Inline method of DB servers

最新推荐文章于 2024-09-07 22:41:34 发布
最新推荐文章于 2024-09-07 22:41:34 发布 · 103 阅读 · 0
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#Java

本文探讨了在不同数据库类型中 CHARINDEX 与 INSTR 函数的应用。具体而言，当使用 MSSQL 时采用 CHARINDEX 函数，而对于其他数据库则推荐使用 INSTR 函数来查找指定字符串的位置。
1. CHARINDEX vs INSTR
if ("MSSQL".equals(DATABASE_TYPE)) {
    express = " CHARINDEX(bas.COLUMN_ID,col.expression) ";
} else {
    express = " INSTR(col.expression, bas.COLUMN_ID) ";
}
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#-------------------------------------------------- # http://www.snort.org Snort Ruleset # Contact: snort-sigs@lists.sourceforge.net #-------------------------------------------------- # $Id$ # ################################################### # This file contains a sample snort configuration. # You should take the following steps to create your own custom configuration: # # 1) Set the network variables. # 2) Configure the decoder # 3) Configure the base detection engine # 4) Configure dynamic loaded libraries # 5) Configure preprocessors # 6) Configure output plugins # 7) Customize your rule set ################################################### ################################################### # Step #1: Set the network variables. For more information, see README.variables ################################################### # Setup the network addresses you are protecting var HOME_NET 192.168.119.0/24 # Set up the external network addresses. 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For more information, see README.flowbits # config flowbits_size: 64 # Configure ports to ignore # config ignore_ports: tcp 21 6667:6671 1356 # config ignore_ports: udp 1:17 53 ################################################### # Step #3: Configure the base detection engine. For more information, see README.decode ################################################### # Configure PCRE match limitations config pcre_match_limit: 1500 config pcre_match_limit_recursion: 1500 # Configure the detection engine See the Snort Manual, Configuring Snort - Includes - Config config detection: search-method ac-bnfa max_queue_events 5 # Configure the event queue. For more information, see README.event_queue config event_queue: max_queue 8 log 3 order_events content_length # Configure Inline Resets. See README.INLINE # config layer2resets: 00:06:76:DD:5F:E3 ################################################### # Step #4: Configure dynamic loaded libraries. # For more information, see Snort Manual, Configuring Snort - Dynamic Modules ################################################### # path to dynamic preprocessor libraries #dynamicpreprocessor directory /usr/local/lib/snort_dynamicpreprocessor/ # path to base preprocessor engine #dynamicengine /usr/local/lib/snort_dynamicengine/libsf_engine.so # path to dynamic rules libraries # dynamicdetection directory /usr/local/lib/snort_dynamicrules # 配置Windows下的动态模块路径 dynamicpreprocessor file C:\Snort\lib\snort_dynamicpreprocessor\sf_dce2.dll dynamicpreprocessor file C:\Snort\lib\snort_dynamicpreprocessor\sf_dns.dll dynamicpreprocessor file C:\Snort\lib\snort_dynamicpreprocessor\sf_ftptelnet.dll dynamicpreprocessor file C:\Snort\lib\snort_dynamicpreprocessor\sf_sdf.dll dynamicpreprocessor file C:\Snort\lib\snort_dynamicpreprocessor\sf_smtp.dll dynamicpreprocessor file C:\Snort\lib\snort_dynamicpreprocessor\sf_ssh.dll dynamicpreprocessor file C:\Snort\lib\snort_dynamicpreprocessor\sf_ssl.dll dynamicengine C:\Snort\lib\snort_dynamicengine\sf_engine.dll ################################################### # Step #5: Configure preprocessors # For more information, see the Snort Manual, Configuring Snort - Preprocessors ################################################### # Target-based IP defragmentation. For more inforation, see README.frag3 preprocessor frag3_global: max_frags 65536 preprocessor frag3_engine: policy windows timeout 180 # Target-Based stateful inspection/stream reassembly. For more inforation, see README.stream5 preprocessor stream5_global: max_tcp 8192, track_tcp yes, track_udp no preprocessor stream5_tcp: policy windows, use_static_footprint_sizes, ports client 21 22 23 25 42 53 79 80 109 110 111 113 119 135 136 137 139 143 110 111 161 445 513 514 691 1433 1521 2100 2301 3128 3306 6665 6666 6667 6668 6669 7000 8000 8080 8180 8888 32770 32771 32772 32773 32774 32775 32776 32777 32778 32779, ports both 443 465 563 636 989 992 993 994 995 7801 7702 7900 7901 7902 7903 7904 7905 7906 6907 7908 7909 7910 7911 7912 7913 7914 7915 7916 7917 7918 7919 7920 # preprocessor stream5_udp: ignore_any_rules # performance statistics. For more information, see the Snort Manual, Configuring Snort - Preprocessors - Performance Monitor # preprocessor perfmonitor: time 300 file /var/snort/snort.stats pktcnt 10000 # HTTP normalization and anomaly detection. For more information, see README.http_inspect preprocessor http_inspect: global iis_unicode_map unicode.map 1252 preprocessor http_inspect_server: server default \ apache_whitespace no \ ascii no \ bare_byte no \ chunk_length 500000 \ flow_depth 1460 \ directory no \ double_decode no \ iis_backslash no \ iis_delimiter no \ iis_unicode no \ multi_slash no \ non_strict \ oversize_dir_length 500 \ ports { 80 2301 3128 7777 7779 8000 8008 8028 8080 8180 8888 9999 } \ u_encode yes \ non_rfc_char { 0x00 0x01 0x02 0x03 0x04 0x05 0x06 0x07 } \ webroot no # ONC-RPC normalization and anomaly detection. For more information, see the Snort Manual, Configuring Snort - Preprocessors - RPC Decode preprocessor rpc_decode: 111 32770 32771 32772 32773 32774 32775 32776 32777 32778 32779 no_alert_multiple_requests no_alert_large_fragments no_alert_incomplete # Back Orifice detection. preprocessor bo # FTP / Telnet normalization and anomaly detection. For more information, see README.ftptelnet preprocessor ftp_telnet: global encrypted_traffic yes check_encrypted inspection_type stateful preprocessor ftp_telnet_protocol: telnet \ ayt_attack_thresh 20 \ normalize ports { 23 } \ detect_anomalies #preprocessor ftp_telnet_protocol: ftp server default \ # def_max_param_len 100 \ # ports { 21 2100 } \ # ftp_cmds { USER PASS ACCT CWD SDUP SMNT QUIT REIN PORT PASV TYPE STRU MODE } \ # ftp_cmds { RETR STOR STOU APPE ALLO REST RNFR RNTO ABOR DELE RMD MKD PWD } \ # ftp_cmds { LIST NLST SITE SYST STAT HELP NOOP } \ # ftp_cmds { AUTH ADAT PROT PBSZ CONF ENC } \ # ftp_cmds { FEAT OPTS CEL CMD MACB } \ # ftp_cmds { MDTM REST SIZE MLST MLSD } \ # ftp_cmds { XPWD XCWD XCUP XMKD XRMD TEST CLNT } \ # alt_max_param_len 0 { CDUP QUIT REIN PASV STOU ABOR PWD SYST NOOP } \ # alt_max_param_len 100 { MDTM CEL XCWD SITE USER PASS REST DELE RMD SYST TEST STAT MACB EPSV CLNT LPRT } \ # alt_max_param_len 200 { XMKD NLST ALLO STOU APPE RETR STOR CMD RNFR HELP } \ # alt_max_param_len 256 { RNTO CWD } \ # alt_max_param_len 400 { PORT } \ # alt_max_param_len 512 { SIZE } \ # chk_str_fmt { USER PASS ACCT CWD SDUP SMNT PORT TYPE STRU MODE } \ # chk_str_fmt { RETR STOR STOU APPE ALLO REST RNFR RNTO DELE RMD MKD } \ # chk_str_fmt { LIST NLST SITE SYST STAT HELP } \ # chk_str_fmt { AUTH ADAT PROT PBSZ CONF ENC } \ # chk_str_fmt { FEAT OPTS CEL CMD } \ # chk_str_fmt { MDTM REST SIZE MLST MLSD } \ # chk_str_fmt { XPWD XCWD XCUP XMKD XRMD TEST CLNT } \ # cmd_validity MODE < char ASBCZ > \ # cmd_validity STRU < char FRP > \ # cmd_validity ALLO < int [ char R int ] > \ # cmd_validity TYPE < { char AE [ char NTC ] | char I | char L [ number ] } > \ # cmd_validity MDTM < [ date nnnnnnnnnnnnnn[.n[n[n]]] ] string > \ # cmd_validity PORT < host_port > #preprocessor ftp_telnet_protocol: ftp client default \ # max_resp_len 256 \ # bounce yes \ # telnet_cmds no # SMTP normalization and anomaly detection. 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内容概要：本文系统性地介绍了编程语言进阶的学习路径与实战项目实践，涵盖主流技术栈（Python、Java、Go、Rust）的优劣势分析，针对高并发性能优化、业务逻辑可维护性、数据处理效率等行业痛点提供具体解决方案，并结合设计模式与代码示例深入讲解。文章重点通过构建一个基于FastAPI的简易电商平台后端，演示了从技术选型、核心编码到项目优化的完整流程，强调性能调优、架构设计与实际工程问题的应对策略。最后提出进阶建议，倡导深入底层原理、掌握云原生技术、参与开源项目以持续提升技术能力。; 适合人群：具备一定编程经验，希望提升系统设计能力和工程实战水平的1-3年开发者，以及准备向中高级工程师进阶的技术人员。; 使用场景及目标：①帮助开发者在不同技术路线间做出合理选型决策；②掌握高并发、分布式、缓存等关键技术的实际应用；③通过完整项目实践理解Web后端开发全流程并积累可迁移经验；④提升对框架底层原理和系统性能优化的理解。; 阅读建议：建议边读边动手实现文中的代码示例与项目模块，结合调试与性能测试加深理解，同时延伸学习文中提到的底层机制（如GIL、goroutine、ORM原理）和工具链（Docker、Redis、JWT），以构建完整的知识体系。
基于遗传算法的新的异构分布式系统任务调度算法研究（Matlab代码实现）
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基于遗传算法的新的异构分布式系统任务调度算法研究（Matlab代码实现）内容概要：本文研究了一种基于遗传算法的新型任务调度算法，旨在优化异构分布式系统中的任务分配与执行效率。通过Matlab代码实现，该算法利用遗传算法的全局搜索能力，解决任务调度中的复杂优化问题，提升系统资源利用率和任务完成速度。文中详细阐述了算法的设计思路、编码方式、适应度函数构建及交叉变异操作，并通过仿真实验验证了其相较于传统方法在调度性能上的优越性。; 适合人群：具备一定编程基础，熟悉Matlab工具，从事分布式系统、任务调度或智能优化算法研究的研究生及科研人员。; 使用场景及目标：①应用于异构计算环境下的高效任务调度；②为科研人员提供遗传算法在调度领域应用的完整实现案例，支持进一步改进与对比实验；③服务于高校教学与课程设计中关于智能优化算法的实践环节。; 阅读建议：建议读者结合提供的Matlab代码进行调试与运行，深入理解遗传算法在任务调度中的具体实现细节，并可通过修改参数或引入其他优化策略开展扩展性研究。
基于遗传算法的微电网调度(风、光、蓄电池、微型燃气轮机）（Matlab代码实现）
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基于遗传算法的微电网调度(风、光、蓄电池、微型燃气轮机）（Matlab代码实现）内容概要：本文档介绍了基于遗传算法的微电网调度模型，涵盖风能、太阳能、蓄电池和微型燃气轮机等多种能源形式，并通过Matlab代码实现系统优化调度。该模型旨在解决微电网中多能源协调运行的问题，优化能源分配，降低运行成本，提高可再生能源利用率，同时考虑系统稳定性与经济性。文中详细阐述了遗传算法在求解微电网多目标优化问题中的应用，包括编码方式、适应度函数设计、约束处理及算法流程，并提供了完整的仿真代码供复现与学习。此外，文档还列举了大量相关电力系统优化案例，如负荷预测、储能配置、潮流计算等，展示了广泛的应用背景和技术支撑。; 适合人群：具备一定电力系统基础知识和Matlab编程能力的研究生、科研人员及从事微电网、智能电网优化研究的工程技术人员。; 使用场景及目标：①学习遗传算法在微电网调度中的具体实现方法；②掌握多能源系统建模与优化调度的技术路线；③为科研项目、毕业设计或实际工程提供可复用的代码框架与算法参考； 阅读建议：建议结合Matlab代码逐段理解算法实现细节，重点关注目标函数构建与约束条件处理，同时可参考文档中提供的其他优化案例进行拓展学习，以提升综合应用能力。
InLine Hook技术源码深入解析
根据提供的文件信息，我们需要讨论的主题是“Inline Hook”技术，这是在软件逆向工程和安全领域中常见的一种技术手段。Inline Hook技术通常用于在不修改原有二进制文件的情况下，插入代码以修改程序的行为，或者监控...
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