connected enough enough Neo's lack of vertex-centric indexes may push you to a database like Titan. Or you may be over-modeling the problem and should just use MySQL.
Longer explanation: A billion documents with a thousand elements each (and an unspecified connectivity between those elements) starts to sound like a few terabytes of data. At this scale, regardless of database engine, you need to understand anticipated query plans unless you plan your database to be simply custodial.
Cosmos DB giving 'Storage quota for 'Document' exceeded' for small documents

Cosmos DB giving 'Storage quota for 'Document' exceeded' for small documents

By : Sanjay Kumaran
Date : March 29 2020, 07:55 AM
hop of those help? According to https://docs.microsoft.com/en-us/rest/api/documentdb/http-status-codes-for-documentdb
403 is also returned during a POST to create a resource when the resource quota has been reached. An example of this is when trying to add documents to a collection that has reached its provisioned storage.
How to delete the build cache while building documents using WebSupport.Build in sphinx?

How to delete the build cache while building documents using WebSupport.Build in sphinx?

By : cheri
Date : March 29 2020, 07:55 AM
wish of those help This is the solution I have found working for me: Removing builddir if it exists only to remove the previous build.
code :
import os
import shutil
from sphinxcontrib.websupport import WebSupport

def build_doc(srcdir, builddir):
    if os.path.exists(builddir):
    support = WebSupport(srcdir=srcdir, builddir=_builddir,search="xapian")
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