Github user paul-rogers commented on a diff in the pull request:
https://github.com/apache/drill/pull/886#discussion_r129728474
--- Diff: _docs/performance-tuning/010-performance-tuning-introduction.md
---
@@ -3,9 +3,9 @@ title: "Performance Tuning Introduction"
date:
parent: "Performance Tuning"
---
-You can apply performance tuning measures to improve how efficiently Drill
queries data. To significantly improve performance in Drill, you must have
knowledge about the underlying data and data sources, as well as familiarity
with how Drill executes queries.
+You can change system options in Drill to improve the query performance.
Before you improve performance in Drill, you must choose a layout of the data
and the choose an appropriate file format specific to your use case. For
example, for an analytic workload operating on historical time series data,
then choosing Parquet as the file format and a partitioning scheme that uses
time as a partitionining dimension would be a recommended approach. In the case
you are directly querying data data sources, you need to have an understanding
of the data source itself. Some familiarity with how Drill executes queries can
also help.
--- End diff --
"improve the query" --> "improve query"
"before you improve" --> "before you tune"
"series, then choosing" --> "series, choosing"
"would be a recommended" -> "is the recommended"
Actually, the whole sentence is too long. Maybe. "Suppose you had ... In
this case, the recommended solution is..."
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at [email protected] or file a JIRA ticket
with INFRA.
---
