hive怎么保存blob

My_608 2013-04-22 03:32:04

怎么将oracle中的blob字段导入到hive表中

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yfk 2013-04-24

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另外，sqoop支持blob，但direct模式不支持使用blob

yfk 2013-04-24

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hive不支持BLOB格式可以采用如下方法： https://issues.apache.org/jira/browse/HIVE-637

撸大湿 2013-04-22

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引用楼主 c_s_d_n_csy 的回复:

怎么将oracle中的blob字段导入到hive表中 Hive sqoop

两种办法 1、从oracle导出时，把BLOB转成STRING保存 2、在HADOOP端实现oracle BLOB的解析方法，HIVE访问时，用UDF函数动态处理这些数据。第一个办法更简单。

今天更新hive版本的时候,把关联的数据库删掉了，重新生成，之后出现MetaException(message:An exception was thrown while adding/validating class(es) : Column length too big for column 'PARAM_VALUE' (max = 21845); use BLOB or TEXT instead

DBeaver [1] 是一个通用的数据库管理工具和 SQL 客户端，支持 MySQL, PostgreSQL, Oracle, DB2, MSSQL, Sybase, Mimer, HSQLDB, Derby, 以及其他兼容 JDBC 的数据库。DBeaver 提供一个图形界面用来查看数据库结构、执行SQL查询和脚本，浏览和导出数据，处理BLOB/CLOB 数据，修改数据库结构等等。

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By the time you're finished, you'll be comfortable going beyond the book to create any HDInsight app you can imagine! Table of Contents Part I: Understanding Big Data, Hadoop 1.0, and 2.0 Hour 1. Introduction of Big Data, NoSQL, and Business Value Proposition Hour 2. Introduction to Hadoop, Its Architecture, Ecosystem, and Microsoft Offerings Hour 3. Hadoop Distributed File System Versions 1.0 and 2.0 Hour 4. The MapReduce Job Framework and Job Execution Pipeline Hour 5. MapReduce—Advanced Concepts and YARN Part II: Getting Started with HDInsight and Understanding Its Different Components Hour 6. Getting Started with HDInsight, Provisioning Your HDInsight Service Cluster, and Automating HDInsight Cluster Provisioning Hour 7. Exploring Typical Components of HDFS Cluster Hour 8. Storing Data in Microsoft Azure Storage Blob Hour 9. Working with Microsoft Azure HDInsight Emulator Part III: Programming MapReduce and HDInsight Script Action Hour 10. Programming MapReduce Jobs Hour 11. 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基于安全问题，已计划此REPO SEC故障单＃SEC-2988 StreamX：Kafka Connect for S3 从很棒的 StreamX是基于kafka连接的连接器，用于将数据从Kafka复制到对象存储，例如Amazon s3，Google Cloud Storage和Azure Blob存储。它专注于可靠和可扩展的数据复制。它可以以不同的格式（如镶木地板）写出数据，以便分析工具可以轻松使用它，也可以满足不同的分区要求。＃＃产品特点： StreamX从kafka-connect-hdfs继承了丰富的功能集。支持以Avro和Parquet格式写入数据。提供Hive集成，其中连接器创建分区的Hive表，并在向S3写入新分区后定期添加分区可插分区器：默认分区程序：每个Kafka分区将其数据复制到特定于分区的目录下基于时间的分区器：能够按小时写入数据基于字段的分区程序：能够将记录中的字段用作自定义分区程序除了这些，我们还对以下内容进行了更改，以使其能够与s3一起有效地工作使用WAL一次保证支持将Hive表存储在Qubole的Hive Metast

Turkcell 大数据黑客马拉松问题第 1 部分问题 1 使用 mapreduce 查找给定数据的平均通话时间。编程语言将是独立的。（它可以是 Java、Python、Perl……只要你使用 MapReduce。）不应使用 Hive 或 Pig。您的输出格式应与 output_sample_a1.txt 相同。数据：示例： wasb://samplecalldatacontainer@tbigdatahackathonstorage.blob.core.windows.net/ 完整：wasb://calldatacontainer@tbigdatahackathonstorage.blob.core.windows.net/ START_TIME|END_TIME|CALLED_NO|CALLING_NO|TERMINATION_CAUSE_ID|CONVE

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