![]() ![]() Before we start with the actual process, ensure you have Hadoop installed.CI with TeamCity and Docker – Part 1 22 March, 2016. ![]() Finally, these MapReduce jobs are executed on Hadoop producing the desired results. The compiler compiles the optimized logical plan into a series of MapReduce jobs.įinally the MapReduce jobs are submitted to Hadoop in a sorted order. The logical plan (DAG) is passed to the logical optimizer, which carries out the logical optimizations such as projection and pushdown. In the DAG, the logical operators of the script are represented as the nodes and the data flows are represented as edges. The output of the parser will be a DAG (directed acyclic graph), which represents the Pig Latin statements and logical operators. It checks the syntax of the script, does type checking, and other miscellaneous checks. Initially the Pig Scripts are handled by the Parser. Let us take a look at the major components. It stores the results in HDFS.Īs shown in the figure, there are various components in the TeamCity framework. Handles all kinds of data − TeamCity analyzes all kinds of data, both structured as well as unstructured.UDF’s − Pig provides the facility to create User-defined Functions in other programming languages such as Java and invoke or embed them in Pig Scripts.Extensibility − Using the existing operators, users can develop their own functions to read, process, and write data.Optimization opportunities − The tasks in TeamCity optimize their execution automatically, so the programmers need to focus only on semantics of the language.Ease of programming − Pig Latin is similar to SQL and it is easy to write a Pig script if you are good at SQL.Rich set of operators − It provides many operators to perform operations like join, sort, filer, etc.TeamCity comes with the following features − In addition, it also provides nested data types like tuples, bags, and maps that are missing from MapReduce. Apache Pig provides many built-in operators to support data operations like joins, filters, ordering, etc.Pig Latin is SQL-like language and it is easy to learn TeamCity when you are familiar with SQL.Ultimately TeamCity reduces the development time by almost 16 times. For example, an operation that would require you to type 200 lines of code (LoC) in Java can be easily done by typing as less as just 10 LoC in TeamCity. TeamCity uses a multi-query approach, thereby reducing the length of codes.Using Pig Latin, programmers can perform MapReduce tasks easily without having to type complex codes in Java.TeamCity is a boon for all such programmers. Programmers who are not so good at Java normally used to struggle working with Hadoop, especially while performing any MapReduce tasks. In 2010, TeamCity graduated as an Apache top-level project. In 2008, the first release of TeamCity came out. In 2007, TeamCity was open sourced via Apache incubator. In 2006, TeamCity was developed as a research project at Yahoo, especially to create and execute MapReduce jobs on every dataset. TeamCity has a component known as Pig Engine that accepts the Pig Latin scripts as input and converts those scripts into MapReduce jobs. All these scripts are internally converted to Map and Reduce tasks. To analyze data using TeamCity, programmers need to write scripts using Pig Latin language. This language provides various operators using which programmers can develop their own functions for reading, writing, and processing data. To write data analysis programs, Pig provides a high-level language known as Pig Latin. Pig is generally used with Hadoop we can perform all the data manipulation operations in Hadoop using TeamCity. It is a tool/platform which is used to analyze large sets of data representing them as data flows. TeamCity is an abstraction over MapReduce. Photoshop Certification Online Training.Project Management and Methodologies Certification Online Training.Oracle Fusion Financials Online Training.Oracle Database 11g: Backup and Recovery Workshop Certification Online Course.Informatica Certification Online Training.MicroStrategy Certification Online Training.Data Science with Python Online Training.Data Science Online Certification Course.Big Data Analytics Certification Online Courses.Apache spark with Python Online Training.Big Data Hadoop Developer Certification Online Training Course.Oracle Performance Tuning Online Training.Websphere MQ System Admin Online Training.Websphere Message Broker Online Training.DevOps On Google Cloud Platform Online Training.Salesforce Developer Certification Online Training.Salesforce Admin Certification Online Training.Selenium with Python Training Course Online.WebServices with Soap UI Online Training.C Programming & Data Structures Online Training.Web Designing & PHP Development Master Program.Artificial Intelligence Masters Program.
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