By Edward Capriolo, Dean Wampler
Need to maneuver a relational database program to Hadoop? This entire advisor introduces you to Apache Hive, Hadoop’s info warehouse infrastructure. You’ll quick how to use Hive’s SQL dialect—HiveQL—to summarize, question, and research huge datasets kept in Hadoop’s disbursed filesystem.
This example-driven consultant indicates you ways to establish and configure Hive on your surroundings, presents an in depth evaluation of Hadoop and MapReduce, and demonstrates how Hive works in the Hadoop environment. You’ll additionally locate real-world case experiences that describe how businesses have used Hive to resolve detailed difficulties regarding petabytes of data.
- Use Hive to create, regulate, and drop databases, tables, perspectives, capabilities, and indexes
- Customize info codecs and garage ideas, from documents to exterior databases
- Load and extract facts from tables—and use queries, grouping, filtering, becoming a member of, and different traditional question methods
- Gain most sensible practices for developing person outlined capabilities (UDFs)
- Learn Hive styles you can use and anti-patterns you might want to avoid
- Integrate Hive with different information processing programs
- Use garage handlers for NoSQL databases and different datastores
- Learn the professionals and cons of working Hive on Amazon’s Elastic MapReduce
Preview of Programming Hive PDF
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Extra resources for Programming Hive
Additionally, the characteristic is comparatively new, so it doesn’t have loads of strategies but. in spite of the fact that, the indexing strategy is designed to be customizable with plug-in Java code, so groups can expand the function to satisfy their wishes. Indexing is additionally a great replacement to partitioning whilst the logical walls would really be too a number of and small to be worthy. Indexing can reduction in pruning a few blocks from a desk as enter for a MapReduce activity. now not all queries can reap the benefits of an index — the clarify syntax and Hive can be utilized to figure out if a given question is aided by way of an index. Indexes in Hive, like these in relational databases, have to be evaluated rigorously. retaining an index calls for additional disk area and development an index has a processing fee. The person needs to weigh those expenditures opposed to the advantages they provide whilst querying a desk. developing an Index Let’s create an index for our controlled, partitioned staff desk we defined in Partitioned, controlled Tables. here's the desk definition we used formerly, for reference: CREATE desk staff ( identify STRING, wage flow, subordinates ARRAY