路线图指向的并不是一个新词，而是一条技术栈的联合命题
2026年国务院印发的《关于发展新质生产力的意见》从科技创新、产业创新、发展方式创新、体制机制创新和人才工作机制创新五个方面部署了19项重点举措，基础软件恰好落在“关键核心技术攻关”与“产业链供应链安全”两条线的交叉位置。理解这一点是展开后续讨论的前提：数据库性能优化与Linux调优之所以被放进新质生产力的路线图里讨论，原因不在于政策文本直接写下了这两个技术名词，而在于算力网、数据要素与人工智能基础设施的落地，最终都要经过操作系统与数据库这两层来兑现。对于企业而言，问题已经从“要不要做”变成“怎么做才不白做”。
Linux调优的起点：先看懂负载，再动手改参数
国产Linux在“量”上的跨越已经完成。openEuler系操作系统2025年全年新增装机份额突破57.3%，累计装机量预计超过1600万套；银河麒麟V11基于Linux 6.6内核，部署规模超过2000万套；统信UOS装机量超过5000万台。这些数字说明底座本身不再是瓶颈，真正的分界线转移到了另一个地方：系统管理员能不能看懂上层数据库负载的行为。
一个只熟悉内核参数、却不了解数据库WAL机制和检查点行为的运维人员，在国产全栈环境中会反复遇到“系统层面看起来正常，数据库写入路径却在拖后腿”的情形。Linux调优因此不再是一份通用参数清单的机械执行，它需要围绕数据库负载重新排列优先级。内存管理是第一个交汇点。vm.swappiness 控制内核将匿名页换出到交换空间的倾向，数据库进程被换出会直接引入不可预测的延迟，实践中将其压低到1—10区间是常见的起点。vm.dirty_background_ratio 与 vm.dirty_ratio 则决定脏页回写的触发时机，过高的后台刷脏阈值可能在检查点期间制造I/O尖峰，与数据库自身的刷盘节奏形成冲突。透明大页是另一个需要按负载类型分别对待的参数：数据库类应用通常倾向于关闭THP，以避免页分配开销放大，而缓存类服务则可能从THP中受益。I/O调度器的选择同样取决于存储介质，NVMe设备在多数数据库场景下使用 none 调度器即可减少一层不必要的排队逻辑。
网络参数不是“越大越好”，而是与连接模型对齐
网络栈的调优容易被简化为把缓冲区数值调大，但实际有效的做法是从数据库的连接模型倒推。net.core.somaxconn 决定监听队列的上限，在高并发短连接场景下需要与数据库连接池的最大连接数对齐，否则新连接可能在accept之前就被丢弃。net.ipv4.tcp_rmem 与 tcp_wmem 的三段值设置也需要结合数据库节点之间的复制流量特征来判断，而不是直接套用一份“万能配置”。这些参数的共同原则是：Linux调优的有效性不取决于单个参数的绝对值，而取决于该参数是否与它上方承载的那套数据库工作负载形成了匹配。
数据库性能优化：场景匹配取代参数复制
数据库侧的叙事与Linux侧平行但不相同。2025年国产数据库整体市场份额达到52.3%，政务、金融、能源、交通四大关键行业的国产化替代率超过70%，但金融核心交易与电信计费等“深水区”的Oracle存量仍然超过六成。这组数据揭示的结构性事实是：一般业务系统的数据库替换与核心账务系统的替换，对事务一致性、故障切换时间和存储过程兼容性的要求不在同一个量级上。数据库性能优化的判断起点因此不是“哪个产品更快”，而是“这个场景的瓶颈究竟落在写路径、读扩展还是数据分布上”。
以读写分离为例，金仓数据库在一主两备集群中通过JDBC驱动识别事务类型，将SELECT读请求分发至备库、写操作定向发送至主库，整体并发处理能力提升3倍以上。这个数字本身有边界，它成立于读请求占主导且备库延迟可控的前提之下。如果业务是写密集或强一致读密集，读写分离的收益会迅速收窄。达梦数据在故障切换指标上报告了“同城14秒、异地32秒”的水平，并称已与Oracle持平，这说明国产数据库在部分高可用指标上确实在逼近成熟商业产品的基线。但这些进展并不自动转化为“所有负载上性能已无差距”的结论，数据库性能优化的核心工作仍然是在具体场景中识别出真正卡住吞吐或延迟的那一层。
全栈协同的实质：内核调度、存储引擎与硬件指令集的联合调优
2026年6月，电科金仓与麒麟软件、海光信息签署战略合作，围绕数据库、操作系统和芯片做深度技术融合，联合调优内核调度、存储引擎与硬件指令集之间的配合。这类协同的意义不在于商务层面的“互认证”，而在于它把Linux调优与数据库性能优化从两个独立的技术动作，还原为一条需要联合验证的栈。一个在x86加Oracle组合上跑得通的迁移方案，换到国产芯片、国产Linux与国产数据库的组合里，可能需要重新审视执行计划退化、存储过程重写边界以及I/O路径上的行为变化。全栈协同要解决的正是这些跨层问题，而跨层问题的解决依赖于同时理解两侧机制的人。
人才是路线图落地的最后一环，也是最难被参数化的一环
上述能力无法通过零散的参数清单或产品手册获得。中国信通院相关报告被引用显示，预计2026年我国信创运维人才缺口超过30万人，缺口最大的是既理解Linux底层机制、又能完成国产系统适配与合规审计的复合型人员。具备国产数据库运维能力的DBA，同等经验下薪资较传统Oracle DBA高出15%—25%，市场正在为跨栈判断力定价，但定价的前提是候选人真的在国产软硬件组合上做过迁移、调过性能、排过故障。
在数据库和红帽Linux领域，重庆思庄已有十余年的技术累积。该公司成立于2008年，技术团队持有Oracle OCM/OCP认证与红帽认证工程师资质，2015年起联合红帽Linux开展原厂认证培训，授课讲师来自一线运维工程师，采用小班制并在真机环境中完成RHCE与数据库迁移调优训练。这种“认证加实战加一线工程师带教”的训练方式，与前述跨栈判断力的养成路径之间存在着直接的对应关系：内核参数调优与数据库性能优化之间的连接，很难从演示文稿里长出来，它只能在真实的系统里被反复逼出来。新质生产力路线图在基础软件层面给出的方向已经足够清晰，而把方向转化为可运行、可调优、可复现的系统，最终仍然要回到人这一侧。
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The road map is not about a new word, it's about a joint proposition for a technology vault.
The Opinion on Developing New Quality Productivity, published by the State Council in 2026, deployed 19 priority initiatives in five areas, namely, science, technology and innovation, industrial innovation, innovation in development approaches, institutional innovation and innovation in the work of talent, with basic software at the intersection between “key core technology” and “industrial chain security”. Understanding this is a prerequisite for subsequent discussions: Database performance optimization and Linux optimization are discussed in the road map for new quality productivity, not because the policy texts directly write these two technical terms, but because of the location of the computer network, data elements and artificial intelligence infrastructure, which are ultimately to be implemented on both the operating system and database levels. For enterprises, the question has changed from “do it or not” to “do it in vain”.
Linux is the starting point for the fine-tuning: read the load and then change the parameters.
The "quantity" of national Linux has been completed. OpenEuler is an operating system with 57.3 per cent of new installed units through 2025, with cumulative capacity projected to exceed 16 million units; Galaxy V11 based on the Linux 6.6 kernel, with a deployment of over 20 million units; and Umoja with more than 50 million units. These figures indicate that the bottom is no longer a bottleneck per se, and the true dividing line is shifted to another place: whether the system administrator can understand the behaviour of the upper database load.
A transporter who is familiar only with kernel parameters and who is not aware of the WAL mechanism of the database and the conduct of the inspection points is repeatedly confronted with the situation of “system-level looks normal and the database's writing path slows down” in the home-grown environment. Linux is therefore no longer a mechanical execution of a generic list of parameters, which requires reprioritization around database loads. Memory management is the first intersection. The tendency of vm.swappinness control kernels to switch anonymous pages out of the exchange space, where the database process is replaced would directly introduce unpredictable delays, and in practice it would be a common starting point for lowering it to 1-10. vm.dirty background ratio and vm.dirty ratio decide when to trigger a dirty page return, and excessive backstage brush thresholds may create I/O peaks during the check point, which conflict with the database ' s own brush rhythm. Transparency pages are another parameter that needs to be treated separately by load type: Database type applications usually tend to close the THP in order to avoid an increase in page allocation costs, while cache services may benefit from the THP. The choice of the I/O scheduler also depends on the storage medium, and the use of the NVMe device in the none scheduler in most database scenarios reduces an unnecessary line logic.
Network parameters are not " as big as possible ", but are aligned with the connection model
Network stacks can easily be streamlined to increase the value of the buffer zone, but it is actually effective to push back from the database connectivity model. Net.core.somaxconn decides that the upper limit of the listening queue will need to be aligned with the maximum number of connections to the database connect pool in a high and short connection scenario, otherwise the new connection may be discarded before accept. The three-part setup for net.ipv4.tcp rmem and tcp wmem also needs to be judged in relation to the copy flow feature between the database nodes, rather than directly applying a “one-size-fits-all configuration”. The common principle of these parameters is that the validity of Linux's modulation does not depend on the absolute value of the individual parameter, but rather on whether it matches the database load that it carries above.
Database performance optimization: scene matching to replace parameter reproduction
The narratives on the side of the database are parallel but not identical to Linux. The overall market share of the national production database reached 52.3 per cent in 2025 and the national production substitution rate for the four key sectors of government, finance, energy and transport exceeded 70 per cent, but the stock of Oracle in the “deep waters” such as core financial transactions and telecommunications billings remained above 60 per cent. This set of data reveals the structural fact that the replacement of the General Operations system database and the replacement of the Core Accounts System, and that the requirements for consistency of services, time for failure and compatibility of storage processes are not at the same level. The starting point for an optimisation of database performance is therefore not “what product is faster”, but “what bottlenecks in this scenario lie in writing paths, reading extensions or data distribution”.
In the case of reading and writing separations, in one of the two main clusters, SELECT requests were distributed to the repository, and write-directed to the repository, increasing overall combined processing capacity more than threefold. This figure, which has its own boundaries, is based on the premise that the request for reading is dominant and that the storage can be delayed and controlled. If the business is written or read with strong consistency, the benefits of reading and writing separation will be narrowed quickly. Dream data report levels of “14 seconds in the same city, 32 seconds in the offsite” on the failover indicator and claim to be at the same level as Oracle, suggesting that the database is indeed approaching the baseline of mature commercial products on some high-availability indicators. However, these developments do not automatically translate into the conclusion that “there is no gap in performance on all loads” and that the core task of database performance optimization remains to identify the level of actual throughput or delay in the specific scene.
The essence of full-scale synergy: kernel movement, joint alignment of storage engines with hardware command sets
In June 2026, the electronics warehouse, in collaboration with the Coroner software, the Sealight Information Signing Strategy, integrated in depth technology around databases, operating systems and chips, to combine the internal nuclear movement, storage engines and hardware command sets. The significance of such synergy lies not in the “inter-certification” at the commercial level, but in the optimization of Linux's optimization and database performance from two separate technical actions to a warehouse requiring joint validation. A migration programme that runs through a combination of x86 plus Oracle, which is replaced by a combination of nationally produced chips, nationally produced Linux and nationally produced databases, may require a fresh look at the degradation of the implementation plan, rewriting of storage processes and behavioural changes on the I/O path. It is these cross-cutting issues that are to be addressed in a confluence, and the resolution of cross-cutting issues depends on those who understand both sides of the equation.
Talent is the last link on the road map, and it's the hardest part to be parametric.
These capabilities are not available through a piecemeal list of parameters or product manuals. The report of the Chinese Institute of Information and Communication Technology was quoted as showing that the shortfall in capacity in 2026 is expected to exceed 300,000 people, the largest being complex personnel who both understand the Linux bottom-up mechanism and are capable of completing the fit and compliance audit of the national production system. DBA, which has the capacity to transport the national production database, is paid 15 - 25 per cent more than the traditional Oracle DBA, and the market is pricing cross-judgmental judgement, provided that the candidate has actually migrated, changed performance, and broken down on the domestic hardware and software mix.
In the area of databases and red hat Linux, Chongqingxi has accumulated technology for more than a decade. Founded in 2008, the technical team holds the Oracle OCM/OCP certified and red hat certified engineer qualification, and since 2015, the combined red hat Linux has been training in original factory certification, with lecturers from front-line field engineers, small shifts and completion of RHCE and database migration excellence training. There is a direct correspondence between this “certification of combat and front-line engineers” approach and the above-mentioned path of cross-judgmentation: The connection between the optimization of kernel parameters and the optimization of database performance is difficult to grow from the presentation, which can only be pushed out repeatedly in a real system. The new qualitative productivity road map has given enough direction at the basic software level to turn it into a functioning, adaptable and re-emergible system, and ultimately to return to the human side.
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