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[hotfix][docs] Fix typos in documentation
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zzchun authored and zentol committed Dec 18, 2018
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4 changes: 2 additions & 2 deletions docs/dev/table/connect.md
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Expand Up @@ -34,7 +34,7 @@ This page describes how to declare built-in table sources and/or table sinks and
Dependencies
------------

The following table list all available connectors and formats. Their mutual compatibility is tagged in the corresponding sections for [table connectors](connect.html#table-connectors) and [table formats](connect.html#table-formats). The following table provides dependency information for both projects using a build automation tool (such as Maven or SBT) and SQL Client with SQL JAR bundles.
The following tables list all available connectors and formats. Their mutual compatibility is tagged in the corresponding sections for [table connectors](connect.html#table-connectors) and [table formats](connect.html#table-formats). The following tables provide dependency information for both projects using a build automation tool (such as Maven or SBT) and SQL Client with SQL JAR bundles.

{% if site.is_stable %}

Expand All @@ -60,7 +60,7 @@ The following table list all available connectors and formats. Their mutual comp

{% else %}

This table is only available for stable releases.
These tables are only available for stable releases.

{% endif %}

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2 changes: 1 addition & 1 deletion docs/dev/table/streaming/time_attributes.md
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Expand Up @@ -30,7 +30,7 @@ Flink is able to process streaming data based on different notions of *time*.

For more information about time handling in Flink, see the introduction about [Event Time and Watermarks]({{ site.baseurl }}/dev/event_time.html).

This pages explains how time attributes can be defined for time-based operations in Flink's Table API & SQL.
This page explains how time attributes can be defined for time-based operations in Flink's Table API & SQL.

* This will be replaced by the TOC
{:toc}
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4 changes: 2 additions & 2 deletions docs/ops/deployment/yarn_setup.md
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Expand Up @@ -324,9 +324,9 @@ This section briefly describes how Flink and YARN interact.

<img src="{{ site.baseurl }}/fig/FlinkOnYarn.svg" class="img-responsive">

The YARN client needs to access the Hadoop configuration to connect to the YARN resource manager and to HDFS. It determines the Hadoop configuration using the following strategy:
The YARN client needs to access the Hadoop configuration to connect to the YARN resource manager and HDFS. It determines the Hadoop configuration using the following strategy:

* Test if `YARN_CONF_DIR`, `HADOOP_CONF_DIR` or `HADOOP_CONF_PATH` are set (in that order). If one of these variables are set, they are used to read the configuration.
* Test if `YARN_CONF_DIR`, `HADOOP_CONF_DIR` or `HADOOP_CONF_PATH` are set (in that order). If one of these variables is set, it is used to read the configuration.
* If the above strategy fails (this should not be the case in a correct YARN setup), the client is using the `HADOOP_HOME` environment variable. If it is set, the client tries to access `$HADOOP_HOME/etc/hadoop` (Hadoop 2) and `$HADOOP_HOME/conf` (Hadoop 1).

When starting a new Flink YARN session, the client first checks if the requested resources (containers and memory) are available. After that, it uploads a jar that contains Flink and the configuration to HDFS (step 1).
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