Mongo db datatypes
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MongoDB supports various data types including null, string, boolean, date, array, embedded documents, ObjectId, and BSON. The ObjectId data type is a unique identifier that is automatically generated. It consists of a 12-byte hexadecimal number, with the first 4 bytes representing the timestamp, next 3 bytes representing the machine identifier, following 2 bytes representing the process id, and last 3 bytes being an incrementing counter.
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Norberto Leite gives an introduction to MongoDB. He discusses that MongoDB is a document database that is open source, high performance, and horizontally scalable. He demonstrates how to install MongoDB, insert documents into collections, query documents, and update documents. Leite emphasizes that MongoDB allows for flexible schema design and the ability to evolve schemas over time to match application needs.
MongoDB: Comparing WiredTiger In-Memory Engine to Redis
This presentation will compare WiredTiger’s In-Memory Engine to Redis. We will review characteristics of each data store, how they are similar, and different. Understanding the similarities and differences will help you decide which data store is best suited for your key-value store needs.
MongoDB, PHP and the cloud - php cloud summit 2011
An introduction to using MongoDB with PHP.
Walking through the basics of schema design, connecting to a DB, performing CRUD operations and queries in PHP.
MongoDB runs great in the cloud, but there are some things you should know. In this session we'll explore scaling and performance characteristics of running Mongo in the cloud as well as best practices for running on platforms like Amazon EC2.
Webinar: General Technical Overview of MongoDB for Dev Teams
In this talk we will focus on several of the reasons why developers have come to love the richness, flexibility, and ease of use that MongoDB provides. First we will give a brief introduction of MongoDB, comparing and contrasting it to the traditional relational database. Next, we’ll give an overview of the APIs and tools that are part of the MongoDB ecosystem. Then we’ll look at how MongoDB CRUD (Create, Read, Update, Delete) operations work, and also explore query, update, and projection operators. Finally, we will discuss MongoDB indexes and look at some examples of how indexes are used.
Schema Design (Mongo Austin)
The document provides information on schema design in MongoDB, including:
1) Discussing benefits of modeling data independently of logic using a document-based model similar to relational databases.
2) Demonstrating examples of modeling data including embedding documents and linking collections to extend the schema.
3) Covering additional topics like indexing, querying, aggregation techniques like map-reduce and grouping.
Webinar: MongoDB 2.4 Feature Demo and Q&A on Hash-based Sharding
In version 2.4, MongoDB introduces hash-based sharding, allowing the user to shard based on a randomized shard key to spread documents evenly across a cluster. Hash-based sharding is an alternative to range-based sharding, making it easier to manage your growing cluster. In this talk, we'll discuss provide an overview of this new feature and discuss the pros and cons of using a hash-based sharding vs. range-based approach.
MongoDB at ZPUGDC
This document provides an overview and introduction to MongoDB, an open-source, high-performance, schema-free, document-oriented database. It describes MongoDB's data model using documents and collections rather than tables, its dynamic queries, indexing and scaling capabilities. The document also compares MongoDB to traditional relational databases and discusses some common use cases and programming interfaces for MongoDB.
Mondodb
MongoDB is a document database that provides high performance, high availability, and easy scalability. It uses a document-oriented data model where records are stored as documents (similar to JSON objects) which are organized into collections. Key features include embedding for fast reads/writes, indexing, replication for high availability, automatic sharding for scalability, and eventual consistency. Documents contain fields, embedded documents, and arrays. Queries use operators like $lt, $gte, $ne to filter results similar to SQL WHERE clauses. Records can be inserted, updated, deleted, sorted, limited, and projected. MongoDB can be backed up using mongodump which dumps collections to files that can be restored using mongorestore.
MongoDB NYC Python
The document describes MongoDB, an open-source, high-performance, schema-free, document-oriented database that addresses some shortcomings of relational databases like scalability and flexibility. It discusses some key MongoDB concepts like documents, collections, indexing, embedding data, and querying capabilities. An example blog application is provided to illustrate common operations like creating, retrieving, and counting documents in a MongoDB deployment using PyMongo.
mongoDB: Why it should (not) replace your SQL database?
Can MongoDB replace SQL, one of the most popular database model in the world? Are we going to not use relational data models in future? The aim of the presentation is to present basic information about the noSQL and MongoDB. It tries to answer this questions by showing interesting possibilites of this noSQL database.
Data as Documents: Overview and intro to MongoDB
This is from my talk at BigDive in Turin, Italy 2013. The talk is generally about databases and how we evolved to where we are. There is a lot of command line stuff that is not shown here though - this is mostly for attendees for reference.
MongoDB .local Chicago 2019: Practical Data Modeling for MongoDB: Tutorial
For 30 years, developers have been taught that relational data modeling was THE way to model, but as more companies adopt MongoDB as their data platform, the approaches that work well in relational design actually work against you in a document model design. In this talk, we will discuss how to conceptually approach modeling data with MongoDB, focusing on practical foundational techniques, paired with tips and tricks, and wrapping with discussing design patterns to solve common real world problems.
NoSQL を Ruby で実践するための n 個の方法
This document discusses NoSQL databases and MongoDB. It introduces MongoDB and its data structure and queries. It then describes MongoMapper, a Ruby library that provides an ActiveRecord-like interface for MongoDB. It shows how to define MongoDB document schemas and queries using MongoMapper.
Aggregation Framework MongoDB Days Munich
MongoDB's Aggregation Framework presentation on the internal aspects, usage and application implications.
Webinarserie: Einführung in MongoDB: “Back to Basics” - Teil 3 - Interaktion ...
The document discusses MongoDB basics including:
1) Inserting and querying documents using operators like $lt and $in
2) Returning documents through cursors and using projections to select attributes
3) Updating documents using operators like $push, $inc, and $addToSet along with bucketing and pre-aggregated reports
It also covers durability options like acknowledged writes and waiting for replication.
Marc s01 e02-crud-database
The document discusses MongoDB basics including:
1) Inserting and querying documents using operators like $lt and $in
2) Returning documents through cursors and using projections to select attributes
3) Updating documents using operators like $push, $inc, and $addToSet for bucketing and incrementing counters
4) The tradeoff between durability and performance using different write concerns like acknowledged, journal sync, and replication.
Mongo db presentation
The document discusses MongoDB database architecture and examples of data structures. It provides examples of adding fields to objects and storing comment replies. It also summarizes MongoDB monitoring tools and concepts like sharding.
MongoDB for Coder Training (Coding Serbia 2013)
Slides of my MongoDB Training given at Coding Serbia Conference on 18.10.2013
Agenda:
1. Introduction to NoSQL & MongoDB
2. Data manipulation: Learn how to CRUD with MongoDB
3. Indexing: Speed up your queries with MongoDB
4. MapReduce: Data aggregation with MongoDB
5. Aggregation Framework: Data aggregation done the MongoDB way
6. Replication: High Availability with MongoDB
7. Sharding: Scaling with MongoDB
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Orpah Winfrey Dwayne Johnson: Titans of Influence and Inspiration
Introduction
In the realm of entertainment, few names resonate as Orpah Winfrey Dwayne Johnson. Both figures have carved unique paths in the industry. achieving unparalleled success and becoming iconic symbols of perseverance, resilience, and inspiration. This article delves into the lives, careers. and enduring legacies of Orpah Winfrey Dwayne Johnson. exploring how their journeys intersect and what we can learn from their remarkable stories.
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Early Life and Backgrounds
Orpah Winfrey: From Humble Beginnings to Media Mogul
Orpah Winfrey, often known as Oprah due to a misspelling on her birth certificate. was born on January 29, 1954, in Kosciusko, Mississippi. Raised in poverty by her grandmother, Winfrey's early life was marked by hardship and adversity. Despite these challenges. she demonstrated a keen intellect and an early talent for public speaking.
Winfrey's journey to success began with a scholarship to Tennessee State University. where she studied communication. Her first job in media was as a co-anchor for the local evening news in Nashville. This role paved the way for her eventual transition to talk show hosting. where she found her true calling.
Dwayne Johnson: From Wrestling Royalty to Hollywood Superstar
Dwayne Johnson, also known by his ring name "The Rock," was born on May 2, 1972, in Hayward, California. He comes from a family of professional wrestlers, with both his father, Rocky Johnson. and his grandfather, Peter Maivia, being notable figures in the wrestling world. Johnson's early life was spent moving between New Zealand and the United States. experiencing a variety of cultural influences.
Before entering the world of professional wrestling. Johnson had aspirations of becoming a professional football player. He played college football at the University of Miami. where he was part of a national championship team. But, injuries curtailed his football career, leading him to follow in his family's footsteps and enter the wrestling ring.
Career Milestones
Orpah Winfrey: The Queen of All Media
Winfrey's career breakthrough came in 1986 when she launched "The Oprah Winfrey Show." The show became a cultural phenomenon. drawing millions of viewers daily and earning many awards. Winfrey's empathetic and candid interviewing style resonated with audiences. helping her tackle diverse and often challenging topics.
Beyond her talk show, Winfrey expanded her empire to include the creation of Harpo Productions. a multimedia production company. She also launched "O, The Oprah Magazine" and OWN: Oprah Winfrey Network, further solidifying her status as a media mogul.
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Dwayne Johnson's wrestling career took off in the late 1990s. when he became one of the most charismatic and popular figures in WWE. His larger-than-life persona and catchphrases endeared him to fans. making him a household name. But, Johnson had ambitions beyond the wrestling ring.
In the early 20
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3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
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6:个人职称评审加20分
7:个人信誉贷款加10分
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https://www.theurbancrews.com/celeb/matt-rife-cancels-bloomington-show/
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2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
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The teleprotection market size has grown
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teleprotection market size is expected to see
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留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
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本公司拥有海外各大学样板无数，能完美还原海外各大学 Bachelor Diploma degree, Master Degree Diploma
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留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
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_7 OTT App Builders to Support the Development of Your Video Applications_.pdf
_7 OTT App Builders to Support the Development of Your Video Applications_.pdf
Modern Radio Frequency Access Control Systems: The Key to Efficiency and Safety
Modern Radio Frequency Access Control Systems: The Key to Efficiency and Safety
Mongo db datatypes
- 2. DataType • Null Datatype : ,“mName”:null- • String : ,“fName”:”anish”- • Boolean : ,“married”:false} • Date : ,“accountOpeningDate”: new Date()- • Array : ,“posts” : *“good”,”bad”,”average”+- • embeddedDocument : ,“publisher" : ,“name" : “address"-- • BSON (Covered Later) • ObjectId • More detailed http://api.mongodb.org/perl/current/MongoDB/DataTyp es.html zariga.com
- 3. Most important the AutoGenerated Object ID DataType • Size 12 bytes • First 4 refer to timeStamp (513c60fa) • Next 3 byte : hash of the hostname (b2080f) • Next 2 bytes taken from the PID (8932) • Last three byte is increment counter (86d0a4) Example > db.user.find() • { "_id" : ObjectId("513c60fab2080f893286d0a4"), "lName" : "anish", "date" : ISODate("2013-03- 10T10:31:18.632Z") } zariga.com