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#Get a copy of sample flume conf from common data hadoop fs -copyToLocal /data/flume/conf # Change the port if needed and location in HDFS nano conf/flume.properties #Launch the flume agent flume-ng agent --conf conf --conf-file conf/flume.properties --name a1 Dflume.root.logger=INFO,console # Open a new console and Connect to the same port that you defined in config nc localhost 44443 # Generate some data Type something in the console #Open a new console and Check in hdfs using hadoop fs -ls flume_webdata hadoop fs -cat 'flume_webdata/FlumeData*'
#Get the detail of mysql server using "My Lab" tab # Check the mysql: Connect mysql -u sqoopuser -p -h ip-172-31-13-154 sqoopex #Check the mysql: Explore The table in mysql using select * from widgets; # Import - It might ask for password. Keep the password sqoop import --connect jdbc:mysql://172.31.13.154/sqoopex --table widgets -m 2 --hive-import --username sqoopuser -P --hive-database sqoop_testing #Start hive Client using "hive" command, On hive prompt use sqoop_testing; select * from widgets;
# In Hue, Get the location of mysql Jar /user/oozie/share/lib/sqoop/mysql-connector-java.jar # Go to Workflows -> Editors # Click on Create Button on right site #Drag and drop sqoop1 # Set the password in following command and copy paste # Also, change the HDFS absolute location import --connect jdbc:mysql://ip-172-31-13-154:3306/sqoopex --username sqoopuser --password--table widgets --target-dir hdfs:///user/sandeepgiri9034/widgets_import # Add the files of mysql connector # Save and Submit # Open File Browser check if the files are created.
# Terminal 1 nc -lk 9999 # Terminal 2 #copy code from the following URL https://github.com/cloudxlab/bigdata/blob/master/spark/examples/streaming/word_count/word_count.scala #Also, try to understand the code and correct the port #Launch and paste copied code spark-shell # Go to Terminal 1 # type something # See on Terminal 2 # Is something being printed?? Word counts should be printed.
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