What is HiveServer2?
HiveServer2 (HS2) is a service that enables clients to execute queries against Hive. HiveServer2 is the successor to HiveServer1 which has been deprecated. HS2 supports multi-client concurrency and authentication. It is designed to provide better support for open API clients like JDBC and ODBC.
What is Hive architecture?
Architecture of Hive Hive is a data warehouse infrastructure software that can create interaction between user and HDFS. The user interfaces that Hive supports are Hive Web UI, Hive command line, and Hive HD Insight (In Windows server). Meta Store.
What is the difference between Cloudera Impala and Hive?
Hive is Fault tolerant but Impala does not support fault tolerance. Hive supports complex type but Impala does not support complex types. Hive is batch-based Hadoop MapReduce but Impala is MPP database. Hive does not support interactive computing but Impala supports interactive computing.
Which are major components of Hive architecture?
The major components of Apache Hive are the Hive clients, Hive services, Processing framework and Resource Management, and the Distributed Storage. The user interacts with the Hive through the user interface by submitting Hive queries. The driver passes the Hive query to the compiler.
How do I start HiveServer?
Start HiverServer2 In Order to run it as a service run the same command as nohup $HIVE_HOME/bin/hiveserver2 & . This creates a nohup. out file that contains the log. You can also start Hive server HS2 (HiveServer2) using hive –service command.
How do I know if HiveServer2 is running?
If you are using Ambari, then you can drill into hive. You will see the components for Hive here > Metastore, Hiveserver2, Webhcat. You can click on Hiveserver2 and this will take you to the hosts page for the host running hiveserver2.
What applications are supported by Hive?
Hive supports all those client applications that are written in:
- Java.
- PHP.
- Python.
- C++
- Ruby.
Should I use Hive or Impala?
Using Impala and Hive LLAP
| Impala | Hive LLAP |
|---|---|
| Good choice for interactive and ad-hoc analysis, especially with high concurrency self-service | Good choice for long-running queries requiring heavy transformations or multiple joins Good choice for interactive and ad-hoc analysis using features not available in Impala |
Which is better Hive or Impala?
Hive vs Impala – Performance Hive is better able to handle longer-running, more complex queries on much larger datasets. Since Impala is not built over the MapReduce algorithms, the latency is reduced allowing Impala to run faster than Hive.
What is explode in hive?
The explode function explodes an array to multiple rows. Returns a row-set with a single column (col), one row for each element from the array.