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Minor updates to documentation. (#8665)

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Abhishek Radhakrishnan 2019-10-12 09:11:03 -07:00 committed by Fangjin Yang
parent 124efa85f6
commit d87840d894
1 changed files with 3 additions and 4 deletions
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7
docs/design/segments.md
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@ -29,7 +29,7 @@ interval, where the time interval is configurable in the
`segmentGranularity` parameter of the
[`granularitySpec`](../ingestion/index.md#granularityspec). For Druid to
operate well under heavy query load, it is important for the segment
file size to be within the recommended range of 300mb-700mb. If your
file size to be within the recommended range of 300MB-700MB. If your
segment files are larger than this range, then consider either
changing the granularity of the time interval or partitioning your
data and tweaking the `targetPartitionSize` in your `partitionsSpec`
@ -73,8 +73,7 @@ indexes* allow for quick filtering operations (specifically, bitmaps
are convenient for quickly applying AND and OR operators). Finally,
the list of values in 2 is needed for *group by* and *TopN*
queries. In other words, queries that solely aggregate metrics based
on filters do not need to touch the list of dimension values stored in
2.
on filters do not need to touch the list of dimension values stored in 2.
To get a concrete sense of these data structures, consider the ‘page’
column from the example data above. The three data structures that
@ -216,7 +215,7 @@ foo_2015-01-01/2015-01-02_v1_1
foo_2015-01-01/2015-01-02_v1_2
```
In the example segments above, the dataSource = foo, interval = 2015-01-01/2015-01-02, version = v1, partitionNum = 0.
In the example segments above, the `dataSource = foo`, `interval = 2015-01-01/2015-01-02`, `version = v1`, and `partitionNum = 0`.
If at some later point in time, you reindex the data with a new schema, the newly created segments will have a higher version id.
```