Practical unix utilities for text processing

Oct 2, 2010Download as pptx, pdf

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This document provides examples of common Linux utilities used for text processing and manipulation. It lists utilities like grep, sed, awk, cut, sort, uniq and provides usage examples for searching for strings, printing/deleting lines, making substitutions, counting words, splitting files and more. The takeaway is to use the man command or info coreutils to learn more about these powerful utilities.

grep | sed | awk | xargs | etcPractical *nix utilities(for text processing)

/awkcatgreptacsedecholsdutestmvsplittaildirjoinwcheadvimtrsortsumcutexpruniqpastekilltee

pwd | ls | find | teeGNU Coreutilshttp://www.gnu.org/software/coreutils/The takeaway command:man> info coreutils

pwd | ls | find | teeList of files:ls –lls–1ls –latrfind . –name *.txt

pwd | ls | find | teeSeek for a string in a file:grep“cat” file.txtgrep –v “dog” file.txtgrep –i “PaTtErN” file.txtegrep“cat|dog” file.txtzgrep“cat” file.txt.gz

for / xargsDo something with each file:for file in `find . –name *tmp` dorm$file donefind . –name *tmp| xargsrm

$pwd | ls | find | teefind + grepfind . -name '*txt' -exec grep-l aaa{} \;find . -name '*txt' | xargsgrep-l aaa$

pwd | ls | find | teecatgreptacecholsdutestmvsplittaildirjoinwcheadtrsortsumcutexpruniqpastekilltee

$sedsfor substitutionsed‘s/cat/dog/’ # cat -> dogsed ‘s/$a$$b$/\2\1/’# ab-> ba$

sedpfor printingsed –n ‘/dog/p’ # print lines that match ‘dog’sed–n ‘/start/,/end/p’# print range

seddto deletesed ‘/dog/d’# delete lines that match ‘dog’sed ‘1,/pattern/d’# delete range

sed| and –e for invocationsed ‘s/a/A/’ | sed ‘s/b/B/’#sed –e ‘s/a/A/’ –e ‘s/b/B/’ #

sed{ .. } to group the commandssed ‘/pattern/ { s/p/P/ s/e/E/ }’#pattern -> PattErn

sedrto read a filesed ‘/include/ r file.txt’# insert file.txt after includewto write to a filesed‘/pattern/ w file.txt’# write matched lines to a file

awkaaabbb cccaaabbbzzzawk '/zzz/' 1.txt grepzzz 1.txtaaabbbzzz

awkawk'BEGIN{<initializations>}<pattern 1> {<actions>}<pattern 2> {<actions>}... END{<final actions>}'

$awkawk'BEGIN{a=0, b=0} /aaa/{a++} /bbb/ {b++}END{printf “%d\t%d”,a,b}'$

$awkawk'{arr[$2]+=$1} END { for (id in arr) printf "%s\t%d\t\n",id,arr[id]}'$

The document discusses several common Unix command line utilities for text processing and file searching: - find - Searches for files and directories based on various criteria like name, type, size, and modification time. Results can be piped to xargs to perform actions. - grep - Searches files for text patterns. Has options for case-insensitive, recursive, and whole word searches. - sed - Stream editor for modifying text, especially useful for find-and-replace. Can capture groups and perform transformations.

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- TeamCity allows building software projects and managing build pipelines for continuous integration and delivery (CI/CD) - A build pipeline in TeamCity refers to the sequence of build steps such as compiling code, running tests, and deploying artifacts that are automatically triggered by code changes - The document demonstrates how to define a build pipeline in TeamCity using Kotlin DSL that compiles and packages a Java application project and its dependency library project

Build pipelines with TeamCityAnton Arhipov

A build pipeline refers to the automated process of building software by breaking it down into discrete steps. This document discusses how TeamCity, a build management and continuous integration tool, can be used to create build pipelines. It provides an example pipeline with steps for checking out sources, compiling code, running tests at different stages, generating reports, and publishing results. The benefits of a pipeline include running different test types in parallel and tracking dependencies between steps to speed up the overall build process.

JavaDay Kiev 2017 - Integration testing with TestContainersAnton Arhipov

This document introduces TestContainers, an open source Java library that supports integration testing for applications that depend on external resources like databases. It allows tests to use real Docker containers to manage these dependent services. Tests run quickly and are portable across environments because the containers are started and stopped for each test. The document provides examples of using TestContainers with Spring Boot tests to launch containers for PostgreSQL and Redis, and to configure a MockServer container to handle external API dependencies. It suggests TestContainers is useful for testing microservices and Java agents that depend on external services or APIs.

GeeCON Prague 2017 - TestContainersAnton Arhipov

The document discusses the importance of integration testing and introduces Testcontainers as a solution for creating reproducible testing environments using Docker. It presents examples of integrating Testcontainers with Java applications, particularly with Spring Boot, and illustrates how to set up containers for databases like Redis and PostgreSQL. Additionally, it covers the use of MockServer for handling external dependencies in tests.

JavaOne 2017 - The hitchhiker’s guide to Java class reloadingAnton Arhipov

This document discusses different techniques for reloading Java classes at runtime: - HotSwap allows reloading individual statements but is limited. Class loaders allow reloading entire classes but each class loader isolates its classes. - More advanced techniques like Java agents and bytecode instrumentation allow redefining classes in-place and reloading methods, fields, and class hierarchies in a binary-compatible way. - Demonstrations show reloading an entire "region" of related classes like a service class and its dependencies, allowing a live application thread to see the changes immediately without restarts. Java agents in particular provide a powerful but complex way to implement class reloading.

JavaOne 2017 - TestContainers: integration testing without the hassleAnton Arhipov

This document introduces TestContainers, an open source tool for running Docker containers as part of integration tests. It discusses why integration testing is important for reproducibility, isolation, and realism. TestContainers allows setting up Docker containers programmatically and automatically cleaning them up after tests complete. It supports starting individual containers, Docker Compose environments, and custom container types. Examples are given for testing services that depend on databases, caches, and external APIs using TestContainers without complex test environment configuration. The document also describes how to use TestContainers to test Java agents by modifying bytecode at runtime within a container during tests.

JavaOne 2017 - The hitchhiker’s guide to Java class reloadingAnton Arhipov

JavaZone 2017 - The Hitchhiker’s guide to Java class reloadingAnton Arhipov

This document discusses techniques for reloading Java classes at runtime, including using class loaders to load updated classes, Java agents to instrument classes, and frameworks like HotSwap that utilize these techniques. It provides examples of how class loaders can be used to reload specific parts of an application while a program is running. The goal is to achieve hot reloading that is binary compatible and allows updating code without restarting the Java virtual machine.

JUG.ua 20170225 - Java bytecode instrumentationAnton Arhipov

Riga DevDays 2017 - The hitchhiker’s guide to Java class reloadingAnton Arhipov

This document discusses techniques for reloading Java classes at runtime, known as hot reloading or hot swapping. It begins with an introduction and overview of class loaders, Java agents, and instrumentation which can be used to dynamically modify classes. Specific techniques are then presented for reloading classes, fields, methods and code using custom class loaders and bytecode manipulation. The goal is to allow reloading parts of an application without restarting the Java Virtual Machine.

GeeCON 2017 - TestContainers. Integration testing without the hassleAnton Arhipov

The document discusses how to use Testcontainers for integration testing in a Java environment, emphasizing the need for a reproducible and isolated environment for effective testing. It provides examples of setting up containers for various databases and services, and demonstrates using Docker with Spring Boot to facilitate testing of microservices. The document also touches on the use of Java agents for testing different versions and manipulating application behavior at runtime.

JEEConf 2017 - The hitchhiker’s guide to Java class reloadingAnton Arhipov

The document discusses advanced techniques for class reloading in Java, focusing on hotswap, dynamic code evolution, and safe class evolution in long-lived applications. It references various studies and technical reports that delve into the challenges and methodologies associated with real-time code changes and dynamic class loaders. Additionally, it highlights practical examples and dependencies, such as the Spring Boot DevTools and Java agents for modifying class behavior at runtime.

JEEConf 2017 - Having fun with JavassistAnton Arhipov