Top 10 Hive Interview Questions and Answers

Null values in HIVE can be eliminated using the COALESCE function.

• Use the COALESCE function to replace null values with a default value.

• Syntax: COALESCE(column_name, default_value)

• Example: SELECT COALESCE(name, 'Unknown') FROM table_name;

Hive is a data warehousing tool for Hadoop while SQL is a language used to manage relational databases.

• Hive is used for big data processing while SQL is used for relational databases.

• Hive uses Hadoop Distributed File System (HDFS) while SQL uses trad...read more

External and internal tables in Hive are two types of tables used to store data in Hive.

• External tables store data outside of Hive's warehouse directory, while internal tables store data within the warehouse directory

• External tables do not delete dat...read more

Hive supports various analytical functions for data processing and analysis.

• Hive supports aggregation functions like SUM, COUNT, AVG, MIN, MAX, etc.

• It also supports window functions like ROW_NUMBER, RANK, LAG, LEAD, etc.

• Hive provides statistical func...read more

Data validation in Hive involves using built-in functions and custom scripts to ensure data accuracy and consistency.

• Use built-in functions like IS NULL, IS NOT NULL, and COALESCE to check for missing or null values

• Use regular expressions and pattern...read more

Hive is a data warehouse infrastructure built on top of Hadoop for providing data summarization, query, and analysis.

• Hive uses a SQL-like language called HiveQL to query and manage large datasets stored in Hadoop

• It allows users to write complex queri...read more

To add data into a partitioned hive table, you can use the INSERT INTO statement with the PARTITION clause.

• Use INSERT INTO statement to add data into the table.

• Specify the partition column values using the PARTITION clause.

• Example: INSERT INTO table_...read more

Hive meta store stores metadata about Hive tables, partitions, columns, and storage location.

• Hive meta store is a central repository that stores metadata information about Hive tables, partitions, columns, and storage location.

• It stores this metadata...read more

Hive tables store data in HDFS while external tables reference data stored outside HDFS.

• Hive tables store data in HDFS, while external tables reference data stored outside HDFS.

• External tables are useful when data needs to be shared across different ...read more

Hive External vs managed

• Hive External tables store data outside of the Hive warehouse directory

• Managed tables store data in the Hive warehouse directory

• External tables can be used to access data from different storage systems

• Managed tables are easier...read more

Use DISTINCT keyword in SELECT query to eliminate duplicate records in a Hive table

• Use SELECT DISTINCT * FROM table_name to retrieve unique records

• Consider using GROUP BY clause with appropriate columns to eliminate duplicates

• Utilize the ROW_NUMBER()...read more

Hive tables are used to store structured data in Hive, similar to tables in a traditional database.

• Hive tables are created using the CREATE TABLE statement.

• Tables can be partitioned based on one or more columns.

• External tables in Hive store data outs...read more

Hive architecture, table types, file formats, and dynamic partitioning.

• Hive architecture consists of metastore, driver, compiler, and execution engine.

• Hive tables can be of two types: managed tables and external tables.

• File formats supported by Hive ...read more

Hive is a data warehouse infrastructure built on top of Hadoop for providing data summarization, query, and analysis.

• Advantages: SQL-like query language for querying large datasets, optimized for OLAP workloads, supports partitioning and bucketing fo...read more