What is the translation of " OBJECT STORE " in Chinese?

• 对象存储

Examples of using Object store in English and their translations into Chinese

Object Stores.
对象存储.

Creating an object store.
创建一个objectstore。

Cloud-based object stores become a viable alternative to Hadoop HDFS.
基于云的对象存储成为HadoopHDFS的可行替代方案。

This is an open-source distributed object store and file system.
这是一个开源的分布式对象存储和文件系统。

The object store can optionally have a key generator and a key path.
对象存储可以有一个keygenerator和一个keypath。

Support for Ceph- a scalable, distributed object store and file system.
Ceph--一个分布式的对象存储和文件系统。

Every object store also optionally has a key generator and an optional key path.
对象存储可以有一个keygenerator和一个keypath。

Ozone is a scalable, redundant, and distributed object store for Hadoop.
Ozone是Hadoop的可扩展、冗余和分布式对象存储。

Each Object Store.
每个对象存储都.

Hadoop Ozone: It is a scalable, redundant, and distributed object store for Hadoop.
Ozone是Hadoop的可扩展、冗余和分布式对象存储。

Cloud-based object stores are too slow to keep up with the I/O demands of machine learning;
基于云的对象存储速度太慢，跟不上机器学习的I／O需求；.

Objects must be stored in a container, so you must have at least one container to use the Object store.
对象必须存储在容器中，所以您必须至少拥有一个容器来使用对象存储。

For example, an object store is a good target for storing large volumes of inactive AI data.
例如，对象存储是存储大量不活跃的AI数据的良好目标。

Hadoop Ozone and Hadoop Submarine: Newer technologies that offer users an object store and a machine learning engine.
HadoopOzone和HadoopSubmarine：为用户提供对象存储和机器学习引擎的新技术。

Object stores, as we have discussed, offer low-cost, long-term storage with capacity that is effectively unlimited.
正如人们所讨论的问题，对象存储提供低成本的长期存储，其容量实际上是无限的。

One word of warning, though, when looking at object stores: data volumes can increase significantly, for two main reasons.
在查看对象存储时，有一个警告：由于两个主要原因，数据量可能会显著增加。

Object stores are good at parallel read I/O processing because there are no object locking or attributes to manage.
对象存储擅长并行读取I／O处理，因为不需要管理对象锁或属性。

Relational database, graph databases, time-series databases, HDFS, and object stores all have their respective strengths and weakness.
关系数据库、图形数据库、时间序列数据库、HDF和对象存储都有各自的优缺点。

Finally, object stores- such as Swift, the OpenStack Object Storage, and Amazon S3- can now be used as primary storage.
最后，对象存储-如雨燕，在OpenStack对象存储和亚马逊S3-现在可以用来作为主存储。

Ceph includes monitors that implement management of the cluster map, but some elements of fault management are implemented in the object store itself.
Ceph包含实施集群映射管理的监视器，但是故障管理的一些要素是在对象存储本身中执行的。

Ceph describes itself as a"distributed object store and file system designed to provide excellent performance, reliability and scalability.".
Ceph将自己描述为“分布式对象存储和旨在提供高性能、高可靠性和扩展性的文件系统”。

Using a simple connector library, Hadoop can now run directly against Google Cloud Storage- an object store built on Colossus.
今天的发行版本提供了准确的――使用了一个简单的连接器库，Hadoop现在可以直接地在GoogleCloudStorage运行――一个对象存储创建在Colossus上。

As most large-scale object stores are too large to regularly back up, reliable erasure coding becomes an essential feature of AI storage platforms.
由于多数大规模对象存储都太大，无法定期备份，因此可靠的擦除编码成为AI存储平台的一个基本特性。

The Sun Cloud Storage Service supports WebDAV protocols for easy file access and object store APIs that are compatible with Amazon's S3 APIs.
Sun的云存储服务支持WebDAV协议，可非常容易地实现对兼容于AmazonS3API的文件访问及对象存储。

This object store is accessible via a RESTful interface and supports both OpenStack Swift and the Amazon Simple Storage Service(S3).
这个对象存储可以通过RESTful接口访问，支持OpenStackSwift和AmazonSimpleStorageService(S3)。

Each record in an index can point to only one record in its referenced object store, but several indexes can reference the same object store.
索引中的每一条记录只能指向引用对象仓库中的一条记录，但多个索引可以引用同一个对象仓库。

You have distributed storage in HDFS, a distributed compute model in the Job Tracker and Task Trackers, and a distributed persistent object store in HBase.
你在HDFS中的分布式存储，在JobTracker和TaskTrackers中的分布式计算模型，以及在HBase中的分布式持久对象存储。

Haystack is Facebook's high-performance photo storage/retrieval system(strictly speaking, Haystack is an object store, so it doesn't necessarily have to store photos).
HaystackHaystack是Facebook的高性能照片存储/检索系统（严格来说，是一个对象存储，因此它并不一定要存储照片）。

These objects store necessary data regardless of your browser and do not have an automatic expiration date.
这些对象存储所需的数据，而不考虑您的浏览器，并且没有自动过期日期。

We have over 4 trillion objects stored, an average of 270,000 requests processed per second, and a peak of 880,000 requests per second.
我们有超过40亿个存储对象，平均每秒270,000个请求，峰值每秒880,000个请求。