lirui-apache commented on a change in pull request #11391: [FLINK-16098] [chinese-translation, Documentation] Translate "Overview" page of "Hive Integration" into Chinese URL: https://github.com/apache/flink/pull/11391#discussion_r394759888
########## File path: docs/dev/table/hive/index.zh.md ########## @@ -24,25 +24,25 @@ specific language governing permissions and limitations under the License. --> -[Apache Hive](https://hive.apache.org/) has established itself as a focal point of the data warehousing ecosystem. -It serves as not only a SQL engine for big data analytics and ETL, but also a data management platform, where data is discovered, defined, and evolved. +[Apache Hive](https://hive.apache.org/) 已经成为了数据仓库生态系统中的核心。 +它不仅仅是一个用于大数据分析和ETL场景的SQL引擎，同样它也是一个数据管理平台，可用于发现，定义，和演化数据。 -Flink offers a two-fold integration with Hive. +Flink提供了两种和Hive集成的方式。 -The first is to leverage Hive's Metastore as a persistent catalog with Flink's `HiveCatalog` for storing Flink specific metadata across sessions. -For example, users can store their Kafka or ElasticSearch tables in Hive Metastore by using `HiveCatalog`, and reuse them later on in SQL queries. +第一种方式是利用了Hive的MetaStore作为持久化的目录，和Flink在`HiveCatalog`存储的特定元数据进行跨系统会话。 +例如，用户可以使用`HiveCatalog`将其Kafka信息或ElasticSearch表存储在Hive Metastore中，并后续在SQL查询中重新使用它们。 Review comment: ```suggestion 例如，用户可以使用`HiveCatalog`将其Kafka表或ElasticSearch表存储在Hive Metastore中，并后续在SQL查询中重新使用它们。 ``` ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services
