Update README after the release.

README.md

@@ -74,13 +74,13 @@ You can link against this library in your program at the following coordinates:
 </tr>
 <tr>
 <td>
-<pre>groupId: za.co.absa.cobrix<br>artifactId: spark-cobol_2.11<br>version: 2.6.10</pre>
+<pre>groupId: za.co.absa.cobrix<br>artifactId: spark-cobol_2.11<br>version: 2.6.11</pre>
 </td>
 <td>
-<pre>groupId: za.co.absa.cobrix<br>artifactId: spark-cobol_2.12<br>version: 2.6.10</pre>
+<pre>groupId: za.co.absa.cobrix<br>artifactId: spark-cobol_2.12<br>version: 2.6.11</pre>
 </td>
 <td>
-<pre>groupId: za.co.absa.cobrix<br>artifactId: spark-cobol_2.13<br>version: 2.6.10</pre>
+<pre>groupId: za.co.absa.cobrix<br>artifactId: spark-cobol_2.13<br>version: 2.6.11</pre>
 </td>
 </tr>
 </table>
@@ -91,17 +91,17 @@ This package can be added to Spark using the `--packages` command line option. F
 
 ### Spark compiled with Scala 2.11
 ```
-$SPARK_HOME/bin/spark-shell --packages za.co.absa.cobrix:spark-cobol_2.11:2.6.10
+$SPARK_HOME/bin/spark-shell --packages za.co.absa.cobrix:spark-cobol_2.11:2.6.11
 ```
 
 ### Spark compiled with Scala 2.12
 ```
-$SPARK_HOME/bin/spark-shell --packages za.co.absa.cobrix:spark-cobol_2.12:2.6.10
+$SPARK_HOME/bin/spark-shell --packages za.co.absa.cobrix:spark-cobol_2.12:2.6.11
 ```
 
 ### Spark compiled with Scala 2.13
 ```
-$SPARK_HOME/bin/spark-shell --packages za.co.absa.cobrix:spark-cobol_2.13:2.6.10
+$SPARK_HOME/bin/spark-shell --packages za.co.absa.cobrix:spark-cobol_2.13:2.6.11
 ```
 
 ## Usage
@@ -238,17 +238,17 @@ to decode various binary formats.
 
 The jars that you need to get are:
 
-* spark-cobol_2.12-2.6.10.jar
-* cobol-parser_2.12-2.6.10.jar
+* spark-cobol_2.12-2.6.11.jar
+* cobol-parser_2.12-2.6.11.jar
 * scodec-core_2.12-1.10.3.jar
 * scodec-bits_2.12-1.1.4.jar
 * antlr4-runtime-4.8.jar 
 
 After that you can specify these jars in `spark-shell` command line. Here is an example:
 ```
-$ spark-shell --packages za.co.absa.cobrix:spark-cobol_2.12:2.6.10
+$ spark-shell --packages za.co.absa.cobrix:spark-cobol_2.12:2.6.11
 or 
-$ spark-shell --master yarn --deploy-mode client --driver-cores 4 --driver-memory 4G --jars spark-cobol_2.12-2.6.10.jar,cobol-parser_2.12-2.6.10.jar,scodec-core_2.12-1.10.3.jar,scodec-bits_2.12-1.1.4.jar,antlr4-runtime-4.8.jar
+$ spark-shell --master yarn --deploy-mode client --driver-cores 4 --driver-memory 4G --jars spark-cobol_2.12-2.6.11.jar,cobol-parser_2.12-2.6.11.jar,scodec-core_2.12-1.10.3.jar,scodec-bits_2.12-1.1.4.jar,antlr4-runtime-4.8.jar
 
 Setting default log level to "WARN".
 To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).
@@ -315,11 +315,11 @@ Creating an uber jar for Cobrix is very easy. Steps to build:
 
 You can collect the uber jar of `spark-cobol` either at
 `spark-cobol/target/scala-2.11/` or in `spark-cobol/target/scala-2.12/` depending on the Scala version you used.
-The fat jar will have '-bundle' suffix. You can also download pre-built bundles from https://github.com/AbsaOSS/cobrix/releases/tag/v2.6.10
+The fat jar will have '-bundle' suffix. You can also download pre-built bundles from https://github.com/AbsaOSS/cobrix/releases/tag/v2.6.11
 
 Then, run `spark-shell` or `spark-submit` adding the fat jar as the option.
 ```sh
-$ spark-shell --jars spark-cobol_2.12_3.3-2.6.11-SNAPSHOT-bundle.jar
+$ spark-shell --jars spark-cobol_2.12_3.3-2.6.12-SNAPSHOT-bundle.jar
 ```
 
 > <b>A note for building and running tests on Windows</b>
@@ -1737,6 +1737,9 @@ A: Update hadoop dll to version 3.2.2 or newer.
 <details><summary>Older versions</summary>
 <p>
 
+- #### 2.4.11 released 8 April 2022.
+   - [#659](https://github.com/AbsaOSS/cobrix/issues/659) Fixed record length option when record id generation is turned on.
+
 - #### 2.4.10 released 8 April 2022.
    - [#481](https://github.com/AbsaOSS/cobrix/issues/481) ASCII control characters are now ignored instead of being replaced with spaces.
      A new string trimming policy (`keep_all`) allows keeping all control characters in strings (including `0x00`).