Hive数据处理-阿里云

DataX读取Hive Orc格式表丢失数据处理记录

问题问题概述 DataX读取Hive Orc存储格式表数据丢失问题详细描述同步Hive表将数据发送到Kafka，Hive表A数据总量如下 SQL：select count(1) from A; 数量：19397281 使用DataX将表A数据发送到Kafka，最终打印读取数据量为1264945...

大数据Hive JSON数据处理

1 应用场景JSON数据格式是数据存储及数据处理中最常见的结构化数据格式之一，很多场景下公司都会将数据以JSON格式存储在HDFS中，当构建数据仓库时，需要对JSON格式的数据进行处理和分析，那么就需要在Hive中对JSON格式的数据进行解析读取。例如，当前我们JSON格式的数据如下：每条数据都以J...

大数据Hive教程精讲

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针对 Flink 流式写 Hive 过程中的乱序数据处理可以采取哪两种手段？

[帮助文档] 从Oracle抽数据到Hive,Date类型数据处理出现脏数据

问题描述Dataphin集成任务从Oracle 抽数据到 Hive，过滤组件中对Date类型数据处理出现脏数据。{     "category":"filter",     "distribute":true,     "name":"WH...

hadoop和Hive的数据处理流程

需求场景:统计每日用户登陆总数每分钟的原始日志内容如下: http://www.blue.com/uid=xxxxxx&ip=xxxxxx 假设只有两个字段,uid和ip,其中uid是用户的uid，是用户的唯一标识，ip是用户的登陆ip，每日的记录行数是10亿，要统计出一天用户登陆的总数...

使用Hive进行OSS数据处理的一个最佳实践

本文主要介绍如何使用Hive来处理保存在OSS上的数据源，并通过E-MapReduce计算，最终的结果保存在OSS上，并能够每天自动的进行Hive的分区数据的调度处理条件：数据源：我们假设在OSS上我们的数据是按照一定的目录格式来保存的，比如时间，按照类似2016/06/01这样的年/月/日的方...

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更新时间 2024-02-21 15:50:00

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开源大数据平台 E-MapReduce

开源大数据平台 E-MapReduce（简称“EMR”）是云原生开源大数据平台，向客户提供简单易集成的Hadoop、Hive、Spark、Flink、Presto、ClickHouse、StarRocks、Delta、Hudi等开源大数据计算和存储引擎服务。

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EMR实时计算实践