Which season is good for mining
Mineral resources are very important to players in Xinglu Valley story game. Mineral resources can be obtained through mining exploration. Players try through a variety of tools, today we will talk about how to correctly mine
about how to use it, you've tried it when you get the catapult. Pull the mouse in the opposite direction to launch explosives
Star dew Valley mining skills strategy, want to know more star dew Valley mining skills strategy information, the so-called work to be good at its things must first sharpen its tools, let's take a look at the star dew Valley mining skills strategy related strategies, Xiaobian teach you how to play this game ~
< P > 1 The mining area is a very profitable area, and mining is also one of the main ways for players to make money. For the players who have just come into contact with this game, they find that the mining area is blocked by a huge stone, so how to open the mining areaOn the opening of mining area As I said before, many Mengxin must find that their mining area is not passable at all. Like this, they are blocked by a huge stone. Behind them, a simple and honest uncle with a trace of obscenity knocks on the big stone. Please pay attention, Mengxin!! Don't hit the stone with your hoe! Anyway, you can't do anything. I believe you're not that stupid
Here, I tell you! No skill! You go to see it on the first day, the second day, the third day and the fourth day. Don't you watch it on the fifth day
On the fifth day, no matter when I get up in the morning, the first thing I do is to go to the mining area. I tell you, the road is open! You can safely run to the mine
Friendly tips: if you want to go to the mine for the first time, put all your things in the box except pickaxe at home. Your gold coin is certainly not enough to upgrade your backpack for the first time. After going to the mine, there are more things. Of course, there is no need to bring food to supplement energy for the first time. After all, it's just a trial)
after going to the mine for the first time Plot of mining area OK, light load, let's enter the mining area
The first time you enter the mining area, the plot will be triggered. The president of our great adventurers association is waiting for you in the mine. He talks a lot of nonsense. When he gets to the point, he tells you mysteriously. He finds that there are many good things under the mining area. Isn't that bullshit! What am I doing without good stuff
Well, well, after explaining a lot of strange nonsense, the old man gave us a magic weapon, which is said to be able to kill demons and Demons and defend the right way& mdash; A broken sword
After we resisted the impulse to make rude remarks, we had to accept it. Then the old man left. If I were in the game, I would chop him with this sword to vent my anger
There's no need to argue with NPC. The story ends with the old man leaving the mine
The first mining The mining area has opened, people have left, and things have been obtained. Let's start our first mining experience happily! First of all, we should pay attention to the fact that the elevator can't be used at this time, not to mention the tramcar next to it. We will explain it later. Now we can only go down the mine from the stairs
The first floor is full of stones. We need to knock on the stones one by one to collect resources and find the stairs of the next mining area. Of course, occasionally there are some rare materials in the mining area, such as copper, and some other materials can be used to give gifts and sell money in the future The point is to sell money! As I said, you can make a fortune by mining It will play an important role in the future development, and we will talk about it later
Generally, monsters will appear in the second layer. If you defeat monsters, you will drop some materials that can be used in the future. If you collect materials, don't sell them as soon as you are crazy. Remember
Soon, after our layer by layer search, we found the stairs leading to the fifth floor underground. At this time, with a pleasant sound of elevator, our elevator system in the mining area was activated
In the future, the elevator will be opened every five floors to reach the lower limit of the floor. Of course, you can only take the elevator to the floor that leads to the multiple of five, 0, 5, 10, 15, 20... The total number of floors in this mining area is 120, and there will be a reward every 10 floors
therefore, the most important thing is to drill down quickly. Don't delay time by bypassing the stairs for one or two veins in the distance. At the extreme, we can even ignore all kinds of monsters and mines and concentrate on going down
on the first day, even 20 floors down, on the second day, 15-20 floors, how can we reach 40 in three days. 40-80 is a little bit bitter, 10 layers a day, occasionally only 5 layers a day, a total of 8-10 days to reach 80. If you don't have such efficiency, please use your brain to improve your efficiency
brush iron gold also give you a reference: with the talent of vein + 1 ore, I finished the farm work in the morning and went to the 41st floor of the cave to dig iron. I kept 100 iron in half a day, and I could dig 200 iron in a better face. If you come early in the morning, 200 starts, 400 is hopeful. The efficiency of gold is a little lower. If you brush 81 layers repeatedly, you will get 50 in half a day. There is also a copper, which can be brushed casually on the 21st floor, with the appearance of 100-200. The efficiency output is similar to that of iron brush
on the way to Chong 80, the sacrifice of the harvester can be done, and the income is very high. After finishing 80, the second goal is to get 120, 90 black swords and 100 permanent physical strength fruits. When you brush gold, you can hit down by the way
in addition, there are 15 layers. There is a piece of sand in the 15 layers. With a hoe, it can hoe clay. The wine making stream needs to be brushed here. The probability of the ancient seeds coming out of the monsters on the 15th floor is also very high. Both of my files are working on this floor for a day. When I go home, I find that there are ancient seeds
mushroom layer is a special mushroom layer, and there is no ore vein. You can pick up mushrooms repeatedly in this layer on the same day, and you can earn tens of thousands a day. Don't miss it when you meet it
strange layer, Qingguang strange stairs, later brush 1000 shrem meet strange layer is also very good.
so it's the most important to drill down quickly. Don't delay time by bypassing the stairs for one or two veins in the distance. At the extreme, we can even ignore all kinds of monsters and mines and concentrate on going down
let's give a reference: on the first day, even the next 20 floors, on the second day, 15-20 floors, how can we reach 40 in three days. 40-80 is a little bit bitter, 10 layers a day, occasionally only 5 layers a day, a total of 8-10 days to reach 80. If you don't have such efficiency, please use your brain to improve your efficiency
brush iron gold also give you a reference: under the talent of vein + 1 ore, I finished the farm work in the morning and went to the 41st floor of the cave to dig iron. I kept 100 iron in half a day, and I could dig 200 iron if I had a better face. If you come early in the morning, 200 starts, 400 is hopeful. The efficiency of gold is a little lower. If you brush 81 layers repeatedly, you will get 50 in half a day. There is also a copper, which can be brushed casually on the 21st floor, with the appearance of 100-200. The efficiency output is similar to that of iron brush
on the way to 80, the sacrifice of the tramcar can be done, and the income is very high. After finishing 80, the second goal is to get 120, 90 black swords and 100 permanent physical strength fruits. When you brush gold, you can hit down by the way
in addition, there are 15 layers. There is a piece of sand in the 15 layers. The hoe can hoe the clay. The wine stream needs to be brushed here. The probability of the ancient seeds coming out of the monsters on the 15th floor is also very high. Both of my files are working on this floor for a day. When I go home, I find that there are ancient seeds
the mushroom layer is specialized in procing mushrooms without ore veins. You can repeatedly pick up mushrooms in this layer on the same day and earn tens of thousands a day. Don't miss it if you meet them
strange layer, Qingguang strange out of the stairs, later brush 1000 shrem meet strange layer is also very good
geo de and omni
geo de has a chance to proce iridium, which is much faster to brush iridium.
the history of big data technology: the past and present life of big data
you know, search engines mainly do two things, one is web crawling, the other is index building, and in this process, there is a lot of data to be stored and calculated. The "troika" is actually used to solve this problem. You can see from the introction that there is a file system, a computing framework and a database system
now when you hear such words as distributed and big data, it must be no stranger. But you know, at that time in 2004, the whole Internet was still in an age of ignorance, and the papers published by Google really inspired the instry. It suddenly dawned on everyone that they could still play like this
because ring that period, most companies focused on the single machine, thinking about how to improve the performance of the single machine and looking for more expensive and better servers. Google's idea is to deploy a large-scale server cluster, store massive data in the cluster in a distributed way, and then use all the machines in the cluster for data calculation. In this way, Google doesn't need to buy a lot of expensive servers. As long as it organizes these ordinary machines together, it's very powerful
Doug Cutting, a gifted programmer at that time and the founder of Lucene open source project, was developing the open source search engine nutch. After reading Google's paper, he was very excited, and then according to the principle of the paper, he initially realized functions similar to GFS and maprec
two years later, in 2006, Doug Cutting separated these big data related functions from nutch, and then launched an independent project to develop and maintain big data technology, which was later known as Hadoop, mainly including Hadoop distributed file system HDFS and big data computing engine maprec
when we review the history of software development, including the software developed by ourselves, you will find that some software is not used by many people or few people after it is developed. In fact, such software accounts for the majority of all the software developed. Some software may create an instry, creating tens of billions of dollars of value and millions of jobs every year. These software used to be windows, Linux and Java, but now the name of Hadoop is added to the list
if you have time, you can simply browse the Hadoop code. In fact, this software written in Java has no profound technical difficulties. It uses some of the most basic programming skills, and there is nothing unusual about it. However, it has brought great influence to the society, and even led to a profound scientific and technological revolution, It promotes the development and progress of artificial intelligence
in my opinion, when we do software development, we can also think more about the value of the software we develop? Where is the real need to use software to achieve value? You should pay attention to the business, understand the business, have value orientation, and use your own technology to create real value for the company, so as to realize your life value. Instead of burying all day in the requirements specification document, make a code robot without thinking
after the release of Hadoop, Yahoo was used quickly. About a year later, in 2007, the network and Alibaba began to use Hadoop for big data storage and computing
In 2008, Hadoop officially became the top project of Apache, and later Doug Cutting himself became the chairman of Apache foundation. Since then, Hadoop has emerged as a star in the field of software developmentin the same year, cloudera, a commercial company specializing in Hadoop, was founded, and Hadoop received further commercial support
at this time, some people in Yahoo thought it was too troublesome to program big data with maprec, so they developed pig. Pig is a script language, which uses SQL like syntax. Developers can use pig script to describe the operations to be performed on large data sets. After compiling, pig will generate maprec program, and then run it on Hadoop
although it is easier to write pig script than direct maprec programming, we still need to learn new script syntax. So Facebook released hive. Hive supports the use of SQL syntax for big data calculation. For example, you can write a select statement for data query, and hive will convert the SQL statement into a maprec calculation program
In this way, data analysts and engineers who are familiar with the database can use big data for data analysis and processing without threshold. Since hive appeared, it has greatly reced the difficulty of using Hadoop, and has been quickly sought after by developers and enterprises. It is said that in 2011, 90% of the jobs running on Facebook's big data platform came from hivethen, many Hadoop peripheral procts began to appear, and the big data ecosystem graally formed, including: sqoop, which specially imports and exports data from relational database to Hadoop platform; Flume for distributed collection, aggregation and transmission of large-scale logs; Maprec workflow scheling engine oozie, etc
in the early days of Hadoop, maprec was not only an execution engine, but also a resource scheling framework, and the resource scheling management of server cluster was completed by maprec itself. But this is not concive to resource reuse, and also makes maprec very bloated. So a new project was launched to separate maprec execution engine from resource scheling. This is yarn. In 2012, yarn became an independent project and started operation. Later, it was supported by various big data procts and became the most mainstream resource scheling system on the big data platform
also in 2012, spark developed by UC Berkeley amp Laboratory (abbreviation for algorithms, machine and people) began to emerge. At that time, Dr. Ma tie of AMP laboratory found that the performance of machine learning computation using maprec was very poor, because the machine learning algorithm usually required many times of iterative computation, and maprec needed to restart a job every time it performed map and rec computation, which brought a lot of unnecessary consumption. Another point is that maprec mainly uses disk as storage medium. In 2012, memory has broken through capacity and cost constraints and become the main storage medium in the process of data operation. As soon as spark was launched, it was immediately sought after by the instry, and graally replaced the position of maprec in enterprise applications
generally speaking, business scenarios processed by computing frameworks such as maprece and spark are called batch computing, because they usually calculate the data generated in "days" once, and then get the required results. The intermediate computing time is usually tens of minutes or even longer. Because the calculated data is not online real-time data, but historical data, so this kind of calculation is also called big data offline calculation
in the field of big data, there is another kind of application scenario, which requires real-time calculation of a large amount of data generated in real time, such as face recognition and suspect tracking for surveillance cameras all over the city. This kind of computing is called big data flow computing. Accordingly, there are storm, Flink, spark streaming and other flow computing frameworks to meet the scenarios of such big data applications. The data to be processed by streaming computing is real-time online data, so this kind of computing is also called big data real-time computing
in the typical big data business scenario, the most common way of data business is to use batch processing technology to process historical full data, and stream computing to process real-time new data. Computing engines like Flink can support both streaming and batch computing
in addition to big data batch processing and stream processing, NoSQL system mainly deals with the storage and access of large-scale massive data, so it is also classified as big data technology. NoSQL was very popular around 2011, and many excellent procts such as HBase and Cassandra emerged. HBase is a HDFS based NoSQL system separated from Hadoop
when we review the history of software development, we will find that almost similar functions of software appeared very close. For example, Linux and windows appeared in the early 1990s, all kinds of MVC frameworks in java development basically appeared at the same time, and Android and IOS came out from behind. Before and after 2011, all kinds of NoSQL databases were different. I also participated in the development of Alibaba's own NoSQL system at that time
the development of things has its own trend and rules. When you are in the trend, you should seize the opportunity of the trend and try to stand out. Even if you don't succeed, you will have a better insight into the pulse of the times and gain valuable knowledge and experience. If the trend has receded, we can only gain confusion and depression if we work hard in this direction at this time, which is not helpful to the times and ourselves
but the tide of the times is like the spray on the beach, wave after wave. As long as you stand on the beach and live in this instry, the next wave will come soon. You need to be sensitive and deep to observe, ignore those impetuous bubbles, seize the opportunities of the real trend, and strive for success, no matter whether they succeed or fail. p> It is the so-called advance in the logic of historical progress and in the trend of the development of the times. Generally speaking, it means to fly in the air
all of the above can be classified as big data engine or big data framework. The main application scenarios of big data processing include data analysis, data mining and machine learning. Data analysis is mainly completed by hive, spark SQL and other SQL engines; Data mining and machine learning have special machine learning frameworks such as tensorflow, mahout and mllib, which have built-in main machine learning and data mining algorithms
in addition, big data should be stored in the distributed file system (HDFS), maprec and spark jobs should be scheled orderly, and the execution results should be written into the databases of various application systems. A big data platform is also needed to integrate all these big data components and enterprise application systems
All these frameworks, platforms and related algorithms in the
figure together constitute the technical system of big data. I will analyze them one by one in the back of the column to help you build a complete knowledge system for the technical principles and application algorithms of big data. You can be engaged in big data development, and you can better integrate with big data in your own application development, Take control of your own projects
hope to help you~
Star dew Valley story, want to know more about star dew Valley story strategy and related information? The following small series to give you a detailed answer, want to understand the players come strong onlookers
How to make money in winter? What are the skills? The story of Xinglu Valley in winter is a very troublesome thing. I think everyone has a deep experience. In fact, in winter, in addition to fishing, mining, raising chickens and cows and so on. There is also a way to make money. Xiaomian will go with tieguwang Xiaobian to see what it is
The first thing to do is to prepare a hoe and two pieces of cheese. Of course, cheese can be replaced by other high-energy restorations
Then we can ride along the ranch to the hot spring, because what we have to do is dig the ground, so we should clean up the wood and stone on the ground first
Winter ground is very easy to dig winterroot and snowyam, although a single is not very valuable, but easy to dig. Our goal is them
What we need to do is to dig horizontally first, and it's better to start from the bottom row. When you dig clay, winter root or snowyam, the key is here!! At this time, you need to change the direction to dig up, and you will find that this column is full of clay, winterroot or snowyam It's the same as the first one you dig.) here's a very important point, that is, after you dig something, you can only dig upward, and the upward process can't be broken
My suggestion is to go to the hot spring in the morning, then go to Robin's house, and finally go to the beach. There's no time and profit after using two cheeses. It's better to bring supplies. At first I went to the hot spring, but later I found that it was a waste of time After all, we are millions of successful people every minute.) the last thing is the harvest of this day
Those who lack clay can also be g in this way. At the beginning, I would still dig clay. Later, when I piled a pile in the warehouse, I lost interest. Winterroot and snowyam are still valuable
Digging is a good way to earn extra money in the winter of Xinglu valley. I hope the above skills can be harvested in the cold winter