1. Sqoop 1.1 Introduction to Sqoop Sqoop is a tool for batch data migration between structured data and Hadoop Structured data can be relational databases such as MySQL and Oracle. Import data from relational databases into Hadoop and its related systems Extract and export data from Hadoop systems to relational databases The bottom layer uses […]
Tag: sqoop
Import and export of sqoop (detailed steps)
Directory 1. The import of sqoop (import from MySQL to hadoop) is used 1) Prepare MySQL data: 2) Start hadoop cluster: 1. Import data from mysql to hdfs 1) sqoop command 2) Start the sqoop command 2. Import data from mysql to hive 1) start hive 2) sqoop command 3) View data in hive 4) […]
Sqoop application_import Hive
4.5 Full import of hive tables 4.5.1 Import text table # import command sqoop import \ –connect jdbc:mysql://nn1:3306/sqoop_db”?useUnicode=true &characterEncoding=UTF-8″ \ –username root \ –password 12345678\ –table goods_table \ –num-mappers 1 \ –delete-target-dir \ –hive-import \ –fields-terminated-by “\001” \ –hive-overwrite \ –hive-table hainiu.goods_table The above process is divided into two steps: 1) The first step is […]
[Big data Hive’s peripheral tool Sqoop application integration]
Directory Preface: Hive’s peripheral tool introduction and detailed information on its application scenarios: Server command realizes Sqoop integration Hive, Mysql realizes data export Integrated Hive Integrate MySQL Java Springboot framework integrates Sqoop, Hive, Mysql to realize import/export of hive POM dependencies: Add the following configuration to the application.properties file: Code: Command meaning interpretation: Controller implementation […]
[Big data Sqoop, hive, HDFS data operation]
Directory Preface: Sqoop integrated Hive, HDFS realizes data export rely: Configuration file: Code: Controller calls: Linux command import and export: Use Sqoop to import data into Hive tables. For example: Use Sqoop to export data from Hive table to MySQL. For example: Use Sqoop to import data into HDFS. For example: Use Sqoop to export […]
Big data environment construction Hadoop+Hive+Flume+Sqoop
Table of Contents zero: release notes 1. Install CentOS Two, Hadoop stand-alone configuration 3. Hive installation and deployment 4. Install and deploy Flume and Nginx Five, Sqoop installation Zero: Release notes Hadoop: 3.1.0 CentOS: 7.6 JDK: 1.8 1. Install CentOS There are a lot of online tutorials here, so I won’t post pictures [The memory […]
Full disclosure! Sqoop command execution for the perfect landing of big data from 0 to 1
Sqoop command execution Common command execution parameters Import and export can be performed by adding different parameters through Sqoop, and common command lines can be viewed through sqoop help #Common Sqoop parameters [root@qianfeng01 sqoop-1.4.7] sqoop help codegen Generate code to interact with database records create-hive-table Import a table definition into Hive eval Evaluate a SQL […]
Full disclosure! Sqoop Import Actual Combat of Perfect Landing of Big Data from 0 to 1
Sqoop import practice Sqoop-import Case 1 The table does not have a primary key, and the number of map tasks needs to be specified as 1 to execute Sqoop import principle: ? Sqoop imports data from database sources in parallel by default. You can use the -m or –num-mappers parameter to specify the number of […]
Sqoop of big data technology
Chapter 1 Introduction to Sqoop Sqoop is an open source tool, mainly used for data transfer between Hadoop (Hive) and traditional databases (mysql, postgresql…), which can transfer data from a relational database (such as MySQL, Oracle, Postgres, etc.) The data is imported into Hadoop’s HDFS, and HDFS data can also be imported into a relational […]
Big Data | (5) Import data from MySQL to HDFS through Sqoop
Knowledge Catalog I. Introduction 2. Preparation before import 2.1 Hadoop cluster construction 2.2 Hadoop start and stop script 3. Docker installs MySQL 4. Install Sqoop 4.1 Sqoop preparation 4.2 Sqoop connection Mysql data test 5. Import MySQL data to hdfs 5.1 Prepare MySQL data 5.2 Import data 6. Status of Sqoop 7. Conclusion 1. Foreword […]