Recently, the discussion in the digital asset field has remained hot. Dogecoin DOGE, as one of the most popular focus, has become a question that many people have explored. Where does it "settling down"? What is the relationship with the current leading trading platform, Binance? To answer these questions, we need to conduct in-depth analysis from the two dimensions of the underlying technical logic of digital assets and the platform ecology, rather than just staying in appearance.

In the world of digital currency trading, understanding and proficiency in using different order types is the key to successful transactions. It's as basic as driving a vehicle requires mastering the accelerator and brakes. Market orders and restricted orders are the two most basic and powerful tools that all traders must master. Whether you operate on mainstream trading platforms such as Binance Binance, Ouyi OKX, Huobi, or Gate.io Sesame Open Door, they all form the core of your trading strategy.

The rise of meme coins reflects the key role of community power and social media influence in the cryptocurrency market. 1. Dogecoin was originally a satirical joke and was born in 2013; 2. Driven by tweets from celebrities such as Elon Musk, the attention soared; 3. The market value once reached tens of billions of dollars, becoming a mainstream digital asset. Shiba Inu Coin is positioned as a "dogcoin killer" and has rapidly risen through community-driven strategies, building a decentralized exchange ShibaSwap, and relies on low-priced units to attract a large number of users to participate. Its success also depends on circulation guarantees on mainstream platforms such as Binance, Coinbase, and OKX. The core driving forces of meme coins include: 1. Viral transmission mechanism, rapid spread of information; 2. Enhanced sense of community belonging

The core difference between USDC, DAI and TUSD lies in the issuance mechanism, collateral assets and risk characteristics. 1. USDC is a centralized stablecoin issued by Circle and is collateralized by cash and short-term treasury bonds. Its advantages are compliance and transparent, strong liquidity, and high stability, but there is a risk of centralized review and single point failure; 2. DAI is a decentralized stablecoin, generated through the MakerDAO protocol, and the collateral is a crypto asset. It has the advantages of anti-censorship, transparency on chain, and permission-free, but it also faces systemic risks, dependence on centralized assets and complexity issues; 3. TUSD is a centralized stablecoin, emphasizing real-time on-chain reserve proof, providing higher frequency transparency verification, but has a small market share and weak liquidity. The three are collateral types and decentralization

CTEs are a feature introduced by MySQL8.0 to improve the readability and maintenance of complex queries. 1. CTE is a temporary result set, which is only valid in the current query, has a clear structure, and supports duplicate references; 2. Compared with subqueries, CTE is more readable, reusable and supports recursion; 3. Recursive CTE can process hierarchical data, such as organizational structure, which needs to include initial query and recursion parts; 4. Use suggestions include avoiding abuse, naming specifications, paying attention to performance and debugging methods.

MySQL query performance optimization needs to start from the core points, including rational use of indexes, optimization of SQL statements, table structure design and partitioning strategies, and utilization of cache and monitoring tools. 1. Use indexes reasonably: Create indexes on commonly used query fields, avoid full table scanning, pay attention to the combined index order, do not add indexes in low selective fields, and avoid redundant indexes. 2. Optimize SQL queries: Avoid SELECT*, do not use functions in WHERE, reduce subquery nesting, and optimize paging query methods. 3. Table structure design and partitioning: select paradigm or anti-paradigm according to read and write scenarios, select appropriate field types, clean data regularly, and consider horizontal tables to divide tables or partition by time. 4. Utilize cache and monitoring: Use Redis cache to reduce database pressure and enable slow query

MySQL's EXPLAIN is a tool used to analyze query execution plans. You can view the execution process by adding EXPLAIN before the SELECT query. 1. The main fields include id, select_type, table, type, key, Extra, etc.; 2. Efficient query needs to pay attention to type (such as const, eq_ref is the best), key (whether to use the appropriate index) and Extra (avoid Usingfilesort and Usingtemporary); 3. Common optimization suggestions: avoid using functions or blurring the leading wildcards for fields, ensure the consistent field types, reasonably set the connection field index, optimize sorting and grouping operations to improve performance and reduce capital

The aggregation function is used to perform calculations on a set of values ??and return a single value. Common ones include COUNT, SUM, AVG, MAX, and MIN; GROUPBY groups data by one or more columns and applies an aggregation function to each group. For example, GROUPBYuser_id is required to count the total order amount of each user; SELECTuser_id, SUM(amount)FROMordersGROUPBYuser_id; non-aggregated fields must appear in GROUPBY; multiple fields can be used for multi-condition grouping; HAVING is used instead of WHERE after grouping; application scenarios such as counting the number of classified products, maximum ordering users, monthly sales trends, etc. Mastering these can effectively solve the number