partitioner

简明释义

英[pɑːrˈtɪʃənə]美[pɑrˈtɪʃənər]

n. 瓜分者，分割者

英英释义

单词用法

同义词

反义词

例句

1.Enables parallelization of a query, as sourced by a custom partitioner that is responsible for splitting the input sequence into partitions.

启用查询的并行化，并由负责将输入序列拆分成各个分区的自定义分区程序指明其出处。

2.Enables parallelization of a query, as sourced by a custom partitioner that is responsible for splitting the input sequence into partitions.

启用查询的并行化，并由负责将输入序列拆分成各个分区的自定义分区程序指明其出处。

3.The partitioner USES the event to find the first line containing changed text and the TypedPosition containing the start of the line.

分区程序使用该事件来寻找包含了已改变文本的第一行以及包含该行起点的TypedPosition。

4.In the CDT, this partitioner is initialized with an array of four Strings, each naming a different partition.

在CDT中，此分区程序由四个String组成的一个数组来初始化，每个String命名了一个不同的分区。

5.Describes how partitioners work and how to configure the default partitioners or create a new partitioner.

描述计划程序的工作方式，以及如何配置默认计划程序。

6.When this occurs, you might be able to increase the query performance by creating a custom partitioner.

如果发生这种情况，您也许能够通过创建自定义分区程序来提高查询性能。

7.Using your favorite partitioner (fdisk, parted, gparted), create a new partition for LVM usage.

使用您喜欢的分区工具（比如 fdisk、parted或 gparted），创建一个供 LVM 使用的新分区。

8.The data processing system uses a partitioner to distribute tasks evenly across multiple servers.

数据处理系统使用一个分区器来将任务均匀分配到多个服务器上。

9.In the context of big data, a partitioner helps optimize data storage and retrieval.

在大数据的背景下，分区器有助于优化数据存储和检索。

10.The software engineer implemented a custom partitioner to improve the performance of the application.

软件工程师实现了一个自定义的分区器以提高应用程序的性能。

11.Using a reliable partitioner can significantly reduce processing time in distributed systems.

使用可靠的分区器可以显著减少分布式系统中的处理时间。

12.The cloud service provider offers a built-in partitioner for managing large datasets.

云服务提供商提供了一个内置的分区器用于管理大型数据集。

作文

In the world of technology and data management, the role of a partitioner is crucial for optimizing performance and ensuring efficient resource utilization. A partitioner is a component or tool that divides data into distinct segments or partitions, allowing systems to manage and process large datasets more effectively. This process is essential in various applications, particularly in databases, distributed computing, and big data frameworks. To better understand the importance of a partitioner, consider a scenario where a company needs to analyze customer data from millions of transactions. Without a proper partitioner, this data would be overwhelming to process as a single entity. By employing a partitioner, the data can be divided based on specific criteria such as geographical location, transaction date, or customer demographics. This division not only makes the data more manageable but also enhances query performance, as the system can retrieve relevant information from smaller, more focused partitions rather than sifting through an entire dataset. Moreover, a well-designed partitioner can improve load balancing across servers in a distributed environment. When data is evenly partitioned, it prevents any single server from becoming a bottleneck due to excessive load. This is particularly important in cloud computing, where resources are allocated dynamically. The partitioner ensures that each server handles an appropriate amount of data, leading to improved response times and overall system efficiency. Another significant aspect of a partitioner is its role in enhancing data availability and fault tolerance. In a distributed system, if one node fails, the data can still be accessed from other nodes that hold copies of the partitions. This redundancy is vital for maintaining service continuity and protecting against data loss. Thus, a partitioner not only facilitates better data management but also contributes to the resilience of the entire system. When implementing a partitioner, it is essential to choose the right partitioning strategy. Common strategies include range partitioning, list partitioning, hash partitioning, and composite partitioning. Each method has its advantages and is suitable for different types of data and use cases. For instance, hash partitioning is often used when the data is uniformly distributed, while range partitioning is beneficial for data that has a natural order, such as dates. In conclusion, the role of a partitioner in data management cannot be overstated. It is a fundamental element that enables organizations to handle vast amounts of data efficiently, maintain high performance, and ensure system reliability. As businesses continue to generate and rely on large datasets, the significance of a partitioner will only grow, making it an essential component in the toolkit of data engineers and IT professionals. Understanding how to effectively implement and utilize a partitioner can lead to significant improvements in data processing capabilities and overall organizational efficiency.

在技术和数据管理的世界中，partitioner 的角色对于优化性能和确保资源的有效利用至关重要。partitioner 是一个组件或工具，用于将数据划分为不同的段或分区，从而使系统能够更有效地管理和处理大型数据集。这个过程在各种应用中都是必不可少的，特别是在数据库、分布式计算和大数据框架中。 为了更好地理解 partitioner 的重要性，考虑一个场景：一家公司需要分析来自数百万笔交易的客户数据。如果没有适当的 partitioner，这些数据作为一个整体将难以处理。通过使用 partitioner，数据可以根据特定标准进行划分，例如地理位置、交易日期或客户人口统计信息。这种划分不仅使数据更易于管理，还增强了查询性能，因为系统可以从较小、更集中化的分区中检索相关信息，而不是从整个数据集中筛选。 此外，良好设计的 partitioner 可以改善分布式环境中的负载均衡。当数据均匀分配时，可以防止任何单个服务器因负载过重而成为瓶颈。这在云计算中尤为重要，因为资源是动态分配的。partitioner 确保每台服务器处理适量的数据，从而提高响应时间和整体系统效率。 partitioner 的另一个重要方面是它在增强数据可用性和容错性方面的作用。在分布式系统中，如果一个节点失败，数据仍然可以从持有分区副本的其他节点访问。这种冗余对于维持服务的连续性和防止数据丢失至关重要。因此，partitioner 不仅促进了更好的数据管理，还对整个系统的弹性做出了贡献。 在实施 partitioner 时，选择合适的分区策略至关重要。常见的策略包括范围分区、列表分区、哈希分区和复合分区。每种方法都有其优点，并适用于不同类型的数据和使用案例。例如，当数据均匀分布时，通常使用哈希分区，而范围分区则适用于具有自然顺序的数据，例如日期。 总之，partitioner 在数据管理中的角色不可低估。它是一个基本元素，使组织能够高效处理大量数据，保持高性能，并确保系统可靠性。随着企业继续生成和依赖大型数据集，partitioner 的重要性只会增加，使其成为数据工程师和IT专业人员工具包中的一个重要组成部分。理解如何有效实施和利用 partitioner 可以显著提高数据处理能力和整体组织效率。