Table of Contents
Which is used to Visualise the data in Hive GUI?
4 Answers. You can visualize the output of hive with Zeppelin Which is an open source Big data visualization platform by Apache foundation. You can deploy zeppelin on your name node and you can run hive queries through zeppelin.
How do I visualize data in Hive?
- After logging to Ambari 2.1. 2, open the Hive view (in this case I had to create a new instance of the view configured for kerberos).
- Click the Data Visualization tab on the right and drag/drop description and salary fields onto x, y fields.
- Select from the various chart options to change the chart.
How do you check the performance of a Hive query?
Use Hive Cost Based Optimizer (CBO) and Update Stats Apache Hive provides cost based optimizer to improve the performance. You should enable the CBO and update statistics regularly using Apache Hive ANALYZE command. Apache Hive uses table statistics to generate an optimal execution plan.
How do I connect supersets to my Hive?
Connect Apache Hive to Superset
- Click Superset.
- In the Summary portion of Quick Links, click Superset and log in using your Superset user name and password.
- From Sources, select Databases.
- In Add Filter, add a new record.
- In Add Database, enter the name of your Hive database: for example, default.
- Click Test Connection.
What is superset Hadoop?
Apache Superset is a data exploration platform for interactively visualizing data from diverse data sources, such as Hive and Druid. Superset supports more than 30 types of visualizations. In this task, you add Superset to a node in a cluster, start Superset, and connect Superset to Hive.
What is Hive hue?
Hue is an open source web user interface for Hadoop. Hue allows technical and non-technical users to take advantage of Hive, Pig, and many of the other tools that are part of the Hadoop and EMR ecosystem. You can also define an S3-based table using Hue’s Metastore Manager.
What are the best practices to improve Hive query performance?
Hive Performance – 10 Best Practices for Apache Hive
- Partitioning Tables: Hive partitioning is an effective method to improve the query performance on larger tables.
- De-normalizing data:
- Compress map/reduce output:
- Map join:
- Input Format Selection:
- Parallel execution:
- Vectorization:
- Unit Testing:
How do I make Hive queries run faster?
How to Improve Hive Query Performance With Hadoop
- Use Tez Engine. Apache Tez Engine is an extensible framework for building high-performance batch processing and interactive data processing.
- Use Vectorization.
- Use ORCFile.
- Use Partitioning.
- Use Bucketing.
- Cost-Based Query Optimization.
How do I run hive commands?
How to Run Hive Scripts?
- Step 1: Writing a Hive script. To write the Hive Script the file should be saved with . sql extension.
- Step 2: Running the Hive Script. The following is the command to run the Hive script: Command: hive –f /home/cloudera/sample.sql.
How do I view tables in hive?
There are three ways to describe a table in Hive.
- To see table primary info of Hive table, use describe table_name; command.
- To see more detailed information about the table, use describe extended table_name; command.
- To see code in a clean manner use describe formatted table_name; command to see all information.
What are the types of queries in hive?
Hive Queries: Order By, Group By, Distribute By, Cluster By Examples Hive provides SQL type querying language for the ETL purpose on top of Hadoop file system. Hive Query language (HiveQL) provides SQL type environment in Hive to work with tables, databases, queries.
What is the difference between hivehive and HiveQL?
Hive provides SQL type querying language for the ETL purpose on top of Hadoop file system. Hive Query language (HiveQL) provides SQL type environment in Hive to work with tables, databases, queries.
What is the use of order by in hive?
Order by is the clause we use with “SELECT” statement in Hive queries, which helps sort data. Order by clause use columns on Hive tables for sorting particular column values mentioned with Order by.
What is the use of cluster by clause in hive?
Cluster BY clause used on tables present in Hive. Hive uses the columns in Cluster by to distribute the rows among reducers. Cluster BY columns will go to the multiple reducers. For example, Cluster By clause mentioned on the Id column name of the table employees_guru table.