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Working With AVRO and Parquet Files

Installing and working with tools for AVRO and Parquet files with Scala and Spark

· Big Data Zone

Read this eGuide to discover the fundamental differences between iPaaS and dPaaS and how the innovative approach of dPaaS gets to the heart of today’s most pressing integration problems, brought to you in partnership with Liaison.

With significant research and help from Srinivasarao Daruna, Data Engineer at airisdata.com

See the GitHub Repo for source code.

Step 0. Prerequisites:

For details on installation, see here: http://airisdata.com/scala-spark-resources-setup-learning/

Step 1: Clone this Repository into a directory (like c:/tools or /tools)

git clone https://github.com/airisdata/avroparquet.git

Step 1 - Alternate: You can download the Zip file from https://github.com/airisdata/avroparquet and unzip. It will name it avroparquet-master.

Step 2: Clone Parquet Map Reduce Tools (for Parquet Command Line Tools) Note: For this step you must have JDK 1.8 installed and in your path. Also you must have Maven 3.x installed and in your path.

git clone -b apache-parquet-1.8.0 https://github.com/apache/parquet-mr.git

cd parquet-mr cd parquet-tools mvn clean package -Plocal

Step 3: Copy the /target/parquet-tools-1.8.0.jar to a directory in your path

Step 4: Copy the meetup_parquet.parquet from the avroparquet.git repository to directory accessible from the parquet tools or the same directory.

Step 5: View the Binary Parquet File (meetup_parquet.parquet) using the parquet tools. This format works on Mac, you may need to set PATHs and change directory structure in Windows or Linux.

java -jar ./parquet-tools-1.8.0.jar cat meetup_parquet.parquet

Step 6: View the Schema for the Same Parquet File

java -jar ./parquet-tools-1.8.0.jar schema meetup_parquet.parquet

Step 7: Using AVRO Command Line Tools, download the AVRO tools.

You can either download with curl, wget, or directly from a browser using the link below:

wget http://apache.claz.org/avro/avro-1.8.0/java/avro-tools-1.8.0.jar

Step 8: Copy the avro-tools jar to your path or to your local directory.

Step 9: Copy an AVRO file to your local directory or an accessible directory from AVRO tools

    Download from here:  https://github.com/airisdata/avroparquet/blob/master/airisdata-meeetup/src/main/resources/avro_file.avro

wget https://github.com/airisdata/avroparquet/blob/master/airisdata-meeetup/src/main/resources/avro_file.avro

Step 10:

java -jar avro-tools-1.8.0.jar tojson --pretty avro_file.avro

For more information see:

Step 11: Avro and Parquet Java Instructions. Go to the directory where you downloaded https://github.com/airisdata/avroparquet/tree/master/airisdata-meeetup.
If you download the ZIP from GitHub it will be in directory avroparquet-master/airisdata-meetup

cd avroparquet-master cd airisdata-meetup

Step 12: Use Maven to build the package

mvn clean package

Step 13: AVRO File Processing

java -cp ./target/avro-work-1.0-SNAPSHOT-jar-with-dependencies.jar com.airisdata.utils.StorageFormatUtils avro write src/main/resources/avro_file.avro src/main/resources/old_schema.avsc

java -cp ./target/avro-work-1.0-SNAPSHOT-jar-with-dependencies.jar com.airisdata.utils.StorageFormatUtils avro read src/main/resources/avro_file.avro

java -cp ./target/avro-work-1.0-SNAPSHOT-jar-with-dependencies.jar com.airisdata.utils.StorageFormatUtils avro read src/main/resources/avro_file.avro src/main/resources/new_schema.avsc

cat src/main/resources/new_schema.avsc

Step 14: PARQUET File Processing

java -cp ./target/avro-work-1.0-SNAPSHOT-jar-with-dependencies.jar com.airisdata.utils.StorageFormatUtils parquet write src/main/resources/parquet_file.parquet src/main/resources/old_schema.avsc

java -cp ./target/avro-work-1.0-SNAPSHOT-jar-with-dependencies.jar com.airisdata.utils.StorageFormatUtils parquet read src/main/resources/parquet_file.parquet

Step 15: Kafka Setup. Download Kafka. (or for Mac you can do brew install kafka)

curl -O https://www.apache.org/dyn/closer.cgi?path=/kafka/

Step 16: Unzip/tar Kafka tar -xvf ./kafka_2.10-

Step 17: Run Zookeeper bin/zookeeper-server-start.sh config/zookeeper.properties

Step 18: Run Kafka bin/kafka-server-start.sh config/server.properties

Step 19: From your download directory: https://github.com/airisdata/avroparquet/tree/master/

Step 20: You must have Scala and SBT installed and in your path. You need Scala 2.10, JDK 8, and SBT 0.13 You can install these via brew.

Step 21: Build the Scala/Spark Program. You must have Spark 1.6.0+ installed

cd storageformats_meetup

sbt clean assembly

Step 22: Submit This jar to Spark to Run. You will need Spark installed and accessible in your path. (brew install spark or see previous meetups). Submit the Kafka Avro Producer. Spark-submit must be installed relevant to where you are.

spark-submit --class com.airisdata.streamingutils.ClickEmitter target/scala-2.10/storageformats_meetup-assembly-1.0.jar localhost:9092 test

Step 23: Submit Avro Consumer

spark-submit --class com.airisdata.streamingutils.KafkaAvroConsumer target/scala-2.10/storageformats_meetup-assembly-1.0.jar test 2

Step 24: View the Spark History server (if you are running that)


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