20 lines
1.2 KiB
Markdown
20 lines
1.2 KiB
Markdown
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---
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title: Hive
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updated: 2022-05-24 18:43:47Z
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created: 2022-05-24 18:35:26Z
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---
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The Apache Hive ™ data warehouse software facilitates reading, writing, and managing large datasets residing in distributed storage using SQL. Structure can be projected onto data already in storage. A command line tool and JDBC driver are provided to connect users to Hive.
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Built on top of Apache Hadoop™, Hive provides the following features:
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- Tools to enable easy access to data via SQL, thus enabling data warehousing tasks such as extract/transform/load (ETL), reporting, and data analysis.
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- A mechanism to impose structure on a variety of data formats
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- Access to files stored either directly in **Apache HDFS™** or in other data storage systems such as **Apache HBase™**
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- Query execution via **Apache Tez™, Apache Spark™**, or **MapReduce**
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- Procedural language with HPL-SQL
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- Sub-second query retrieval via Hive LLAP, Apache YARN and Apache Slider.
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Hive's SQL can also be extended with user code via user defined functions (**UDF**s), user defined aggregates (UDAFs), and user defined table functions (UDTFs).
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Hive is not designed for online transaction processing (OLTP) workloads. It is best used for traditional data warehousing tasks.
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