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…
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Home › Java & Big Data Interview Q&As › ➡ Java interview › 300+ Big Data Interview FAQs › Archive for Big Data – 09: Spark SQL
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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.…
17: Spark interview Q&As with coding examples in pyspark (i.e. python)
Q01. How will you create a Spark context? A01.
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from pyspark.sql import SparkSession spark = SparkSession.builder.appName("my spark job") spark. |
Apache Spark SQL join types interview Q&As
Q1. What are the different Spark SQL join types?
A1. There are different SQL join types like inner join, left/right outer joins, full outer join, left semi-join, left anti-join and self-join.
Q2. Given the below tables, can give examples of the above join types?
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