The Query Details page contains the low-level details of how a SQL query is processed through Impala.
The initial information on the page can help you tune the performance of some kinds of queries, primarily those involving joins. The more detailed information on the page is primarily for troubleshooting with the assistance of Cloudera Support; you might be asked to attach the contents of the page to a trouble ticket. The Query Details page displays the following information that is also available in the Query Profile.
- or - to download a text version of the query detail.
- - to download a binary version of the query detail.
The Query Plan section can help you diagnose and tune performance issues with queries. This information is especially useful to understand performance issues with join queries, such as inefficient order of tables in the SQL statement, lack of table and column statistics, and the need for query hints to specify a more efficient join mechanism. You can also learn valuable information about how queries are processed for partitioned tables.
The information in this section corresponds to the output of the
EXPLAIN statement for the Impala query. Each fragment
shown in the query plan corresponds to a processing step that is
performed by the central coordinator host or distributed across the
hosts in the cluster.
The Query Timeline section reports statistics about the execution time for phases of the query.
The Planner Timeline reports statistics about the execution time for phases of the query planner.
The Query Info section reports the attributes of the query, start and end time, duration, and statistics about HDFS access. You can hover over an attribute for information about the attribute name and supported values (for enumerated values). For example:
The Query Fragments section reports detailed low-level statistics for each query plan fragment, involving physical aspects such as CPU utilization, disk I/O, and network traffic. This is the primary information that Cloudera Support might use to help troubleshoot performance issues and diagnose bugs. The details for each fragment display on separate tabs.