Core Data Concepts – Part 1: We could classify data into three types structured, semi-structured and unstructured. Structured Data: Structured data will have fixed schema , represented in table format and stored in database. Semi-structured Data: Semi-structured data will have some structure but it will allow some variation between entity instances. For example some instance …
In this blog we will see how to implement pivot clause in Spark SQL with an example. Pivot Clause : The PIVOT clause is used for data perspective. We can get the aggregated values based on specific column values, which will be turned to multiple columns used in SELECT clause. The PIVOT clause can be …
Spark built-in data sources are json, parquet, jdbc, orc, libsvm, csv, text. Instead of using read API to load a file into DataFrame and query it, you can also query that file directly with SQL. To run SQL on CSV file: To run SQL on JSON file: To run SQL on ORC file: References: https://spark.apache.org/docs/latest/sql-data-sources-load-save-functions.html
Applying Case Clause In Spark SQL For Different Input Sources. Hive table As Input: Step 1: Create table using spark sql. Step 2: Insert values to the table using spark sql. Validate the table created through spark sql in hive. Step 3: Use case clause to create new dataframe with one more column using the …