These Hadoop tutorials assume that you have installed Cloudera QuickStart, which has the Hadoop eco system like HDFS, Spark, Hive, HBase, YARN, etc. This example extends Learn Hive to write to and read from AVRO & Parquet files by examples to access Hive metastore via Spark SQL. … Read more...
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10 Spark SQL Interview Q&As
Q1. What is Spark SQL?
A1. Apache Spark SQL is a module for structured data processing in Spark. Spark SQL integrates relational processing (i.e. SQL) with Spark’s functional programming using Scala, Java, etc weave SQL queries with Dataframes/Datasets based transformations. It provides support for various data sources as shown below:
Q2.
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17: Spark interview Q&As with coding examples in pyspark (i.e. python)
Q01. How will you create a Spark context? A01. Q02. How will you create a Dataframe by reading a file from AWS S3 bucket? A02. Q03. How will you create a Dataframe by reading a table in a database? … Read more ›...
Spark SQL joins & performance tuning interview questions & answers
Q1. What are the different types of Spark SQL joins? A1. There are 3 types of joins. 1) Sort Merge Join – when both table 1 & table 2 are large. You need to shuffle & sort by the join keys. … Read more ›...
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