ASF GitHub Bot commented on FLINK-8475:

Github user aljoscha commented on a diff in the pull request:

    --- Diff: docs/ops/config.md ---
    @@ -268,59 +268,7 @@ These parameters configure the default HDFS used by 
Flink. Setups that do not sp
     ### TaskManager
    -The following parameters configure Flink's TaskManagers.
    -- `taskmanager.hostname`: The hostname of the network interface that the 
TaskManager binds to. By default, the TaskManager searches for network 
interfaces that can connect to the JobManager and other TaskManagers. This 
option can be used to define a hostname if that strategy fails for some reason. 
Because different TaskManagers need different values for this option, it 
usually is specified in an additional non-shared TaskManager-specific config 
    -- `taskmanager.rpc.port`: The task manager's IPC port (DEFAULT: **0**, 
which lets the OS choose a free port). Flink also accepts a list of ports 
("50100,50101"), ranges ("50100-50200") or a combination of both. It is 
recommended to set a range of ports to avoid collisions when multiple 
TaskManagers are running on the same machine.
    -- `taskmanager.data.port`: The task manager's port used for data exchange 
operations (DEFAULT: **0**, which lets the OS choose a free port).
    -- `taskmanager.data.ssl.enabled`: Enable SSL support for the taskmanager 
data transport. This is applicable only when the global ssl flag 
security.ssl.enabled is set to true (DEFAULT: **true**)
    -- `taskmanager.heap.mb`: JVM heap size (in megabytes) for the 
TaskManagers, which are the parallel workers of the system. In contrast to 
Hadoop, Flink runs operators (e.g., join, aggregate) and user-defined functions 
(e.g., Map, Reduce, CoGroup) inside the TaskManager (including 
sorting/hashing/caching), so this value should be as large as possible 
(DEFAULT: **512**). On YARN setups, this value is automatically configured to 
the size of the TaskManager's YARN container, minus a certain tolerance value.
    -- `taskmanager.numberOfTaskSlots`: The number of parallel operator or user 
function instances that a single TaskManager can run (DEFAULT: **1**). If this 
value is larger than 1, a single TaskManager takes multiple instances of a 
function or operator. That way, the TaskManager can utilize multiple CPU cores, 
but at the same time, the available memory is divided between the different 
operator or function instances. This value is typically proportional to the 
number of physical CPU cores that the TaskManager's machine has (e.g., equal to 
the number of cores, or half the number of cores).
    --- End diff --
    Why not include this one in the new description?

> Move remaining sections to generated tables
> -------------------------------------------
>                 Key: FLINK-8475
>                 URL: https://issues.apache.org/jira/browse/FLINK-8475
>             Project: Flink
>          Issue Type: Sub-task
>          Components: Configuration
>            Reporter: Chesnay Schepler
>            Assignee: Chesnay Schepler
>            Priority: Major
>             Fix For: 1.5.0

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