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What is HCatalog used for?

Posted on August 21, 2022 by David Darling

Table of Contents

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  • What is HCatalog used for?
  • What is JSON SerDe in Hive?
  • What kind of data does HCatalog hold?
  • Which Hadoop component can be used for ETL?
  • Who developed Pig?
  • Is a HCatalog REST API?
  • Is Apache Pig still used?
  • What is Serialisation in Hive?
  • What technologies do we use to process JSON data?
  • How to deserialize JSON data in Athena?

What is HCatalog used for?

HCatalog is a table storage management tool for Hadoop that exposes the tabular data of Hive metastore to other Hadoop applications. It enables users with different data processing tools (Pig, MapReduce) to easily write data onto a grid.

What is JSON SerDe in Hive?

The Hive JSON SerDe is commonly used to process JSON data like events. These events are represented as single-line strings of JSON-encoded text separated by a new line. The Hive JSON SerDe does not allow duplicate keys in map or struct key names.

What is Apache HCatalog?

HCatalog is a tool that allows you to access Hive metastore tables within Pig, Spark SQL, and/or custom MapReduce applications. HCatalog has a REST interface and command line client that allows you to create tables or do other operations.

What are SerDe properties in Hive?

SerDe Overview A SerDe allows Hive to read in data from a table, and write it back out to HDFS in any custom format. Anyone can write their own SerDe for their own data formats.

What kind of data does HCatalog hold?

By default, HCatalog supports RCFile, CSV, JSON, SequenceFile, and ORC file formats.

Which Hadoop component can be used for ETL?

Hive is a powerful tool for ETL, data warehousing for Hadoop, and a database for Hadoop.

What is Jsonserde?

A Serde that provides serialization and deserialization in JSON format. The implementation delegates to underlying JsonSerializer and JsonDeserializer implementations.

Which is the default Serde in Hive?

user (uid int,name string); this ddl statement without any format and delimiters then hive creates user table with default serde (serialize,deserializer ). This serde instructs hive on how to process a record (Row) and serde library is inbuilt to Hadoop API.

Who developed Pig?

Apache Software Foundation
Apache Pig

Developer(s) Apache Software Foundation, Yahoo Research
Stable release 0.17.0 / June 19, 2017
Repository svn.apache.org/repos/asf/pig/
Operating system Microsoft Windows, OS X, Linux
Type Data analytics

Is a HCatalog REST API?

This document describes HCatalog REST API. As shown in the figure below, developers make HTTP requests to access Hadoop MapReduce, Pig, Hive, and HCatalog DDL from within applications. Data and code used by this API is maintained in HDFS. HCatalog DDL commands are executed directly when requested.

How ETL is done in Hadoop?

Five Steps to Running ETL on Hadoop for Web Companies

  1. An ETL Example. Consider the classic example of key transformation.
  2. Why Hadoop? All right.
  3. ETL Process in Hadoop.
  4. Set Up a Hadoop Cluster.
  5. Connect Data Sources.
  6. Define the Metadata.
  7. Create the ETL Jobs.
  8. Create the Workflow.

What is Pig code?

The Code of Practice for the Care and Handling of Pigs was released in 2014. In March 2019 a Code Technical Panel was established to undertake the pig Code’s 5 year review. The Code Technical Panel (CTP) also needed to address a requirement in Section 1.1.

Is Apache Pig still used?

Yes, it is used by our data science and data engineering orgs. It is being used to build big data workflows (pipelines) for ETL and analytics. It provides easy and better alternatives to writing Java map-reduce code.

What is Serialisation in Hive?

Serialization — Process of converting an object in memory into bytes that can be stored in a file or transmitted over a network. Deserialization — Process of converting the bytes back into an object in memory. Java understands objects and hence object is a deserialized state of data.

What is OutputFormat class?

OutputFormat describes the output-specification for a Map-Reduce job. The Map-Reduce framework relies on the OutputFormat of the job to: Validate the output-specification of the job. For e.g. check that the output directory doesn’t already exist.

What is JSON serde in hive?

The Hive JSON SerDe is commonly used to process JSON data like events. These events are represented as blocks of JSON-encoded text separated by a new line. The Hive JSON SerDe does not allow duplicate keys in map or struct key names.

What technologies do we use to process JSON data?

We and selected third-parties use cookies or similar technologies as specified in the AWS Cookie Notice. The Hive JSON SerDe is commonly used to process JSON data like events. These events are represented as single-line strings of JSON-encoded text separated by a new line.

How to deserialize JSON data in Athena?

In Athena, you can use two SerDe libraries to deserialize JSON data. Deserialization converts the JSON data so that it can be serialized (written out) into a different format like Parquet or ORC.

How do I use the mapping parameter in OpenX JSON serde?

The mapping parameter is useful when the JSON data contains keys that are keywords . For example, if you have a JSON key named timestamp, use the following syntax to map the key to a column named ts : Like the Hive JSON SerDe, the OpenX JSON SerDe does not allow duplicate keys in map or struct key names.

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