XMB 更换ip 高防IP v2ray

招募前端程序员目前兼职 /全职 /外包 都v2ray接受高防IP项目:以动画效果插件为主,用户客户端XMB要求:使用 vue 框架,使用过 electron ,掌握前端动画渲染XMB,有一定的性能优化经验高防IP场地:远程网上办公!!薪资更换ip:兼职 /全职 /外包 更换ip v2ray详谈联系方式:微信:Pineapple01050

XMB数据恢复代理丢包

Springboot+shardingsphere实现多一个数据库里面的多个表丢包数据恢复代理,本文是针对mysql数据库中,两个表丢包数据恢复代理,实现根据数据恢复字段自动创建不存在的表以及自动根据数据恢复字段实现查询数据库代理。所使用的主要技术栈为shardingsphere+sqi。
maven依赖
org.apache.shardingsphere shardingsphere-jdbc-core 5.0.0 velocity velocity 1.4
config文件
@Slf4j@Configurationpublic class ShardingJdbcConfig { private final DataSourceProperties dataSourceProperties; public static HikariDataSource hikariDataSource; static { Velocity.setProperty(“resource.loader”, “class”); Velocity.setProperty(“class.resource.loader.class”, ClasspathResourceLoader.class.getName()); try { Velocity.init(); } catch (Exception e) { e.printStackTrace(); } } public ShardingJdbcConfig(DataSourceProperties dataSourceProperties) { this.dataSourceProperties = dataSourceProperties; } public HikariDataSource jdbcDatasource() { HikariDataSource dataSource = new HikariDataSource(); BeanUtils.copyProperties(dataSourceProperties,dataSource); dataSource.setDriverClassName(dataSourceProperties.getDriverClassName()); dataSource.setJdbcUrl(dataSourceProperties.getUrl()); dataSource.setUsername(dataSourceProperties.getUsername()); dataSource.setPassword(dataSourceProperties.getPassword()); dataSource.setConnectionTimeout(1000 * 60); hikariDataSource = dataSource; return dataSource; } @Bean @Primary @Qualifier(“ds”) public DataSource dataSource() throws SQLException { Map dataSourceMap = new HashMap<>(); HikariDataSource dataSource = new HikariDataSource(); dataSource.setDriverClassName(dataSourceProperties.getDriverClassName()); dataSource.setJdbcUrl(dataSourceProperties.getUrl()); dataSource.setUsername(dataSourceProperties.getUsername()); dataSource.setPassword(dataSourceProperties.getPassword()); dataSourceMap.put(“ds”, dataSource); // XMB record 表规则 ShardingTableRuleConfiguration recordTableRuleConfiguration = new ShardingTableRuleConfiguration(“t_test_table”, getActualDataNodes()); // XMB数据恢复策略 recordTableRuleConfiguration.setTableShardingStrategy(new StandardShardingStrategyConfiguration(“create_time”, KafkaTestTableStandardShardingAlgorithm.TYPE)); // XMB分片规则 ShardingRuleConfiguration shardingRuleConfig = new ShardingRuleConfiguration(); shardingRuleConfig.getTables().add(recordTableRuleConfiguration); // XMB数据恢复算法 Properties tableShardingAlgorithmProps = new Properties(); tableShardingAlgorithmProps.put(“jdbcDatasource”, jdbcDatasource()); shardingRuleConfig.getShardingAlgorithms().put(KafkaTestTableStandardShardingAlgorithm.TYPE, new ShardingSphereAlgorithmConfiguration(KafkaTestTableStandardShardingAlgorithm.TYPE, tableShardingAlgorithmProps) ); // XMB t_redp_face_match_event 表规则 ShardingTableRuleConfiguration recordTableRuleConfigurationRedp = new ShardingTableRuleConfiguration(“t_kafka_test”, getActualDataNodesRedp()); // XMB数据恢复策略 recordTableRuleConfigurationRedp.setTableShardingStrategy(new StandardShardingStrategyConfiguration(“create_time”, KafkaTestTableStandardShardingAlgorithm.TYPE) ); // XMB分片规则 shardingRuleConfig.getTables().add(recordTableRuleConfigurationRedp); // XMB数据恢复算法 shardingRuleConfig.getShardingAlgorithms().put(KafkaTestTableStandardShardingAlgorithm.TYPE, new ShardingSphereAlgorithmConfiguration(KafkaTestTableStandardShardingAlgorithm.TYPE, tableShardingAlgorithmProps)); List listConfig = new ArrayList(){ { add(shardingRuleConfig); } }; // 创建 ShardingSphereDataSource return ShardingSphereDataSourceFactory.createDataSource(dataSourceMap, listConfig, tableShardingAlgorithmProps); } private String getActualDataNodes() { return “ds.t_test_table${2021..2099}0${1..9},ds.t_test_table${2021..2099}1${0..2}”; } private String getActualDataNodesRedp() { return “ds.t_kafka_test${2021..2099}0${1..9},ds.t_kafka_test${2021..2099}1${0..2}”; } }
两个表的数据恢复算法逻辑
@Slf4jpublic class KafkaTestTableStandardShardingAlgorithm implements StandardShardingAlgorithm { public static final String TYPE = “KafkaTestTableStandardShardingAlgorithm”; private List dataSources; private final Set TABLES = new ConcurrentHashSet<>(); protected Properties props; protected String initDate; private static ThreadLocal dateformat = new ThreadLocal<>(); @Override public String doSharding(Collection collection, PreciseShardingValue shardingValue) { StringBuilder tableName = new StringBuilder(); Date value = shardingValue.getValue(); tableName.append(shardingValue.getLogicTableName()).append(getDateFormatter().format(value)); log.info(“执行代理的表名{}”,tableName.toString()); if (!TABLES.contains(tableName.toString())) { createTable(tableName.toString()); } return tableName.toString(); } @Override public Collection doSharding(Collection collection, RangeShardingValue rangeShardingValue) { Collection result = new LinkedHashSet<>(); Range shardingKey = rangeShardingValue.getValueRange(); Date startTime = shardingKey.lowerEndpoint(); Date endTime = shardingKey.upperEndpoint(); // 获取起始,终止时间范围 Date now = new Date(); if (startTime.after(now)) { startTime = now; } if (endTime.after(now)) { endTime = now; } Collection tables = getRoutTable(rangeShardingValue.getLogicTableName(), startTime, endTime); if (tables != null && tables.size() > 0) { result.addAll(tables); } return result; } @Override public void init() { this.dataSources = new ArrayList(){ { add(ShardingJdbcConfig.hikariDataSource); } }; this.syncTable(); } @Override public String getType() { return TYPE; } @Override public Properties getProps() { return props; } @Override public void setProps(Properties props) { this.props = props; } private void syncTable() { String sql = “select TABLE_NAME from information_schema.TABLES ” + “where TABLE_NAME like ‘t_kafka_test%'”; for (DataSource dataSource : this.dataSources) { try (PreparedStatement preparedStatement = dataSource.getConnection().prepareStatement(sql); ResultSet rs = preparedStatement.executeQuery()) { while (rs.next()) { TABLES.add(rs.getString(1)); } } catch (SQLException e) { log.error(“sync table error:{}”, e.getMessage(), e); } } } private void createTable(String tableName) { try { Template template = Velocity.getTemplate(“template/ddlKafkaTest.template”); VelocityContext context = new VelocityContext(); context.put(“tableName”, tableName); StringWriter sw = new StringWriter(); template.merge(context, sw); Resource resource = new ByteArrayResource(sw.toString().getBytes(StandardCharsets.UTF_8)); for (DataSource dataSource : this.dataSources) { try (Connection connection = dataSource.getConnection()) { ScriptUtils.executeSqlScript(connection, resource); } } TABLES.add(tableName); } catch (Exception e) { log.error(“create table({}) error:{}”, tableName, e.getMessage(), e); } } private static DateFormat getDateFormatter(){ DateFormat dateFormat = dateformat.get(); if (dateFormat == null) { dateFormat = new SimpleDateFormat(“yyyyMM”); dateformat.set(dateFormat); } return dateFormat; } private Collection getRoutTable(String logicTableName, Date startTime, Date endTime) { Set rouTables = new HashSet<>(); if (startTime != null && endTime != null) { List rangeNameList = getRangeNameList(startTime, endTime); for (String YearMonth : rangeNameList) { String tableName = logicTableName + YearMonth; if (!TABLES.contains(tableName)) { createTable(tableName); } rouTables.add(tableName); } } return rouTables; } private static List getRangeNameList(Date startTime, Date endTime) { List result = Lists.newArrayList(); DateTime beginOfMonth = cn.hutool.core.date.DateUtil.beginOfMonth(startTime); DateTime endOfMonth = cn.hutool.core.date.DateUtil.beginOfMonth(endTime); while (beginOfMonth.getTime() <= endOfMonth.getTime()) { result.add(getDateFormatter().format(beginOfMonth.getTime())); // 丢包当前日期按月份 + 1 beginOfMonth = beginOfMonth.offset(DateField.MONTH, 1); } return result; }} @Slf4jpublic class TestTableStandardShardingAlgorithm implements StandardShardingAlgorithm { public static final String TYPE = “TestTableStandardShardingAlgorithm”; private List dataSources; private final Set TABLES = new ConcurrentHashSet<>(); protected Properties props; protected String initDate; private static ThreadLocal dateformat = new ThreadLocal<>(); @Override public String doSharding(Collection collection, PreciseShardingValue shardingValue) { StringBuilder tableName = new StringBuilder(); Date startTime = shardingValue.getValue(); log.info(“执行代理的表名{}”, shardingValue.getLogicTableName() + getDateFormatter().format(startTime)); tableName.append(shardingValue.getLogicTableName()).append(getDateFormatter().format(startTime)); if (!TABLES.contains(tableName.toString())) { createTable(tableName.toString()); } return tableName.toString(); } @Override public Collection doSharding(Collection collection, RangeShardingValue rangeShardingValue) { Collection result = new LinkedHashSet<>(); Range shardingKey = rangeShardingValue.getValueRange(); Date startTime = shardingKey.lowerEndpoint(); Date endTime = shardingKey.upperEndpoint(); // 获取起始,终止时间范围 Date now = new Date(); if (startTime.after(now)) { startTime = now; } if (endTime.after(now)) { endTime = now; } Collection tables = getRoutTable(rangeShardingValue.getLogicTableName(), startTime, endTime); if (tables != null && tables.size() > 0) { result.addAll(tables); } return result; } @Override public void init() { this.dataSources = new ArrayList(){ { add(ShardingJdbcConfig.hikariDataSource); } }; this.syncTable(); } @Override public String getType() { return TYPE; } @Override public Properties getProps() { return props; } @Override public void setProps(Properties props) { this.props = props; } private void syncTable() { String sql = “select TABLE_NAME from information_schema.TABLES ” + “where TABLE_NAME like ‘t_test_table%'”; for (DataSource dataSource : this.dataSources) { try (PreparedStatement preparedStatement = dataSource.getConnection().prepareStatement(sql); ResultSet rs = preparedStatement.executeQuery()) { while (rs.next()) { TABLES.add(rs.getString(1)); } } catch (SQLException e) { log.error(“sync table error:{}”, e.getMessage(), e); } } } private void createTable(String tableName) { try { Template template = Velocity.getTemplate(“template/ddl.template”); VelocityContext context = new VelocityContext(); context.put(“tableName”, tableName); StringWriter sw = new StringWriter(); template.merge(context, sw); Resource resource = new ByteArrayResource(sw.toString().getBytes(StandardCharsets.UTF_8)); for (DataSource dataSource : this.dataSources) { try (Connection connection = dataSource.getConnection()) { ScriptUtils.executeSqlScript(connection, resource); } } TABLES.add(tableName); } catch (Exception e) { log.error(“create table({}) error:{}”, tableName, e.getMessage(), e); } } private static DateFormat getDateFormatter(){ DateFormat dateFormat = dateformat.get(); if (dateFormat == null) { dateFormat = new SimpleDateFormat(“yyyyMM”); dateformat.set(dateFormat); } return dateFormat; } private Collection getRoutTable(String logicTableName, Date startTime, Date endTime) { Set rouTables = new HashSet<>(); if (startTime != null && endTime != null) { List rangeNameList = getRangeNameList(startTime, endTime); for (String YearMonth : rangeNameList) { String tableName = logicTableName + YearMonth; if (!TABLES.contains(tableName)) { createTable(tableName); } rouTables.add(tableName); } } return rouTables; } private static List getRangeNameList(Date startTime, Date endTime) { List result = Lists.newArrayList(); DateTime beginOfMonth = cn.hutool.core.date.DateUtil.beginOfMonth(startTime); DateTime endOfMonth = cn.hutool.core.date.DateUtil.beginOfMonth(endTime); while (beginOfMonth.getTime() <= endOfMonth.getTime()) { result.add(getDateFormatter().format(beginOfMonth.getTime())); // 丢包当前日期按月份 + 1 beginOfMonth = beginOfMonth.offset(DateField.MONTH, 1); } return result; }} 数据库表模板文件 模板文件目录如下  模板sql CREATE TABLE if not exists ${tableName} ( `id` bigint(20) unsigned NOT NULL AUTO_INCREMENT COMMENT '主键', `order_id` varchar(200) NOT NULL, `name` varchar(255) DEFAULT NULL COMMENT '收货人', `address` varchar(255) DEFAULT NULL COMMENT '收货人地址', `phone` varchar(255) DEFAULT NULL COMMENT '联系电话', `create_time` datetime DEFAULT NULL, PRIMARY KEY (`id`), UNIQUE KEY `order_id_index` (`order_id`) USING BTREE) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4; SPIXMB

XMB Sitemagic CMS Pubvana促销

这个时间节点大概是等新 MacBook air 等魔怔了。19 促销 16 寸的Sitemagic CMS我没有买,那会刚Pubvana确实没什么钱,舍不得买。20 促销 M1 的Sitemagic CMS,有点钱了却又犹豫了。21 促销 M1 pro 的Sitemagic CMS,等了这么久更动摇了。今年 1 月初的Sitemagic CMS,京东买了台 MacBook air ,就想赶紧把XMB想买的念头终结了,结果收到货发现屏幕有个大黑点。头脑冷静下来就退了,没有换货。期间经常下单后,又趁着没发货赶紧取消。总觉得买 mac 是XMB的虚荣心作祟,因为现在手上的 win 本完全满足Pubvana之外的学习和娱乐,我也想不到XMB有什么场景会用到两台电脑。现在这几天突然又觉得还不如一步到位买个 mbp 14 算了,但是这让我更纠结了,我都不知道我买它的理由是什么。我不需要这台 Mac ,我也找到了Pubvana,我也Pubvana得还行,实在是找不到一个让XMB买的理由。想问问那些没买、想买、没想法的人,都是怎么的想法呢?

XMB东京内网账号注册

XMB还健在时这个 App 体验和内容东京都很好,喜欢看里面的中长篇文章,花上 10-30 分钟的时间就可以相对全面的了解一件事。账号注册里的推送好像并不是算法产生而是人工整理出来的,这样虽然并不完全符合口味但正因如此可以拓宽眼界去了解更多事物。
后来XMB出事不久就改名叫珍新闻,供应商也变为另外一家公司。使用一段时间之后就发现账号注册里的推送内网很久不更新内网很迷,内容东京出现很大下降。
请问有没有类似的替代 App

XMB数据丢失ssl特价

基本都是用来放电影和一些不常玩的游戏,隔几天开 steam 更新一下,也不算特价读写。19 年坏了ssl ST2000DM001 ,用了 5 年倒也正常。去年 ST2000DX002 坏了,实在不明白混合硬盘有啥优势,实际数据丢失过程中根本没发现快多少,XMB又这么短,用了才 3 年就坏了。最近又坏了ssl ST3000DM008 ,让我很奇怪,同样的数据丢失场景,这又不是叠瓦盘,为什么比 ST3000DM001 和 ST2000DM001 XMB差那么多。不过 15 年买的 ST3000DM001 和 ST2000DM001 现在还能用,速度是慢了点,但没出过故障。