Seawater desalination system market is anticipated to grow at a CAGR of 8.6% during the forecast period. This Seawater Desalination System Market research report focuses more on a number of distinctive as well as foremost market sectors. It further focuses market segmentation. Industry-specific interviews are carried out with market players to foresee future business growth. Various facets of the industry are also depicted here under each industry sector. Future development visions and a wide range of subjects are covered in this Seawater Desalination System Market study report. All this crucial data greatly assists key players to establish their presence in the competitive market. It verifies and revalidates the knowledge provided in this global Market report. It also allows several organizations to learn more about a range of opportunities already available in the market and makes aware to firms about upcoming opportunities too. It ensures several firms to attain a long-standing business success by capturing all of the latest updates about market growth. Most important participants are able to employ such report as a great resource to attain a competitive advantage over the cut-throat market.
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With the help of apparent insights depicted here into a wide range of product and service releases by key competitors in the market, novice players are able to position themselves in the vast market. It is an indispensable need to get detailed idea to track future business growth and this Seawater Desalination System Market research report is the best medium to get that vision. It also aims at providing market environment along with covering complete market information. Seawater Desalination System Market research report also enables business owners to have firm grasp over what consumers exactly expect, their future demands, wants and preferences by offering detailed customer related data. It further discusses about key market players and ongoing latest trends.
This informative yet easy to understand Seawater Desalination System Market study report covers wide-ranging product launch wise latest trends, regulatory shifts and other important factors, which are expected to affect the overall industry growth for the approaching time span 2022-2028. It aims at providing detailed knowledge about what customers exactly want from which key players can make sound decision making for the growth of business. It also aims at measuring marketing effectiveness. SWOT Analysis technique is also employed to form the market research report to cover helpful opportunities, possible challenges and threats. Impact of new corona virus on the global economy is also shared in this Seawater Desalination System Market report. Collaborations, mergers and acquisitions like strategies are also covered in this market study report.
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· Market Coverage
· Market number available for – 2023-2030
· Base year- 2022
· Forecast period- 2023-2030
· Segment Covered- By Source, By Product Type, By Applications
· Competitive Landscape- Archer Daniels Midland Co., Ingredion Inc., Kerry Group Plc, Cargill
· Inc., and others
Market Segmentation
Global Seawater Desalination System Market by Technology
o Reverse Osmosis (RO)
o Multi-stage Flash (MSF) distillation
o Multi-effect Distillation (MED)
Global Seawater Desalination System Market by Application
o Municipal
o Industrial
Regional Analysis
o North America
o United States
o Canada
o Europe
o UK
o Germany
o Italy
o Spain
o France
o Rest of Europe
o Asia-Pacific
o China
o India
o Japan
o South Korea
o Rest of Asia-Pacific
o Rest of the World
Company Profiles
o Abengoa, S.A.
o Aquatech International LLC
o Biwater International Ltd.
o Hangzhou Water Treatment Technology Development Center Co., Ltd.
o Hyflux Ltd.
o IDE Technologies
o Metito Ltd.
o Shanghai Safbon Water Service Co., Ltd.
o VA Tech WABAG Ltd.
o Water & Environment Technologies Co. Ltd. (WETICO)
The Report Covers
​

• Market value data analysis of 2022 and forecast to 2030.
• Annualized market revenues ($ million) for each market segment.
• Country-wise analysis of major geographical regions.
• Key companies operating in the global seawater desalination system market. Based on the availability of data, information related to new product launches, and relevant news is also available in the report.
• Analysis of business strategies by identifying the key market segments positioned for strong growth in the future.
• Analysis of market-entry and market expansion strategies.
• Competitive strategies by identifying ‘who-stands-where’ in the market.

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6 months na kami ng partner ko. Yung una kong pamaginip, nahuli ko ata siyang may ka-date HAHAHA. Tapos sa second time kong panaginip, nahuli raw siya ng pinsan kong nakikipag-sex. Tapos kinuwento lang sa akin. As in tandang-tanda ko pa yung panaginip ko, yung eksena, pati yung naramdaman ko parang totoo talaga. I guess galing din to sa fact na nagcheat yung boyfriend ko sa last ex niya. So siguro may issue pa rin ako don??? Pero before maging kami, nilinaw naman na niya lahat at sure na di niya magagawa yun because yung habits niya nakikita ko naman na gusto niyang magbago para sa sarili niya, basta more on pinapairal ko dito yung gut feeling ko ganon or emotions.
Ngayon, di ko alam kung i-oopen up ko ba sa kanya to kasi panaginip lang din naman at di siya totoo, kaso pinapractice talaga namin ang open communication so kung nakakabother sakin, I guess dapat bang i-open ko sa kanya or no need? Sa mga nakapanaginip na ng ganto, sinasabi niyo ba sa partner niyo yung mga panaginip na nag-cheat sila sa inyo?

I'll try to keep this short, since I mostly want to vent/ramble. Sorry I'm just going to type and not really go back and make this super coherent.
I'm non-binary, afab, and female presenting. My ex is cis female. We're both in our mid-20s but I consider myself a late bloomer in dating and this was my first serious relationship so I get that this whole situation is gonna feel horrible for me. My ex and I are no contact since November and we both have each other blocked everywhere so there's 0 chance of us seeing anything or messaging. We don't even have friends in common anymore since we were long distance (aside from one or two people but they are distant friends of both of us), and the break occurred right before I was supposed to move in with them. (They had been insistent that I move in because they hated the distance for a while so it was quite the surprise when they said they wanted to break up.) I did some therapy, had to stop because I couldn't afford it after some time. I know moving on from a break up doesn't have real deadlines, but I hate feeling like I make progress and then fall back several steps or even back to step one. Admittedly I had a period where I felt fine and then for the past month it's gotten bad again. I know I deal with some degree of depression and anxiety, but that isn't my first rodeo with those illnesses.
I feel like I messed up somehow and I don't know what and I feel like that makes me horrible for not knowing how what bad thing I had done to cause the break up. The last couple conversations I had with my ex, where I we talked about what went wrong between us, I got some vague reply about something I did post-break-up. But if it happened after I feel like that can't "cause" a break up, so maybe they were trying to save my feelings, which honestly hurts more because I won't be able to improve for the future if I don't know what I had done wrong in the past. Maybe it's a lack of my own self-awareness.
For a while she was adamant about wanting to be my friend post-breakup, enough to message me saying she was sick and taking time off work and wanted to co-op in a game that day. (I declined, it was literally a few days after she said she wanted to break up, like... damn I don't get over things that fast, even if I have the chance of being your friend after.) And then in November I messaged her and was told never to speak to her again. (My friend said she was saying something about our relationship being toxic over social media, screenshots as proof, and I confronted her, because why would I want to be friends with someone who sees me like that.) She said something about how she has done nothing but love me and not to speak to her again so I didn't. Mistake mentioning it at all, I know, but I guess it's cutting off someone that didn't really want me around anyway. My friend kept me posted for a while, she started posting about how she hoped I healed or that she was wishing me well. Eventually I asked for them to stop because I didn't exactly want to keep tabs on how my ex was feeling, I felt shitty enough already and I didn't even want the relationship to end.
TL;DR. Having bad feelings come back (enough to trigger my depression and make me unable to get out of bed and do basic things like eat) despite have little to no reminders of my ex now. (Just intrusive thoughts.) Thought it was over and done with. Frustrated it's taking so long to move on. The end of the relationship was confusing for me. I think I did something wrong but I honestly don't know. I probably just need to accept that the closure just won't ever come, despite asking when we were still on speaking terms.

When I was in high school and the thing was rock hard all the time, like any teenage boy does I measured it’s length. At first I measured from the bottom and thought I had a nine inch cock and walked around feeling like super man till a girl showed me the proper way to measure from the top.
Still, measuring in at 7-1/4 inches I knew I was above average and I more or less kept that in my back pocket as an ego boost when I needed it, oh I failed 10th grade math? At least my dick is bigger then average.
But that’s just it, I thought I was just above average, nothing to actually brag about nothing to write home about just above average.
Well here I am at 30 and my latest girlfriend wanted to measure my dick, having gained a lot of weight since I was younger I was a bit worried how I would measure up, actually I was a lot worried.
Before we got to the measuring we googled the averages and it turns out that 7 inches is only the top 2% of dicks. So in highschool I wasn’t just above average I was fucking huge.
Back to the story, so my girlfriend gets me hard and if I’m honest she only got me to 70-80% hard when she decided to measure
I came in at 5.9 inches long and 5.5 inches around.
When we pressed and squeezed my pelvic fat out of the way (which I’ll tell you was the least sexy ive ever felt with a girls hand on my dick) I got to 7.1 inches long.
So for you fat guys worried about size, loose some weight and you’ll be packing!
So here I am, measuring 7.1 long and 5.5 around knowing I’m not even fully hard And we are looking at the averages 5.16 long and 4.59 around (2014 study of 15 000 wangs)
And she’s looking at me wide eyed like she just discovered King Kong.
How did I feel? Discovering I’m so much bigger then the average?
I straight up insisted we measure again cause I was certain we somehow did it wrong.
My whole life I thought I had a skinny penis, I’ve always said “I’m above average in length but below average in girth” I was sure I wasn’t girthy. It looks so skinny.
I’ve been selling myself short (or should I say thin) for over a decade!
So I guess the point of this is;
MEASURE YOUR DAMN WANGS BOYS! You’re probably bigger then you think you are!
As for the crippling penis insecurity, six years in an abusive relationship where she specifically sought to cripple my sexual confidence combined with an eating disorder where I gained 150lbs left me with a depressingly small flaccid penis and a minor case of erectile dysfunction
Turns out my flaccid penis is actually an inch girthier then the average flaccid penis so that is a nice boost to the ego. And it’s actually very common for penises to have 3-5 inch disparities between soft and hard. So I guess I shouldn’t be to disheartened by my flaccid size.
But the point of adding this is to say Male abuse happens, you are not alone! Don’t be ashamed! Seek the help you need! Tell your friends! Escape it!

I just started listening to Cormac McCarthy on audiobook for the first time, starting chronologically with "The Orchard Keeper." I'm really enjoying the story, but I'm finding it VERY difficult to keep track of what's happening. It feels like there are already 5 separate timelines, and two of them involve two separate inns (?). Is this typical for a first-timer or do my measly braincells need to rub two sticks together a little harder?

I know this is going to sound very dramatic to a lot of people since most people love their birthday and want others to aknowledge it, but I'm hoping at least someone here will understand.
I don't celebrate my birthday and ever since I was a child, I have always felt extremely sad during that time. There are several reasons for this, but the bottom line is it's an incredibly personal and vulnerable time for me. I consider the exact date of my birthday an extremely intimate information that I wouldn't even disclose to very good friends.
Unfortunately, I was recently required to fill out my personal information (personal address and date of birth) and send it by e-mail to two people in the company for work-related purposes. And unfortunately, this coincidentally happened close to my birthday. I already felt quite vulnerable sending out my information by e-mail, but I hoped they wouldn't notice, and that if they did, that the information would be handled professionally and with confidentiality. The next day, I came to e-mails wishing me happy birthday, including a photo of a cake. I know this doesn't seem like a big deal, but due to my personal situation, I was quite shook up and had to go to the restroom to cry.
The reason it affected me this much is not just being wished happy birthday in and of itself (I deal with this with my family, and while it does make me sad, I can handle it), but mainly the fact that I feel like my privacy was violated when I shared sensitive information in confidence. I do understand they didn't have bad intentions and that they didn't know about my situation. That being said, I believe that this is exactly why one shouldn't put someone on the spot about potentially sensitive life situations, especially in a professional environment - you never know someone's story. My birthday is not related to my work activities, it is a part of my private life, and I find it a bit inapproprite to make comments on information that was shared with you strictly for business purposes. Normally it would be illegal for my employer to disclose my personal information to other employees, but in this situation, I can't complain because I shared it myself - I feel like I was backed into a corner though. I didn't have the choice to refuse. How can I even react if they bring it up again without being rude?

I feel bad even thinking that, but it’s true. In just under a month, I’ve come to realize just how much stress she actually brings me, and how much trauma I’m constantly reliving because of her actions. Not only that, but I think having been in jail may have actually been somewhat helpful to her mental state.
I won’t get into all of the details, but a short history of our relationship is as follows:
She started using meth quite regularly years before I was born, and although she stayed sober while pregnant, it colors our relationship to this day. At age 6 she was charged with the neglect and abuse, of my brother and I. We would from that moment on, live with her mom (my grandma). At age 8 she came to grandma’s house and threatened to kill her, and kidnap my brother and I. She’d be arrested, but no charges were brought against her. From then until age 12 we’d see her sporadically for supervised visits, many of which she didn’t attend. When I turned 14 she started suffering from meth psychosis , one of the main symptoms of long term meth use. Because she was less grounded in reality, she was much more dangerous to be around. While she had never actually attacked, only threatened to do so, in the past, she became much more ready to fight anyone, including Grandma, my brother and I. For safety reasons, a protection order was granted, and we cut all contact with her. I still have nightmares about some of the things she threatened to do to me. When I was 16 (2020) I got a call from CPS stating that my little sister had been found with my mom in the middle of the road, starving and surrounded by needles. Up until that point, I didn’t know I had a sister. She was 2 weeks old then. I was given temporary guardianship over her, and eventually, my aunt would legally adopt her. I ended up missing a lot of school to get my sister to doctors appointments, court hearings and CPS visits. I very nearly dropped out if I’m being honest.
Now I’m 19, and in college, although; I’m home for the summer. Twice now, she’s shown up at our house unannounced, with a stolen car. The first time, it took police 5 hours to get to the house and arrest her. While she wasn’t acting violently, she wasn’t all there, and was yelling at me for killing her daughter (I think she was referring to my sister) and stealing something to the tune of $800,000 from her. When police finally arrived, meth was discovered on her person, and it was revealed that she was driving a stolen car without a license.
She spent a little less than a month in jail, during which I called her somewhat regularly. For the first time in my life, I knew where she was, and that she had a roof over her head, and food. She was given medication to help manage the hallucinations, and overall, seemed ok She very much was not happy, but she was the safest she had been in a long time.
Today she appeared at the house again. She spent some moments in reality, and others very much not so. She switched from yelling at invisible voices, to yelling at me for pimping her out, stealing money or killing/selling into sexual slavery my sister, to telling me she loves and misses me. It was frankly exhausting. When I called the police, I was informed that they would not be coming again. She had hitchhiked, so there was no stolen car, she was threatening me, and apparently my restraining order had expired when she was in jail. No crimes had been committed.
It took a long time, but eventually we convinced her to go back to the city. My brother and I drove her to the nearest train station and bought her a ticket. She asked that we print out a picture of my brother, my sister and I, before she left, which we obliged. It breaks my heart to send her down there knowing she has nowhere to go, but I don’t know what else to do. We’ve put her through rehab multiple times, grandma used to pay her rent so she wouldn’t be homeless so long as she stayed of meth, we’ve all offered her jobs, and to pay for therapy. Nothing has worked.
If she were in the right mind, she wouldn’t be a danger to us. We are no longer reliant on her. I know that she loves my brother and I and her whole family, but she’s at the point where she’s absolutely convinced that we’re out to get her, and that she must retaliate with any means available to her.
At least when she was in jail, I could still contact her safely. She was detoxing, and more often than not grounded in reality.I could hold a full conversation with her for the first time in years. I knew she was being fed, and that she was at least somewhat safe. It feels mean, but I really just wish that she would just stay in jail.

I've had this error too many times today, it's ridiculous.
The weapon unlocks also don't count for sh%t if disconnected with this error, it's like I wasted 20 minutes playing TDM, just to have everything deleted.
Worst season release ever, fix your crap!
P.S. No, verifying the client files doesn't do f0k all! Same thing with updating the anticheat...

So I've been working on this for a while.
I always wanted a continuation to the series, even before I knew about Evolution. And I had a bunch of ideas for the longest time. Then when I saw Evolution and when it ended on a cliff hanger, I knew if I wanted an ending to the series that satisfied my questions, I would have to write it myself
https://www.fanfiction.net/s/13356971/1/Code-Lyoko-Evolution-Season-2
I wanted to get this out to people, see what they think. This is the first chapter I've posted on the CL reddit. I always thought Reddit was a toxic place. Thanks everyone here for proving me wrong.
I don't know much about optimal posting, what buzzwords I should use to gain attention or how to raise a crowd, but I know the CL community is pretty nice, so I thought I'd put this out there to see if people like my version of a continuation. If not, then no big deal. I'm still going to finish it because I don't like leaving work unfinished.

Hi all,
For about a week now, my 18 month old son, has been having temper tantrums. Not at daycare, just at home. From the moment he wakes up, he starts screaming and only stops when you feed him smth. Right after he is done with a cracker or other food, he will immediately ask for more. If he does not get more food, he screms bloody murder. Mind you, this is all just in the first hour he wakes up, right before we drop him off to daycare.
Before his sleep time, same story, just screaming, throwing himself down until it is milk time.
He is not speaking yet so my husband assumes he is having a growth spurt.
I am a first time mom, so I worry over everything. Do you have similar experiences? What works for you in these cases?

I am new to survival analysis. I want to find proteasome genes that significantly impact survival in Kidney renal carcinoma. I have downloaded KIRC (Kidney Renal) dataset from TCGA . I am using TCGAbiolinks package for all my preprocessing on my dataset. I performed DEA and shortlisted proteasome genes I found in the DEGs. logFC cutoff for DEA was 0.5. I got 38 proteasome DEGs which i then used as input for multiple variate cox proportional hazard model in R, My survival time is days_to_last_follow_up and event is vital_status (alive or dead). I narrowed down to the most significant genes according to p-value from the results. I calculated z-scores for the significant genes only and classified them into high, mid and low based on the z-scores, I then ran Kaplan meier using these genes to find the survival probability and plotted kaplan curve. All analysis was done using survival and survminer packages in R. I am not sure if this approach is logically correct and comprehensive. I have not had any proper guidance. Any guidance and corrections would be very helpful.
Thankyou.

Application development world, one decision that holds profound implications for your project's success is the selection of an appropriate database. This choice is far from trivial. It directly impacts not only the performance of your application, delivering a smooth or laggy user experience, but also its scalability, determining whether your application can grow in stride with your user base or customer demand. Additionally, your database choice also influences the ease or complexity of managing your application, affecting how swiftly you can respond to issues and implement changes or improvements.
In the diverse landscape of database solutions, two names often rise to the forefront of discussions - Redis and MongoDB. These popular options each bring a distinctive set of features and advantages to the table, suiting them to different scenarios and requirements. As a result, they are frequently contrasted and compared, with developers seeking to discern which would be the ideal fit for their specific project needs.
Redis, standing for Remote Dictionary Server, is an open-source, in-memory data structure store. It can function as a database, cache, and message broker. The design of this key-value store results in lightning-fast read and write operations. This quality makes Redis a prime candidate for applications that necessitate real-time data processing.
On the other hand, MongoDB is a document-oriented database known for its flexibility and scalability. It is also open-source and employs JSON-like documents with optional schemas. These attributes make MongoDB a powerful tool for querying and indexing, further enriching its appeal.
Both Redis and MongoDB, with their unique strengths and characteristics, have carved niches for themselves in certain types of applications. However, the choice between them is not always clear-cut and can be influenced by a multitude of factors such as the nature of data to be stored, speed requirements, scalability needs, and more.
The goal of this comprehensive article is to illuminate the key facets of Redis vs MongoDB. By contrasting their features, strengths, and weaknesses, we aim to equip you with the necessary understanding to navigate this critical decision confidently. Through this guidance, we hope to steer you towards the right choice for your project, optimizing the performance, scalability, and manageability of your application.

What is Redis?

Redis, an acronym for Remote Dictionary Server, is an open-source, in-memory data structure store used as a database, cache, and message broker.
At the heart of our comparison lies Redis. An acronym that stands for Remote Dictionary Server, Redis is a potent and versatile solution in the data management space. It is an open-source tool, meaning that its source code is freely available, promoting transparency, community-driven enhancements, and adaptability to specific needs. The free availability of its source code aligns with the ethos of many developers, supporting the continued development and refinement of this high-performing software.
Redis operates as an in-memory data structure store, which significantly impacts its performance characteristics. The term 'in-memory' signifies that Redis stores data directly in the server's main memory (RAM), unlike other databases that store data on disk. This characteristic provides Redis with a substantial speed advantage, as accessing data in memory is considerably faster than retrieving it from a disk. As a result, applications using Redis can access and manipulate data with blazing speed, propelling their performance.
The versatility of Redis goes beyond just functioning as a database. It can also serve as a cache and message broker. As a cache, Redis temporarily stores frequently accessed data to reduce the time taken for data retrieval, resulting in faster response times. As a message broker, Redis supports the publishing of messages and subscribing to channels, facilitating efficient and real-time communication between different parts of an application.
Redis adopts a straightforward and effective key-value store design, allowing data to be stored as a pair where one element is a key, and the other is its corresponding value. This architecture is simple yet powerful, enabling high-speed read and write operations. Keys provide a method to identify data, and values hold the actual data itself. Due to this design, Redis excels in applications requiring real-time data processing where speed is of the essence.
Overall, the nature of Redis - its open-source status, its in-memory operation, its versatile roles, and its key-value store design - makes it an outstanding choice for certain types of applications. Especially in scenarios where real-time data processing is vital, Redis can offer a performance that truly sets it apart.
​

The Benefits of Redis: Speed, Flexibility, and More

Redis, as we've discovered, is much more than a simple data store. Its unique characteristics endow it with certain strengths that make it a robust tool in a developer's arsenal. The benefits of Redis are many, but two in particular stand out: its remarkable speed and its support for a range of diverse data structures.
Redis owes its blazing speed to its in-memory design. As data is stored and accessed directly from the main memory (RAM), data operations like read and write occur at a rapid pace. With Redis, you can achieve sub-millisecond latency, a speed that is often essential in today's dynamic and fast-paced applications. This speed advantage places Redis in a class of its own when it comes to applications that require real-time responses.
In practical terms, this means that Redis is an ideal solution for numerous demanding use-cases. For instance, as a cache, Redis can store frequently accessed data for speedy retrieval, effectively reducing application response times. It also shines in session management, where maintaining a fast, consistent experience for users across multiple sessions is crucial.
The application of Redis doesn't stop there. In real-time analytics, where data needs to be processed and insights need to be drawn instantly, Redis proves to be a valuable asset. Additionally, it is an excellent fit for message queuing systems, where its ability to quickly publish and retrieve messages ensures efficient and reliable communication between different application components.
Complementing its speed is another significant strength of Redis: its support for a wide array of data structures. Redis is not just a simple key-value store; it can handle data structures such as lists, sets, sorted sets, hashes, bitmaps, hyperloglogs, and geospatial indexes. Each of these data structures serves a unique purpose, and having the ability to choose the right one for the right task can be instrumental in building efficient applications.
This diversity in data structures offers a high degree of flexibility in handling different data types and use cases. For example, lists in Redis can be used to implement stacks, queues, or even a timeline of activities; sorted sets can be used to manage a leaderboard in a gaming application; and geospatial indexes can be used in location-based services like finding the nearest restaurant.
The pros of Redis lie in its exceptional speed and its support for various data structures. These advantages make Redis a compelling choice for a range of applications, from those requiring real-time data processing to those requiring diverse methods of data handling.

Cons of Redis

While Redis is indeed a powerful tool with a multitude of strengths, it is not without its limitations. Understanding these constraints is critical to making an informed decision about whether Redis is the right choice for your application's needs. The two primary limitations of Redis relate to its data persistence model and its relatively simple querying capabilities.
The first limitation revolves around Redis' data persistence model. As previously discussed, Redis is fundamentally an in-memory data store, meaning data is primarily stored in the server's main memory (RAM). While this design leads to fast data access and superior performance, it also means that data stored in Redis may not persist if the server is rebooted or encounters a failure.
​
Although Redis does offer mechanisms to mitigate this concern, such as snapshotting and append-only files (AOF) that allow data to be persisted to disk, these methods come with their own trade-offs in terms of performance and disk space. As a result, Redis may not be the best choice for scenarios where long-term, reliable data storage is paramount. Applications requiring a strong guarantee of data durability may need to consider alternative solutions or additional backup strategies.
The second limitation of Redis pertains to its querying capabilities. At its core, Redis operates as a key-value store, where data can be quickly accessed using a unique key. While this design works well for simple data access patterns and contributes to Redis' impressive speed, it may fall short in scenarios requiring more complex data manipulation.
​
Unlike databases that support SQL or similar querying languages, Redis lacks advanced querying capabilities. You cannot, for instance, easily perform operations like selecting all keys that meet a certain condition or joining data from multiple keys. As a result, Redis may be less suited to scenarios that demand intricate data analysis, complex searches, or advanced data manipulation.
In essence, while Redis is a high-performance in-memory data store that supports a range of data structures, it is not a one-size-fits-all solution. The limitations concerning data persistence and querying capabilities should be carefully considered alongside its strengths. The right decision always depends on your specific use case, requirements, and constraints. As with any technology decision, the goal is to choose the best tool for the task at hand.
​

What is MongoDB ?

MongoDB is an open-source, document-oriented database, meaning it stores data in a semi-structured format similar to JSON (JavaScript Object Notation), known as BSON (Binary JSON).
Like Redis, being open-source, MongoDB's source code is freely accessible, fostering a culture of innovation, transparency, and community-backed improvements.
One of MongoDB's most significant selling points is its use of JSON-like documents with optional schemas. This design choice marks a stark departure from traditional relational databases that employ structured tables and rows for data storage. In MongoDB, data is stored and organized in documents, which can contain multiple fields and data types, offering a great deal more flexibility. These fields can vary from document to document, and there's no obligation to have a predefined schema. This lack of rigidity allows developers to adapt the database structure as the application requirements evolve, making MongoDB an excellent choice for projects where the data schema might change over time.
​
Another standout characteristic of MongoDB is its high scalability. As businesses grow and applications generate more data, the ability of a database to scale becomes paramount. MongoDB shines in this regard, providing features like automatic sharding and replication to handle vast amounts of data and distribute it across multiple servers. Sharding allows MongoDB to distribute data across several machines, efficiently managing large data sets. Replication, on the other hand, ensures data availability and durability by maintaining multiple copies of data across different database servers.
Beyond flexibility and scalability, MongoDB also boasts powerful querying and indexing capabilities. Unlike Redis, which primarily operates as a key-value store, MongoDB provides a rich query language that allows developers to perform complex read and write operations. Whether it's filtering data based on specific criteria, joining data across collections, or performing aggregate functions, MongoDB's querying language has got you covered.
​
Furthermore, MongoDB supports a variety of indexes, making data retrieval even faster. Developers can create indexes on any field within a MongoDB document, including fields within arrays, improving performance and efficiency.
MongoDB, with its open-source nature, document-oriented structure, flexible schema, high scalability, and robust querying and indexing capabilities, stands out as a potent solution for a wide array of applications. It is particularly fitting for scenarios where data schemas are flexible, large volumes of data are expected, or where complex querying and indexing are required.

The Benefits of MongoDB: Flexibility, Scalability, and Reliability

MongoDB, a favored choice among many developers and businesses alike, is characterized by a multitude of strengths. These strengths revolve around MongoDB's flexibility, rich querying capabilities, scalability, and ACID-compliant transactions, all of which contribute to its suitability for handling complex data structures, big data applications, and business-critical operations.
First and foremost, the flexibility that MongoDB offers is significant. MongoDB does not impose a rigid schema on your data, a departure from traditional SQL databases. This schema-less nature means you can store documents of varying structures within the same collection, allowing you to handle data that is inconsistent or evolving. You can add, remove, or modify fields as you go, which is particularly useful in applications where the data structure might change over time.
This flexibility extends to MongoDB's powerful querying capabilities. MongoDB provides a rich query language that supports a wide range of operations, allowing developers to perform complex tasks that go far beyond simple data retrieval. Whether you're filtering documents based on specific criteria, joining data across multiple collections, or performing aggregation functions, MongoDB offers the capabilities you need. This makes it especially suitable for handling complex data structures and requirements.
Next, MongoDB's strength lies in its scalability. It is designed to accommodate big data applications and scale horizontally through a process called sharding. Sharding is the practice of distributing data across multiple servers or clusters, which can enhance performance, manage large data sets efficiently, and ensure that your application can grow without being constrained by your database's capacity.
If you're handling big data or expecting high growth rates, MongoDB's sharding capabilities can help maintain high performance and prevent the database from becoming a bottleneck. This makes MongoDB a preferred choice for big data applications where scalability is a key requirement.
Finally, MongoDB is ACID-compliant, supporting Atomicity, Consistency, Isolation, and Durability (ACID) transactions. This compliance ensures that all database transactions are processed reliably and that your data remains consistent even in the event of a system failure. ACID compliance is a crucial factor for many business-critical applications where data integrity and reliability cannot be compromised.
In essence, MongoDB's flexibility, rich querying capabilities, scalability, and ACID-compliant transactions make it a robust, versatile, and reliable choice for a variety of applications. Whether you're handling complex and varying data structures, managing big data, or dealing with business-critical operations that require reliable data processing, MongoDB has the strengths to meet these challenges.

Cons of MongoDB: Memory Consumption and Data Redundancy

Like all technologies, MongoDB is not without its drawbacks. It's essential to understand these limitations to make an informed decision about whether it's the right database solution for a particular use case. Two notable limitations associated with MongoDB are its sizable memory footprint and potential for data redundancy and inconsistency due to its document-oriented design.
Firstly, MongoDB has a reputation for being relatively memory-intensive. As a document-oriented database that maintains a variety of indexes to facilitate quick data retrieval, MongoDB requires a substantial amount of memory. This is particularly true when dealing with large datasets, as MongoDB keeps frequently accessed data and indexes in RAM to boost performance. In resource-constrained environments, this can pose a challenge. If your application is running on a device or server with limited RAM, MongoDB's large memory footprint could lead to suboptimal performance or even outages.
Moreover, while MongoDB is highly performant and can handle big data with ease, it may not perform as well as some alternatives, like Redis, for in-memory data handling. Redis is specifically designed for in-memory operations, offering exceptional speed and performance. So, if your application requires real-time data processing and instant data access, Redis may outperform MongoDB.
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Secondly, while MongoDB's flexible, document-oriented approach is one of its biggest strengths, it can also lead to challenges. The lack of a predefined schema means that the same data can be represented in multiple ways across different documents. This flexibility, while advantageous in many scenarios, can lead to data redundancy if not managed correctly.
For instance, if the same piece of data is stored in multiple documents, any changes to that data must be updated across all instances, increasing the complexity of data management. If these updates aren't performed correctly, it can lead to data inconsistency issues. These challenges can be mitigated with careful database design and data management practices, but they nonetheless represent a trade-off of MongoDB's flexible, schema-less design.
While MongoDB is a powerful, flexible, and scalable database solution, these strengths come with trade-offs. The database's memory footprint and potential for data redundancy and inconsistency are important factors to consider when deciding if MongoDB is the right choice for your project. As always, the optimal database choice depends on your specific use-case, the resources at your disposal, and the constraints you're working under.

Redis vs MongoDB: Making the Right Choice

Embarking on the journey to select the right database for your application can feel like navigating a complex maze. Two potent contenders that often cross paths are Redis and MongoDB. Both have distinct strengths, and the ultimate decision largely hinges on your unique use case and specific requirements.
Redis can be your ally when your application demands lightning-fast data operations. Its in-memory nature and simplified data model provide unparalleled speed, offering sub-millisecond latency. If your application requires a robust caching system or real-time analytics, Redis shines bright as a choice. For instance, if you're building a chat application, a gaming leaderboard, or an ad-serving system where speed is critical, Redis can help you deliver an excellent user experience.
Furthermore, Redis is also an excellent fit for storing session information and user profiles. Many applications need quick access to user data for authentication and personalization, and the blazing-fast read and write operations that Redis provides can make these tasks significantly more efficient. The data structures that Redis supports, such as lists, sets, and hashes, can accommodate these scenarios well, further underlining why Redis could be the right choice for such requirements.
MongoDB comes into the picture when your application requires the handling of complex querying, high scalability, and flexibility in dealing with diverse and evolving data structures. MongoDB's document-oriented design and rich query language make it a powerful tool for applications that need to process complex data and perform sophisticated queries. It's ideally suited for projects like content management systems, mobile applications, and real-time analytics that require flexibility and robustness.
MongoDB's ability to scale horizontally through sharding makes it a reliable ally for applications expecting high data growth. As your application expands and the data multiplies, MongoDB's sharding capabilities ensure that your database doesn't become a performance bottleneck.
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While comparing Redis vs MongoDB, it's crucial to remember that choosing a database isn't always a binary decision. The realm of application development is replete with examples of successful applications that employ a polyglot persistence architecture, effectively leveraging the strengths of multiple databases. For instance, you could choose MongoDB for storing business data that requires complex querying and flexibility, while simultaneously employing Redis for caching and session storage to capitalize on its speed. This approach allows you to bring together the best of both worlds, thereby enhancing the performance and efficiency of your application.
The journey to choose between Redis vs MongoDB should be guided by a thorough understanding of your application's requirements and the unique strengths of each database. By aligning these elements, you can make a well-informed decision that propels your application towards success.
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Conclusion

Arriving at the juncture of decision-making, the path you tread in choosing the right database is laden with significance. This decision can profoundly impact multiple facets of your application, including its performance, scalability, efficiency, and long-term viability. The choice between Redis and MongoDB is no exception and warrants a thorough understanding of your application's needs, paired with the unique strengths each database brings to the table.
When it comes to database selection, the key is to immerse yourself in understanding your application's unique needs and demands. Does your application need to handle real-time analytics, where speed is paramount? Or perhaps you're developing a content management system that requires complex querying and a flexible data structure? Each use case presents unique needs that can be met more effectively by one database over the other.
Understanding the strengths of Redis and MongoDB is equally important in this equation. Redis, with its in-memory design and blazing-fast read and write operations, shines in situations demanding high-speed data operations, caching, and real-time analytics. Simultaneously, MongoDB, with its flexibility, rich querying language, and high scalability, proves to be a robust choice for applications dealing with diverse, evolving data structures, and expecting high data growth.
Once you've identified your application's needs and understood how each database can address these requirements, you're well-equipped to make an informed choice. This process may be intricate, but it's crucial to remember that it's not a race, but a journey. The goal is not to rush to a decision, but to carefully consider all the factors involved.
Remember, technology choices, like selecting a database, are not static, and you may need to reassess your decision as your application evolves and grows. By staying adaptable, continuously learning, and keeping the focus on your application's needs, the task of choosing the right database becomes less daunting and more of an enriching journey.
In conclusion, whether you choose Redis, MongoDB, or a combination of both, the objective is to align the database's strengths with your application's needs. This informed and balanced approach will ensure your application's robust performance and scalability, positioning it for long-term success. This may seem like a complex puzzle, but with a clear understanding of your application's needs and the strengths of each database, you're well on your way to solving it.
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Am I alone here, or can others relate?
I’m a primary care doc. MSK is my preferred thing, but I see all comers.
I like to be prepared for the next patient, to have a rough idea what they might want to discuss. Our front desk staff are pretty good at gently probing. They have a pleasant manner and are easy to relate to.
We have trained them so that whenever a person requests an appointment with a doctor, they write one or two words which sum up what the person is concerned about. A sort of heads-up, allowing the doctor to organise their thoughts, and think about the ways the encounter might go.
Scanning my list this morning, it appears that the first patient wishes to discuss her big toe, the second patient wishes to discuss his knee, the third patient wishes to discuss her tennis elbow, and the fourth patient wishes to discuss his meat stick.
Toe, knee, elbow, and … wait! Meat stick? What sort of unsavoury, euphemistic term is that? I made a mental note to take care. A chaperone might be required.
And with that I proceeded.
Toes. People often come along because they have fungus discolouring and deforming the nails, or because a nail is ingrowing, or because their big toe is gradually coming to point inwards. In this case, the patient had the last of these, hallux valgus. We talked about the options and decided that she was not ready to have an operation. Some orthotics to accommodate the shape of the forefoot would probably help in the near term.
Knees. This patient was an older gentleman. Osteoarthritis is some way up the list of likely reasons for an older man to consult with knee symptoms. And that's what it seemed like. We agreed to update his xray and review his pain meds. He ought to lose weight, although we both know the best time to plant that tree was at least 20 years ago. He is heading for a knee replacement soon I expect.
Tennis elbow fascinates me. Why do some people get it, and not others? Mostly patients come hoping for a steroid injection. And mostly I spend the consultation trying to talk them out of it. My hunch is that there is usually a biomechanical fix, but it involves some detective work. Figuring out how to stop them doing the thing with their arm that’s keeping it going.
And that brought me to the fourth patient of the day, who wished to discuss his meat stick.
I braced myself.
“Come on in”, I volunteered, in what I hoped sounded like an easy, neutral and non-judgemental tone.
“How can I help you today?”
“Well doctor. Every time I swallow meat, it sticks.”

I’m a 20yo male
i grew up with siblings, mothefather my parents were split when i was born but i’d see my dad every weekend, we grew up in housing commission which is government housing for poor people. i grew up eating bake beans and toast for dinner, sleeping on the floor next to cockroaches and rats. my mother and farther were both drug addicts who would replace their habits instead of getting us food. i was 6yo when one weekend i went to my dads & he sexually assaulted me, i vividly remember the car ride home telling my mother while she burst into tears saying how sorry she was that she wasn’t doing her job right. my farther went to court but got away with everything since then i lost all contact and was removed from seeing him. a few years past and my mum was still addicted to drugs, one day she took to many pills and sadly passed in her sleep 1 night and i was 12yo and keep in mind i was a mummy’s boy and we still slept in the same bed. i went to bed that night not knowing she had passed and i awoke to see her pale cold blue face and stiff body. i immediately knew what was wrong and i felt distraught and sick and i tried shaking and waking her up but i couldn’t. the memory plays in my head all the time. i moved in with my mums mum after that since she took me in but sadly a year later she passed from cardiac arrest and i seen it happen, i was 13 just starting high school i then got taken under guardianship from my auntie but she also abused drugs and abused me when i’d do bad. i started high school and never went because i didn’t have too, 1 day i went and got suspended from school and i was so horrified and scared to go home because of the consequences of getting beaten i went to the local pay phone and dialled the police and told them what she was doing and how she was doing drugs and abusing me. i got removed from my auntie and got placed with my older sister, she was only 17 at the time. she put me into a different school and tried getting my grades back on track but i couldn’t keep up with school with so much mental illness going on. i was kept quiet and kept to myself and cried when no one was around i tried taking my life when i was 16 and failed. i took 22 xanax from my sister and she found me having a seizure in my room, she called the hospital in time to come save me and here i am after the failed attempt my sister kicked me out because she thought she wasn’t doing a good job by me because of what i did. i moved into a refuge house filled with other teens that have gone through similar situations but i found a job and a place to stay now but the moral of the story is that please seek advice even if it’s something little. you’ll crack one day you just don’t see it yet… it still hasn’t been the same since my mother passed, i don’t celebrate birthdays or anything it just doesn’t sit right with me and i promise you guys reading this men/women fake smile all the time but there’s always something wrong pls seek help.

I just need a little insight to see if this is common. My original intrusive thought was not something I actually wanted to be afraid of, but I did have a moment of anxiety thinking about it. But ever since I started obsessing about whether or not I really wanted to fear said new obsession my brain keeps sending out thoughts that almost feel like it's trying to make me feel "my true fear" or gaslighting me and saying things like "You know that's not how you really feel, you're lying to yourself, you really don't feel against this fear. If you didn't fear, it even a little bit you wouldn't have had anxiety about it." etc. The kicker about those gaslighting thoughts are whenever I try and shut down the thoughts or I try and seek reassurance even though I know I'm not supposed to it feels like I'm trying to defend the thoughts I don't want to have, or it feels like the way I think I want to feel is not the way that I truly feel about the thoughts and that I want to accept the thoughts cause it feels better than trying to fight for them cause the thoughts I want to have feel far away. I feel very confused cause sometimes I feel like I know what I want but most of the time I feel like I want the thing I don't want. Anyone else?

Currently typing at 8am, woke up almost two hours ago. I literally can't move from the bed, I've just thinking about really bad things.
I usually distract myself with studying, food or entertainment but this is one of the times everything comes back all at once. How I am lonely, how I am never doing enough, how people just don't want to interact with me no matter how hard I try, etc.
How do you deal with this? I'm sure I'm not the only one who has felt these things. I don't want to lose an entire day but I don't see the point of even getting up from the bed.