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The following commit(s) were added to refs/heads/master by this push:
     new 87c9e4d  [hotfix][docs] Fix and improve query configuration docs.
87c9e4d is described below

commit 87c9e4dd482914a81c5ac69bd85bca5f5674c377
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">

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