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Previous | Next | Audio Book for Spark Interview Questions is available here | Top 150 Latest Spark Interview Questions | Quickly go through Spark Training Python & Scala
Question: What are the main difference between DataSet and DataFrame?
Answer: As you remember before Spark 1.6 DataFrame and DataSet were separate API, and they were unified in Spark 2.0. DataSet API is type-safe object and it can operate on to the compiled lambda function. DataFrame has un-typed objects, it means syntax error you can catch during compile time. But if there is any type mismatch, then it can only be caught during run-time.
DataSet, as it has strongly typed objects, it means both syntax as well as type mismatch error can be caught during compile time only.
Question: How do you read json file in Spark?
Answer: JSON is semi-structured data, and Spark provides the easy wat to read json data as below
spark.read.json(hadoopexam.json)
Question: What is Sequence File?
Answer: The best place to learn all the Hadoop file format is https://www.hadoopexam.com big data on-demand training, go and subscribe now. You, can request for discount, if you subscribe to more than one product.
SequenceFiles are also key-value pair, but they are having their key and values in binary format. And this is one of the most used Hadoop based FileFormat. Spark also provides API to conveniently using this FileFormat. SequenceFile contains header as well. Sync marker, helps reader to synchronize to a record boundary from any position in the File. Compression, you can enable two types of compression on SequenceFile, it could be either block level or record level compression.
Question: What is Kryo?
Answer: This is a serialization framework, usually if you use Javas default serialization mechanism then it is quite slower. Hence, other serialization frameworks are available and Spark can support them. One of this is Kryo. So when you work with the object file, you should consider using Kyro.
Question: While connecting to HDFS filesystem, which information you need for the Spark API?
Answer: We need two main information name node URL and port
- NameNode URL. Port and file path for example
Previous | Next | Audio Book for Spark Interview Questions is available here | Top 150 Latest Spark Interview Questions | Quickly go through Spark Training Python & Scala
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