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Basic Kudu Installation, API Usage, and SQL Integration - Working Files/Working Files - README.txt

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Due to ongoing efforts to ensure you have the best possible learning experience, we may update the working files for this course from time to time.



We recommend that you download the latest version of these files from:



http://www.infiniteskills.com/02465
 
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Basic Kudu Installation, API Usage, and SQL Integration - Working Files/api-sql-basics/2_create_table_and_insert_data.sh

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#!/usr/bin/env bash

set -x

set -e

#######

#

# Before getting started, you'll need to download the dataset from https://github.com/bosshart/kuduscreencast/raw/master/api-sql-basics/user_ratings.txt

# scp the zip file to /home/demo/ directory on kudu quickstart VM

# Or download: wget https://raw.githubusercontent.com/bosshart/kuduscreencast/master/api-sql-basics/user_ratings.txt

#######



hadoop fs -ls /user/demo/

hadoop fs -mkdir -p /user/demo/moviedata/

hadoop fs -put /tmp/user_ratings.txt /user/demo/moviedata/

hadoop fs -ls /user/demo/moviedata/





impala-shell -i localhost -d default -q "CREATE EXTERNAL TABLE user_item_ratings(

	ts INT, 

	userid INT, 

	movieid INT, 

	rating INT, 

	age INT, 

	gender STRING, 

	occupation STRING, 

	zip INT, 

	movietitle STRING, 

	releasedate STRING, 

	videoreleasedate STRING, 

	url STRING) 

ROW FORMAT DELIMITED FIELDS TERMINATED BY '\001' STORED AS TEXTFILE LOCATION '/user/demo/moviedata/';"



#Let's test selecting some data from our impala table. We're going to look at some of the ratings for one of my favorite movies: 

impala-shell -i localhost -d default -q " SELECT movieid, userid, movietitle, rating FROM user_item_ratings WHERE movietitle='Tombstone (1993)' LIMIT 10;"





#Let's create our first impala on kudu table. 



impala-shell -i localhost -d default -q "DROP TABLE IF EXISTS kudu_user_ratings;"

impala-shell -i localhost -d default -q "DROP TABLE IF EXISTS kudu_user_ratings_as_select;"



impala-shell -i localhost -d default -q "CREATE TABLE kudu_user_ratings (

movieid INT,

userid INT,

rating INT,

age INT,

gender STRING,

occupation STRING,

zip INT,

movietitle STRING,

releasedate STRING,

videoreleasedate STRING,

url STRING,

ts INT,

PRIMARY KEY(movieid,userid)

)

PARTITION BY HASH(movieid)

PARTITIONS 4 STORED AS KUDU;"



# insert a single row

impala-shell -i localhost -d default -q "INSERT INTO kudu_user_ratings VALUES (1000000, 1000000, 4, 35, 'M', 'engineer', 55409, 'Tombstone (1993)', '01-Jan-1993', null, null, 892859148);"

# bulk load from HDFS into Kudu

impala-shell -i localhost -d default -q "INSERT INTO kudu_user_ratings SELECT movieid, userid, rating, age, gender, occupation, zip, movietitle, releasedate, videoreleasedate, url, ts FROM user_item_ratings;"



# same thing, all in one step

impala-shell -i localhost -d default -q "CREATE TABLE kudu_user_ratings_as_select PRIMARY KEY(movieid,userid)

PARTITION BY HASH(movieid)

PARTITIONS 4 STORED AS KUDU

AS SELECT movieid, userid, rating, age, gender, occupation, zip, movietitle, releasedate, videoreleasedate, url, ts  FROM user_item_ratings;"
 
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Basic Kudu Installation, API Usage, and SQL Integration - Working Files/api-sql-basics/3_query_data.sh

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#!/usr/bin/env bash

set -x

set -e

#######

# Depends on creating the tables in section 2

#######



impala-shell -i localhost -d default -q "SHOW TABLES"



# run simple analytical query on hdfs-backed table. This query finds the top 10 users by number of ratings and shows their min and max rating.

impala-shell -i localhost -d default -q "SELECT

    userid,

    minimum_rating,

    maximum_rating,

    total

FROM (

    SELECT

        userid AS user,

        MIN(rating) AS minimum_rating,

        MAX(rating) as maximum_rating

    FROM

        user_item_ratings

    GROUP BY

        userid

    ) AS minmax_ratings

JOIN (

    SELECT

        userid,

        count(*) AS total

    FROM

        user_item_ratings

    GROUP BY

        userid

    ) AS totalratings

ON

    minmax_ratings.user=totalratings.userid

ORDER BY

    total DESC

LIMIT 10"



# run simple analytical query on kudu-backed table.

impala-shell -i localhost -d default -q "SELECT

    userid,

    minimum_rating,

    maximum_rating,

    total

FROM (

    SELECT

        userid AS user,

        MIN(rating) AS minimum_rating,

        MAX(rating) as maximum_rating

    FROM

        kudu_user_ratings

    GROUP BY

        userid

    ) AS minmax_ratings

JOIN (

    SELECT

        userid,

        count(*) AS total

    FROM

        kudu_user_ratings

    GROUP BY

        userid

    ) AS totalratings

ON

    minmax_ratings.user=totalratings.userid

ORDER BY

    total DESC

LIMIT 10"



# Perform 'random read' query on HDFS data

impala-shell -i localhost -d default -q "SELECT COUNT(*), AVG(rating) FROM user_item_ratings WHERE movieid=470 AND userid=276"



# Perform 'random read' query on Kudu (Kudu table is partitioned and uses B-Tree index for fast random access)

impala-shell -i localhost -d default -q "SELECT COUNT(*), AVG(rating) FROM kudu_user_ratings WHERE movieid=470 AND userid=276"



# Update and deletes in HDFS will fail

impala-shell -i localhost -c -d default -q "SELECT AVG(rating) FROM user_item_ratings WHERE movietitle='Tombstone (1993)'"

impala-shell -i localhost -c -d default -q "UPDATE user_item_ratings SET rating=5 WHERE movietitle='Tombstone (1993)'"

impala-shell -i localhost -c -d default -q "DELETE FROM user_item_ratings WHERE movietitle='Tombstone (1993)'"



# Update and delete in Kudu

impala-shell -i localhost -d default -q "SELECT AVG(rating) FROM kudu_user_ratings WHERE movietitle='Tombstone (1993)'"

impala-shell -i localhost -d default -q "UPDATE kudu_user_ratings SET rating=5 WHERE movietitle='Tombstone (1993)'"

impala-shell -i localhost -d default -q "DELETE FROM kudu_user_ratings WHERE movietitle='Tombstone (1993)'"



# Verify deletion

impala-shell -i localhost -d default -q "SELECT * FROM kudu_user_ratings WHERE movietitle='Tombstone (1993)'"

Basic Kudu Installation, API Usage, and SQL Integration - Working Files/api-sql-basics/README.md

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### Kudu Basics: Basic Kudu Installation, API Usage, and SQL Integration



Before running these examples, I recommend installing git and maven. See the `boostrap.sh` script or run the following: 



    sudo yum -y install git

    wget -P /tmp/ http://apache.cs.utah.edu/maven/maven-3/3.3.9/binaries/apache-maven-3.3.9-bin.tar.gz

    sudo tar xzf /tmp/apache-maven-3.3.9-bin.tar.gz -C /usr/local

    cat <<'EOF'>> maven.sh

    export M2_HOME=/usr/local/apache-maven-3.3.9

    export PATH=${M2_HOME}/bin:${PATH}

    EOF

    sudo mv maven.sh /etc/profile.d/maven.sh

    source /etc/profile



You'll also want to download some sample data: 



    wget -P /tmp https://raw.githubusercontent.com/bosshart/kuduscreencast/master/api-sql-basics/user_ratings.txt



About these examples: 



* Segment 1 demonstrates basic CRUD operations using Apache Impala and Kudu. You can run it as a script via: 

```

    git clone https://github.com/bosshart/kuduscreencast.git

    cd kuduscreencast/api-sql-basics/

    chmod u+x 2_create_table_and_insert_data.sh 

    ./2_create_table_and_insert_data.sh 

```

* Segment 2 demonstrates querying Kudu data via Impala and depends on the steps in segment 1. You can run it as a script via: 

```    

    chmod u+x 2_create_table_and_insert_data.sh 

    ./3_query_data.sh

```

* Segment 3 Run the simple API example via the following. Note that the example has the kudu master host hard-coded to be the quickstart. 

```

    mvn clean

    mvn package

    java -cp target/sample.sql-api-basics-1.0-SNAPSHOT.jar com.kuduscreencast.examples.SimpleExample

```    

    

    

    
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Basic Kudu Installation, API Usage, and SQL Integration - Working Files/api-sql-basics/api-sql-basics.iml

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