CPU: I3 2.4Ghz 4核,内存8G 方式一:采用其原生接口操作 JVM:-Xms1024m -Xmx1024m -Xmn512m-XX:PermSize=128m -XX:MaxPermSize=256m 4000节点(50个属性),4000关系:1秒,其间cpu使用率25%,761M 8000节点(50个属性),8000关系:2秒,其间cpu使用率25%,82
CPU: I3 2.4Ghz 4核,内存8G方式一:采用其原生接口操作
JVM:-Xms1024m -Xmx1024m -Xmn512m-XX:PermSize=128m -XX:MaxPermSize=256m
4000节点(50个属性),4000关系:1秒,其间cpu使用率25%,761M
8000节点(50个属性),8000关系:2秒,其间cpu使用率25%,829M
16000节点(50个属性),16000关系:5秒,其间cpu使用率25,983M
24000节点(50个属性),24000关系:9秒,其间cpu使用率25%,1079M
32000节点(50个属性),32000关系:14秒,其间cpu使用率25%,1187M
40000节点(50个属性),40000关系:执行1多分钟以后直接报outOfMemery: java heap space
内存使用:
结论:插入时用事务插入接口的话,在JVM 1G内存的配置下最后能够插入3万多个节点和关系,再多就内存溢出。
方式二:采用BatchInserter接口JVM:采用JVM默认设置
40000节点(50个属性),40000关系:6秒,其间CPU使用率25%,内存288M
80000节点(50个属性),80000关系:17秒,其间CPU使用率25%,内存288M
120000节点(50个属性),120000关系:31秒,其间CPU使用率25%,内存289M
200000节点(50个属性),200000关系:56秒,其间CPU使用率25%,内存288M
分析:
根据官方文档,当少量数据(根据测试观察5000条以下)插入时,建议使用事务型插入接口(即通常NEO4J的数据操作接口),速度还是可以的;当数据量比较大时,建议采用专用的BatchInserters接口,这个接口在插入时不创建事务,估计内存占用很少,基本上在不同数据量的操作期间内存无太大变化。由此可见,在向NEO4J导入大量数据时,可以有以下两种方法实现快速插入:
化大为小法此法是将大量的数据集合分成5000条或者更少集合,使用事务型插入接口插入数据,这样整体的插入时间按照以上的测试结果,100000条数据可以在30秒内插入完毕。缺点是需要分拆数据集合为小的集合;优点是当用户已经在运行一组NEO4J的数据库时,只需改造相关的代码即可,也不需要在导入期间暂停数据库。
批量插入法此法不管数据量多大,都可以实现快速插入,实现速度和内存的平衡,适合在初始化数据库时(或者需要大量导入数据时)一次性导入大量的数据;缺点是导入数据时要暂停数据库,采用BatchInserters接口导入,不能实现业务无中断运行。
建议:
采用化大为小法,当插入(导入)数据量大于1000个时,采用分批插入的方法,可以达到快速插入数据的目的,也能保证内存占用量不会有太大的变化而导致OOM。

MySQL functions can be used for data processing and calculation. 1. Basic usage includes string processing, date calculation and mathematical operations. 2. Advanced usage involves combining multiple functions to implement complex operations. 3. Performance optimization requires avoiding the use of functions in the WHERE clause and using GROUPBY and temporary tables.

Efficient methods for batch inserting data in MySQL include: 1. Using INSERTINTO...VALUES syntax, 2. Using LOADDATAINFILE command, 3. Using transaction processing, 4. Adjust batch size, 5. Disable indexing, 6. Using INSERTIGNORE or INSERT...ONDUPLICATEKEYUPDATE, these methods can significantly improve database operation efficiency.

In MySQL, add fields using ALTERTABLEtable_nameADDCOLUMNnew_columnVARCHAR(255)AFTERexisting_column, delete fields using ALTERTABLEtable_nameDROPCOLUMNcolumn_to_drop. When adding fields, you need to specify a location to optimize query performance and data structure; before deleting fields, you need to confirm that the operation is irreversible; modifying table structure using online DDL, backup data, test environment, and low-load time periods is performance optimization and best practice.

Use the EXPLAIN command to analyze the execution plan of MySQL queries. 1. The EXPLAIN command displays the execution plan of the query to help find performance bottlenecks. 2. The execution plan includes fields such as id, select_type, table, type, possible_keys, key, key_len, ref, rows and Extra. 3. According to the execution plan, you can optimize queries by adding indexes, avoiding full table scans, optimizing JOIN operations, and using overlay indexes.

Subqueries can improve the efficiency of MySQL query. 1) Subquery simplifies complex query logic, such as filtering data and calculating aggregated values. 2) MySQL optimizer may convert subqueries to JOIN operations to improve performance. 3) Using EXISTS instead of IN can avoid multiple rows returning errors. 4) Optimization strategies include avoiding related subqueries, using EXISTS, index optimization, and avoiding subquery nesting.

Methods for configuring character sets and collations in MySQL include: 1. Setting the character sets and collations at the server level: SETNAMES'utf8'; SETCHARACTERSETutf8; SETCOLLATION_CONNECTION='utf8_general_ci'; 2. Create a database that uses specific character sets and collations: CREATEDATABASEexample_dbCHARACTERSETutf8COLLATEutf8_general_ci; 3. Specify character sets and collations when creating a table: CREATETABLEexample_table(idINT

To safely and thoroughly uninstall MySQL and clean all residual files, follow the following steps: 1. Stop MySQL service; 2. Uninstall MySQL packages; 3. Clean configuration files and data directories; 4. Verify that the uninstallation is thorough.

Renaming a database in MySQL requires indirect methods. The steps are as follows: 1. Create a new database; 2. Use mysqldump to export the old database; 3. Import the data into the new database; 4. Delete the old database.


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