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docs: change OR to AND inside query docs about multi-value dims (#3162)

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* docs: replace OR by AND inside topnquery docs about multi value dimensions

* docs: replace OR by AND inside groupby docs about multi value dimensions
This commit is contained in:
linbo.jin 2016-06-17 23:54:18 +08:00 committed by Fangjin Yang
parent 8b21036833
commit 8c76fe7b97
2 changed files with 2 additions and 2 deletions
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2
docs/content/querying/groupbyquery.md
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@ -100,7 +100,7 @@ To pull it all together, the above query would return *n\*m* data points, up to
groupBy queries can group on multi-value dimensions. When grouping on a multi-value dimension, _all_ values
from matching rows will be used to generate one group per value. It's possible for a query to return more groups than
there are rows. For example, a groupBy on the dimension `tags` with filter `"t1" OR "t3"` would match only row1, and
there are rows. For example, a groupBy on the dimension `tags` with filter `"t1" AND "t3"` would match only row1, and
generate a result with three groups: `t1`, `t2`, and `t3`. If you only need to include values that match
your filter, you can use a [filtered dimensionSpec](dimensionspecs.html#filtered-dimensionspecs). This can also
improve performance.

2
docs/content/querying/topnquery.md
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@ -133,7 +133,7 @@ The format of the results would look like so:
topN queries can group on multi-value dimensions. When grouping on a multi-value dimension, _all_ values
from matching rows will be used to generate one group per value. It's possible for a query to return more groups than
there are rows. For example, a topN on the dimension `tags` with filter `"t1" OR "t3"` would match only row1, and
there are rows. For example, a topN on the dimension `tags` with filter `"t1" AND "t3"` would match only row1, and
generate a result with three groups: `t1`, `t2`, and `t3`. If you only need to include values that match
your filter, you can use a [filtered dimensionSpec](dimensionspecs.html#filtered-dimensionspecs). This can also
improve performance.