This is an automated email from the ASF dual-hosted git repository.
fhueske pushed a commit to branch release-1.10
in repository https://gitbox.apache.org/repos/asf/flink.git
The following commit(s) were added to refs/heads/release-1.10 by this push:
new 38a75ca [hotfix][docs] Fix and improve query configuration docs.
38a75ca is described below
commit 38a75cab9b2aba86a0ed8deaf986a3d9d8d7f1f3
Author: Fabian Hueske <fhue...@apache.org>
AuthorDate: Tue May 12 11:03:59 2020 +0200
[hotfix][docs] Fix and improve query configuration docs.
* Fix: TableConfig is *not* passed back when a Table is translated.
---
docs/dev/table/streaming/query_configuration.md | 4 ++--
docs/dev/table/streaming/query_configuration.zh.md | 4 ++--
2 files changed, 4 insertions(+), 4 deletions(-)
diff --git a/docs/dev/table/streaming/query_configuration.md
b/docs/dev/table/streaming/query_configuration.md
index 3bf0c45..bf84843 100644
--- a/docs/dev/table/streaming/query_configuration.md
+++ b/docs/dev/table/streaming/query_configuration.md
@@ -22,9 +22,9 @@ specific language governing permissions and limitations
under the License.
-->
-Table API and SQL queries have the same semantics regardless whether their
input is bounded batch input or unbounded stream input. In many cases,
continuous queries on streaming input are capable of computing accurate results
that are identical to offline computed results. However, this is not possible
in general case because continuous queries have to restrict the size of the
state they are maintaining in order to avoid to run out of storage and to be
able to process unbounded streaming [...]
+Table API and SQL queries have the same semantics regardless whether their
input is a finite set of rows or an unbounded stream of table changes. In many
cases, continuous queries on streaming input are able to compute accurate
results that are identical to offline computed results. However, for some
continuous queries you have to limit the size of the state they are maintaining
in order to avoid to run out of storage while ingesting an unbounded stream of
input. It depends on the charac [...]
-Flink's Table API and SQL interface provide parameters to tune the accuracy
and resource consumption of continuous queries. The parameters are specified
via a `TableConfig` object. The `TableConfig` can be obtained from the
`TableEnvironment` and is passed back when a `Table` is translated, i.e., when
it is [transformed into a DataStream]({{ site.baseurl
}}/dev/table/common.html#convert-a-table-into-a-datastream-or-dataset) or
[emitted via a TableSink](../common.html#emit-a-table).
+Flink's Table API and SQL interface provide parameters to tune the accuracy
and resource consumption of continuous queries. The parameters are specified
via a `TableConfig` object, which can be obtained from the `TableEnvironment`.
<div class="codetabs" markdown="1">
<div data-lang="java" markdown="1">
diff --git a/docs/dev/table/streaming/query_configuration.zh.md
b/docs/dev/table/streaming/query_configuration.zh.md
index 3bf0c45..bf84843 100644
--- a/docs/dev/table/streaming/query_configuration.zh.md
+++ b/docs/dev/table/streaming/query_configuration.zh.md
@@ -22,9 +22,9 @@ specific language governing permissions and limitations
under the License.
-->
-Table API and SQL queries have the same semantics regardless whether their
input is bounded batch input or unbounded stream input. In many cases,
continuous queries on streaming input are capable of computing accurate results
that are identical to offline computed results. However, this is not possible
in general case because continuous queries have to restrict the size of the
state they are maintaining in order to avoid to run out of storage and to be
able to process unbounded streaming [...]
+Table API and SQL queries have the same semantics regardless whether their
input is a finite set of rows or an unbounded stream of table changes. In many
cases, continuous queries on streaming input are able to compute accurate
results that are identical to offline computed results. However, for some
continuous queries you have to limit the size of the state they are maintaining
in order to avoid to run out of storage while ingesting an unbounded stream of
input. It depends on the charac [...]
-Flink's Table API and SQL interface provide parameters to tune the accuracy
and resource consumption of continuous queries. The parameters are specified
via a `TableConfig` object. The `TableConfig` can be obtained from the
`TableEnvironment` and is passed back when a `Table` is translated, i.e., when
it is [transformed into a DataStream]({{ site.baseurl
}}/dev/table/common.html#convert-a-table-into-a-datastream-or-dataset) or
[emitted via a TableSink](../common.html#emit-a-table).
+Flink's Table API and SQL interface provide parameters to tune the accuracy
and resource consumption of continuous queries. The parameters are specified
via a `TableConfig` object, which can be obtained from the `TableEnvironment`.
<div class="codetabs" markdown="1">
<div data-lang="java" markdown="1">
