wuchong commented on a change in pull request #9802: [FLINK-13361][documention]
Add documentation for JDBC connector for Table API & SQL
URL: https://github.com/apache/flink/pull/9802#discussion_r333313932
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File path: docs/dev/table/connect.md
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@@ -1075,6 +1076,143 @@ CREATE TABLE MyUserTable (
{% top %}
+### JDBC Connector
+
+<span class="label label-primary">Source: Batch</span>
+<span class="label label-primary">Sink: Batch</span>
+<span class="label label-primary">Sink: Streaming Append Mode</span>
+<span class="label label-primary">Sink: Streaming Upsert Mode</span>
+<span class="label label-primary">Temporal Join: Sync Mode</span>
+
+The JDBC connector allows for reading from an JDBC client.
+The JDBC connector allows for writing into an JDBC client.
+
+The connector can operate in [upsert mode](#update-modes) for exchanging
UPSERT/DELETE messages with the external system using a [key defined by the
query](./streaming/dynamic_tables.html#table-to-stream-conversion).
+
+For append-only queries, the connector can also operate in [append
mode](#update-modes) for exchanging only INSERT messages with the external
system.
+
+Need specify JDBC library, for example, if want to use Mysql library, the
following dependency to your project:
+
+{% highlight xml %}
+<dependency>
+ <groupId>mysql</groupId>
+ <artifactId>mysql-connector-java</artifactId>
+ <version>8.0.17</version>
+</dependency>
+{% endhighlight %}
+
+**Library support:** Now, we only support mysql, derby, postgres.
+
+The connector can be defined as follows:
+
+<div class="codetabs" markdown="1">
+<div data-lang="YAML" markdown="1">
+{% highlight yaml %}
+connector:
+ type: jdbc
+ url: "jdbc:mysql://localhost:3306/flink-test" # required: JDBC DB url
+ table: "jdbc_table_name" # required: jdbc table name
+ driver: "com.mysql.jdbc.Driver" # optional: the class name of the JDBC
driver to use to connect to this URL.
+ # If not set, it will automatically be
derived from the URL.
+
+ username: "name" # optional: jdbc user name and password
+ password: "password"
+
+ read: # scan options, optional, used when reading from table
+ partition: # These options must all be specified if any of them is
specified. In addition, partition.num must be specified. They
+ # describe how to partition the table when reading in parallel
from multiple tasks. partition.column must be a numeric,
+ # date, or timestamp column from the table in question. Notice
that lowerBound and upperBound are just used to decide
+ # the partition stride, not for filtering the rows in table. So
all rows in the table will be partitioned and returned.
+ # This option applies only to reading.
+ column: "column_name" # optional, name of the column used for
partitioning the input.
+ num: 50 # optional, the largest value of the last
partition.
Review comment:
the number of partitions?
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