CODEPUSH-4: Add data generator

[bharathappali]

This PR is built on #3

#3 Needs to be merged before this PR

This PR adds the data generation logic from the previously generated config. The results are written to a parquet file for better compression and disk usage for larger data sets.

Converters needs to be added on top of this PR to convert a portion or complete set of data in parquet.

[chandrams]

@bharathappali I don't see this file being used, can you update the scripts to install this requirement

[chandrams]

Include copyright for all the files

[chandrams]

@bharathappali - I get the below error when I run the data-gen.py, am I missing anything?

python data-gen.py --config-name config
WARNING: Using incubator modules: jdk.incubator.vector
WARNING: package sun.security.action not in java.base
Using Spark's default log4j profile: org/apache/spark/log4j2-defaults.properties
26/02/13 09:54:19 WARN Utils: Your hostname, li-a82bab4c-21dc-11b2-a85c-ad8b4a97c40c.ibm.com, resolves to a loopback address: 127.0.0.1; using 192.168.0.163 instead (on interface wlp9s0)
26/02/13 09:54:19 WARN Utils: Set SPARK_LOCAL_IP if you need to bind to another address
Using Spark's default log4j profile: org/apache/spark/log4j2-defaults.properties
Setting default log level to "WARN".
To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).
26/02/13 09:54:20 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
WARNING: sun.misc.Unsafe::arrayBaseOffset has been called by org.apache.spark.unsafe.Platform (file:/home/chandrams/.local/lib/python3.14/site-packages/pyspark/jars/spark-unsafe_2.13-4.1.1.jar)
WARNING: Please consider reporting this to the maintainers of class org.apache.spark.unsafe.Platform
WARNING: sun.misc.Unsafe::arrayBaseOffset will be removed in a future release
[StructField('timestamp', IntegerType(), True), StructField('value', DoubleType(), True), StructField('metric_name', StringType(), True), StructField('container', StringType(), True), StructField('endpoint', StringType(), True), StructField('id', StringType(), True), StructField('image', StringType(), True), StructField('job', StringType(), True), StructField('namespace', StringType(), True), StructField('node', StringType(), True), StructField('pod', StringType(), True), StructField('service', StringType(), True)]
26/02/13 09:54:25 WARN FileSystem: Cannot load filesystem
java.util.ServiceConfigurationError: org.apache.hadoop.fs.FileSystem: Provider org.apache.hadoop.fs.viewfs.ViewFileSystem could not be instantiated
	at java.base/java.util.ServiceLoader.fail(ServiceLoader.java:552)
	at java.base/java.util.ServiceLoader$ProviderImpl.newInstance(ServiceLoader.java:712)
	at java.base/java.util.ServiceLoader$ProviderImpl.get(ServiceLoader.java:672)
	at java.base/java.util.ServiceLoader$2.next(ServiceLoader.java:1256)
	at org.apache.hadoop.fs.FileSystem.loadFileSystems(FileSystem.java:3525)
	at org.apache.hadoop.fs.FileSystem.getFileSystemClass(FileSystem.java:3562)
	at org.apache.hadoop.fs.FsUrlStreamHandlerFactory.<init>(FsUrlStreamHandlerFactory.java:77)
	at org.apache.spark.sql.internal.SharedState$.liftedTree2$1(SharedState.scala:209)
	at org.apache.spark.sql.internal.SharedState$.org$apache$spark$sql$internal$SharedState$$setFsUrlStreamHandlerFactory(SharedState.scala:208)
	at org.apache.spark.sql.internal.SharedState.<init>(SharedState.scala:56)

[chandrams]

Please ensure all the required metrics for results and metadata are present - https://github.com/kruize/autotune/blob/master/manifests/autotune/performance-profiles/resource_optimization_local_monitoring.json