Are they ALL indexed by default? Should I index them? If so, how? By directly talking to mongodb?
Thanks!
When you use parse-server you must maintain the DB indexes on your own.
Parse.com did it for you but since parse.com shut down their service and open source it (parse-server) you need to maintain the indexes on your own.
You have multiple options to create indexes in MongoDB:
via MongoDB shell
via MongoDB client tools (e.g. Compass, Robomongo etc.)
via code
The must easiest option is 2
Related
I am working on a smaller project. I have two tables e.g. properties and agents. One property can have many agents. How can I update data in both tables using one query?
Here is the link to update data in postgres How I can update one to many relation in Postgres?
Supabase uses postgrest under the hood for the RESTful api, currently the suggested solution there is to write an rpc() function and call that.
Alternatively, since Supabase is just PostgreSQL, you always have the option of connecting directly using any postgres client and using the postgres solution you mentioned in your question.
I need to figure out a way to migrate our Javers audit data from DocumentDB to another independent repository than our domain data.
Does javers currently have any mechanism we can use to take our existing data and insert it properly into a second DB without having to manually map the data?
There is no migration tool. There are two javers' collections in MongoDB: jv_snapshots and jv_head_id, it's easy to copy them manually.
I recently was working with liquibase which is capable of generating the initial DDL script for my JPA entities.
I am trying to do the same for my entities which has Neo4j as the store. Is there any library like liquibase which I can use to get my work done. Can someone put light on this ?
Is there a need in Neo4j to have initial scripts just like rdbms store needs initial CREATE(and other DDL scripts) scripts to insert,update etc ?
I don't want to use the auto capability of spring boot.
There is no need in Neo4j to create or update schema itself, as you're doing in SQL. Schema is dynamically builds from the data you have in your database.
But if you're trying to manage migration of the data stored in your database, you can take a look at liquigraph. It's able to manage a CYPHER queries within changesets.
As part of my bachelor's thesis I'm building a Microservice using Postgres which would in part replace an existing part of an application using MongoDB. Now to change as little as possible at the moment on the client side I was wondering if there was an easy way to translate a Mongoid::Criteria to an SQL query (assuming all fields are named the same, of course), without having to write a complete parser myself. Are there any gems out there that might support this?
Any input is highly appreciated.
Maybe you're looking for this : https://github.com/stripe/mosql.
I don't dig it but it seems to work for what you need :
"MoSQL imports the contents of your MongoDB database cluster into a PostgreSQL instance, using an oplog tailer to keep the SQL mirror live up-to-date. This lets you run production services against a MongoDB database, and then run offline analytics or reporting using the full power of SQL."
I could see there are two ways to index a database records in GSA.
Content Sources > Databases
Using DB connector
As per my understanding, Content Sources > Databases does not support automatic recrawl. We have to manually sync after any changes occured in DB records. Is that correct?
Also, Would using DB connectors help in automatic recrawl?
I would like to check DB in every 15 minutes for the changes and update the index accordingly. Please suggest the viable apporach to achieve this.
Thanks in advance.
You are correct that Content Sources > Databases does not support any sort of automated recrawl.
Using either the 3.x Connector or 4.x Adaptor for Databases supports automatic recrawls. If you are looking to index the rows of databases only and not using it to feed a list of URLs to index then I would go with the 4.x Database Adaptor as it is new.
The Content Sources > Databases approach is good for data that doesn't change often where a manual sync is acceptable. That said though, it's easy enough to write a simple client that logs in to the admin console and hits the 'Sync' link periodically.
However, if you want frequent updates like every 15m I'd definitely go with the 4.x plexi-based adaptor, not because it's newer but because it's better. Older versions of the 3.x connector were a bit flaky (although the most recent versions are much better).
What flavour DB are you looking to index?