1. Concept
is the way computers store and organize data, which refers to a collection of one or more specific relationships between data elements.
2. Function
(1) Insert a new data item
(2) Find a specific data item
(3) Delete a specific data item
(3) Iteratively access each data item for display or other operations
3. Common data structures
(1) Linear table
The most commonly used and simplest data structure, it is a finite sequence of n data elements,
Implement linear table: Output and store linear table elements, that is, use a set of continuous storage units to store linear table data elements in sequence. The other is to use a linked list to store linear table elements, and use a set of arbitrary storage units to store linear table data. Elements (storage units can be continuous or discontinuous).
(2) Stack
First in, last out
(3) Queue
Add elements in a section . Remove the element from the other end. In and out of the queue. Usage scenarios: Because of the first-in-first-out nature of the queue, it is very suitable for multi-thread blocking queue management.
(4) Linked list
A non-continuous and non-sequential storage structure on the physical storage unit. The logical sequence of data elements is realized through the pointer address of the linked list. Each The element contains two nodes, one is the data field (storage space) that stores the element, and the other is the pointer field pointing to the next node.
(5) Tree
A data structure, a collection of hierarchical relationships composed of n (n>=1) limited nodes.
What are the basic data types of java
The basic data types of Java are divided into:
1. Integer type, used to represent the data type of integer.
2. Floating point type, a data type used to represent decimals.
3. Character type. The keyword of character type is "char".
4. Boolean type is the basic data type that represents logical values.
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Different JVM implementations can provide platform independence, but their performance is slightly different. 1. OracleHotSpot and OpenJDKJVM perform similarly in platform independence, but OpenJDK may require additional configuration. 2. IBMJ9JVM performs optimization on specific operating systems. 3. GraalVM supports multiple languages and requires additional configuration. 4. AzulZingJVM requires specific platform adjustments.

Platform independence reduces development costs and shortens development time by running the same set of code on multiple operating systems. Specifically, it is manifested as: 1. Reduce development time, only one set of code is required; 2. Reduce maintenance costs and unify the testing process; 3. Quick iteration and team collaboration to simplify the deployment process.

Java'splatformindependencefacilitatescodereusebyallowingbytecodetorunonanyplatformwithaJVM.1)Developerscanwritecodeonceforconsistentbehavioracrossplatforms.2)Maintenanceisreducedascodedoesn'tneedrewriting.3)Librariesandframeworkscanbesharedacrossproj

To solve platform-specific problems in Java applications, you can take the following steps: 1. Use Java's System class to view system properties to understand the running environment. 2. Use the File class or java.nio.file package to process file paths. 3. Load the local library according to operating system conditions. 4. Use VisualVM or JProfiler to optimize cross-platform performance. 5. Ensure that the test environment is consistent with the production environment through Docker containerization. 6. Use GitHubActions to perform automated testing on multiple platforms. These methods help to effectively solve platform-specific problems in Java applications.

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Multithreading is important in modern programming because it can improve program responsiveness and resource utilization and handle complex concurrent tasks. JVM ensures the consistency and efficiency of multithreads on different operating systems through thread mapping, scheduling mechanism and synchronization lock mechanism.


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