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In MySQL Workbench, you can right click the table or the schema, and choose Search Table Data. Can a query within a serialized array break down. Learn how to use and query JSON data in your MySQL databases. This tutorial was verified with MySQL v, PHP v Data from python pandas dataframe instances can be written into MySQL database tables. Data can be loaded from MySQL tables into pandas dataframes as well. NETSCALER GATEWAY CITRIX

Asked 10 years, 11 months ago. Modified 9 years, 7 months ago. Viewed 11k times. Improve this question. Kermit Tahola Tahola 2 2 gold badges 16 16 silver badges 34 34 bronze badges. Add a comment. Sorted by: Reset to default. Highest score default Date modified newest first Date created oldest first. Improve this answer. Mirage Mirage 31 5 5 bronze badges. Marc B Marc B k 41 41 gold badges silver badges bronze badges. No sorry i just edit my code for post here, in my application i use the good one.

Sign up or log in Sign up using Google. Sign up using Facebook. Sign up using Email and Password. Post as a guest Name. Email Required, but never shown. The Overflow Blog. Time to get on trend. First of all, we will take one PHP array that contains the user data as follows. So when is it a good idea to store SQL serialized Data with this technique? If the application really is schema-less and has a lot of optional parameters that do not appear in every record, serializing the data in one column can be a better idea than having many extra columns that are NULL.

Simply use the IN statement, but put the field itself as array! This serialized array was necessary because I cannot duplicate the records just for storing what id they were children of. This page explains how to update existing data in a MySQL database.

But now we realize that our data contains a mistake. Apples have been assigned a UnitId of 1 — but this should be 2. To update the sales representative employee number column in the customers table, we place the query above in the SET clause of the UPDATE statement as follows: If you query data from the employees table, you will see that every customer has a sales representative.

In other words, the following query returns no row. Begin typing your search term above and press enter to search. Press ESC to cancel. Harry Davis Table of Contents. Previous Article How do I copy a local profile to a roaming profile? Back To Top.

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Firebase has Android, iOS, and Web SDKs; and a console where you can develop, manage, and monitor all the data and analytics from one place. Firebase real-time database is good for online presence and instant feed updates, while Firebase Firestone is good for user profile and other relational data records. Firebase has a UI SDK which makes it easy to interface with the resources in the project, and with tons of tutorials and starter projects it should be easy to quickly have a decent prototype to iterate upon.

Since you said Massive, use their pricing calculator to figure if your expected scale will be covered by the free quota or if you go for the pay-as-you-go that the price is reasonable for your project. It sounds like a server-client relationship central database and while SQLite is probably the simplest, note that its performance is probably the worst of the top 20 or so choices you have.

It is different from Firebase and MySQL and most other databases in that it is embedded in the product, although it could be embedded in your server itself. But architecturally, they are in the same category as MySQL, a separate db server that your application server would get its data from. Firebase is different yet again, in that it is a service that is already hosted by a company, providing many integrated features such as authentication and storage of user account info.

However it does take care of many of the concerns with running a server, such as performance, scalability and management. There are some negatives that you should be aware of though: any investment of time and coding with Firebase is pretty much non-portable, in that you are stuck with Firebase going forward. If you needed to switch to a different service, not only would it be a different API, but it would be a different architecture and much of your coding would need to be discarded.

Second, it's owned and run by Google now, so you have a large corporation backing it, but that also means they could decide to discontinue it without any real effect on the Google bottom line. Also some folks would have concerns with storing data on Google servers. That said, I think if you are aware of these in advance, and especially if you are a high school student, that Firebase is a fairly easy winner here.

The server is already set up for you, the documentation is very complete and rich, with lots of examples, and Google is not going away. The main concern would be if it really is massive, there could be a rising cost to the service.

I suspect though that it is not massive, even if everyone in a school used it. The number of concurrent connections would not be huge probably not even into the hundreds, even if there are thousands of users. I'd go with Firebase even though you will need to learn their API, because you'll need to learn something one way or another. SQLite is a bit of a toy database, and MySQL is a real one but you or someone would need to manage that server on top of needing to develop the server and client app.

With Firebase, much of the server already exists, including a professionally hosted database. There are tons of high-level features provided and initial cost is somewhere between very low and zero. Part of this is dependent on what language you want to write this in. Javascript for a cross-platform client app I'd use Vue. ObjectDB is very very fast and can be separated out into a scalable server if this became truly massive. But you would probably never need to go that far.

All of this is a lot of work. I hope this isn't for something like an assignment. It is in the order of 6 months of work if you know what you're doing, all year if you're learning as you go. Don't think you can go wrong with MySQL or postgresql. Great visualization and administrative tools for both. There are some data-mismatch problems, however.. If you're using go-lang, then RocksDB is a great high-performance data-modeling base it's not relational how-ever It's more like a building-block for key-value store.

I'm very familiar with SQLite.. Personally my least favorite, but it's the most portable database format, and it does support ACID.. Perfect for unit-tests. Can use simple dumb portable formats e. Java has a lot of overhead, so this is only really viable if you're already using Java in your project.

Falls into the mysql-swiss-army-knife tool-kit. Similarly with in-memory there is "redis".. Absolutely a joy to work with. It too is a specialty swiss army knife. Steer clear of redis for primary data that you can't lose.. Plus I love that redis uses a pure-text protocol so I can netcat or telnet directly into it and do stuff. I've loved cloud-data-stores.. You can play all day.. It's a very very different data-model though.. They give you a very very few set of tricks that let you do complex data-modeling - and you have to be clever and have enough foresight to not block yourself into a hole or have customer abuse expensive queries.

They're incredibly efficient at what they do. And they have a lot of plugins to do almost anything you need. But their discipline is very different than all the other's above. MySQL has a lot of strengths working for it. It's simple and easy to set up and use. It's JSON engine is also really good these days.

Mongo is also simple to setup and use, and it's speed as a document-object storage engine is first class. Where Postgres has both beat is in it's combining of all of the features that make both MySQL and Mongo great, while adding on enterprise grade level scalability and replication. It's Postgres' stability and robustness, while still fulfilling the roles of it's contemporaries extremely well that edge Postgre for me. But after improving my JS skills, I chosen Node.

Because of too many reasons including npm, express, community, fast coding and etc. MongoDB is so good for using with Node. If your JS skills are enough good, I recommend to migrate to Node. We looked for a couple of alternatives and found MongoDB as a great replacement for our use case. Read how a migration of live data from one database to another worked for us. My data was inherently hierarchical, but there was not enough content in each level of the hierarchy to justify a relational DB SQL with a one-to-many approach.

It was also far easier to share data between the frontend Angular , backend Node. This allowed me to skip the translation layer from relational to hierarchical. You do need to think about correct indexes in MongoDB, and make sure the objects have finite size. For instance, an object in your DB shouldn't have a property which is an array that grows over time, without limit. In addition, I did use MySQL for other types of data, such as a catalog of products which a has a lot of data, b flat and not hierarchical, c needed very fast queries.

It also suffered from a poor design, with certain features being a bit difficult to find. Meanwhile, phpMyAdmin lacked schema visualization tools and seemed better suited to lightweight day to day transactions than some of the big jobs that we needed to do. Highly scalable, configurable and easily maintainable. Look again. We wanted a JSON datastore that could save the state of our bioinformatics visualizations without destructive normalization. Plus it's open source, and has an enterprise SLA scale-out path, with support of hosted solutions like Atlas.

Mongo has been an absolute champ. In the field of bioinformatics, we regularly work with hierarchical and unstructured document data. Unstructured text data from PDFs, image data from radiographs, phylogenetic trees and cladograms, network graphs, streaming ECG data As such, we prefer to use document oriented databases.

MongoDB is probably the oldest component in our stack besides Javascript, having been in it for over 5 years. At the time, we were looking for a technology that could simply cache our data visualization state stored in JSON in a database as-is without any destructive normalization.

MongoDB was the perfect tool; and has been exceeding expectations ever since. While there's been some very clever techniques that has allowed non-natively supported geo querying to be performed, it is incredibly slow in the long game and error prone at best. I prototyped with this, as MySQL is the most familiar database to me.

But no matter what I did with it, how much tuning i'd give it, how much I played with it, the results would come back inconsistent. I figured, at this point, that SQL Server, being an enterprise solution authored by one of the biggest worldwide software developers in the world, Microsoft, might contain some decent GIS in it. Postgres is a Database solution i'm still getting familiar with, but I noticed it had no built in support for GIS.

So I hilariously didn't pay it too much attention. I happen to point my asp. The application also had challenges creating a migration schema of asp. After a thorough research I figured out how to do it and also made a video and uploaded to youtube. Get Advice. Follow I use this. Needs advice. The most important question is where are you planning to host? On-premise, or in the cloud. Hello, I am trying to design an online ordering app similar to Doordash or Uber Eats.

I asked my last question incorrectly. Rephrasing it here. Thanks, Raj. Which would be better for this application? I have not dealt with a sound based data type before. How do I store that and put it in a table? Hi Erin, Honestly both databases will do the job just fine. I personally prefer Postgres. You'll get all the features you need with PostgreSQL.

MongoDB might be an excellent option as well if you need "sharding" and excellent map-reduce mechanisms for very massive data sets. You really should investigate the NoSQL option for your use case. Starting with AWS Aurora is an excellent advise. I recommend Postgres as well.

Superior performance overall and a more robust architecture. If MySQL Workbench can solve this as the product is available on Mac , I am more than happy to proceed with this approach if it can achieve the same goal of connecting an azure database with my Power BI application What I am trying to achieve is fairly simple: have an online cloud database that connects to my Power BI application I am open to any other solutions as well Thank you.

Good luck with the project! CTO, Architect at Sarvasv. It was very disappointing. I was very disappointed. Get Advice from developers at your company using Private StackShare. Sign up for Private StackShare. Pros of MySQL. Pros of MySQL Sign up to add or upvote pros Make informed product decisions.

Cons of MySQL. Cons of MySQL Sign up to add or upvote cons Make informed product decisions. What is MySQL? MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software. It enables a DBA, developer, or data architect to visually design, model, generate, and manage databases.

It includes everything a data modeler needs for creating complex ER models, forward and reverse engineering, and also delivers key features for performing difficult change management and documentation tasks that normally require much time and effort. Software Engineer, Machine Learning Platform. Site Reliability Engineer. San Francisco, CA. Physical Security Systems Engineer. Machine Learning Engineer, Homefeed Relevance. Of course, I could use PHP to query the database and then unserialize the data and grab what I needed, but this was a quick request which I needed to spend minimal time on.

The first argument is the search string which we formulated at step 1. Now we have a string that has our value but a lot of preceding serialized cruft eg. This time we want to search for the first occurrence of the delimiter, but using a negative number we can tell the function to return all the string after the delimiter, instead of before it.

Do you use an alternative method? Let me know in the comments. Can you explain how to modify this code to work with serialised array of arrays.

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