Apache Hive has a Database Manager that means Hadoop is not a black box, keeps queries running fast with column statistics, and has a visual explanation plan.
Ambari’s Hive View gives analysts and DBAs a convenient web interface to Apache Hive which allows SQL analytics, data management, and performance diagnostics. Ambari 2.5 introduces Hive View 2.0 with a brand new user experience plus a slew of great new tools to help DBAs run Hive jobs faster and more effectively than ever before.
Ever feel like Hadoop is a black box? Struggling to find what data is in your Hadoop cluster, or how it is laid out?
Hive View 2.0’s new Database Manager makes it easy to:
Missing column statistics is one of the leading causes of sub-optimal query performance on Hadoop. Hive View 2.0 makes it easy to view table statistics and find tables that are missing statistics. If you find a table that is missing statistics, computing stats is just one button click away.
Slow query got you down? Hive View 2.0’s new Visual Explain makes it easy to find and fix expensive operations by providing a high-level view of the query’s execution plan that focuses on the cost of each step. Expensive operations like Merge Joins are immediately visible, letting you know when settings changes or query re-writes are appropriate. When you need more detail, drill down to any step of the plan to see detailed cost, vectorization, and execution engine information.
