HERE Data SDK for Java & Scala Release 2.17.0

Author: heremaps-bot

data-archive/java/avro-example/README.md

@@ -3,7 +3,7 @@
 
     <groupId>com.here.platform.data.archive</groupId>
     <artifactId>data-archive-avro-example</artifactId>
-    <version>0.0.512</version>
+    <version>0.0.528</version>
     <packaging>jar</packaging>
 
     <!-- Meta information section start -->
@@ -23,7 +23,7 @@
         <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
         <java.version>1.8</java.version>
 
-        <sdk-bom.version>2.16.8</sdk-bom.version>
+        <sdk-bom.version>2.17.9</sdk-bom.version>
         <scala.compat.version>2.11</scala.compat.version>
 
         <avro.version>1.8.2</avro.version>

data-archive/java/avro-example/pom.xml

@@ -77,7 +77,7 @@ aggregation {
   # In each aggregation window, all elements referring to the same key will be sent to the same parallel task.
   # Assuming there is no hotspot problem (most if not all elements have the same key), having higher parallelism will improve the data archiving pipeline performance.
   # Required parallelism can be determined by different parameters like indexing attributes cardinality, uniqueness, etc. Please refer Best Practices section in the developer guide for details.
-  # It is highly recommended to override this property. Note that the value of this property should be less than or equal to number of workers selected when creating OLP Pipeline.
+  # It is highly recommended to override this property. Note that the value of this property should be less than or equal to number of workers selected when creating a pipeline.
   parallelism = <UPDATE_ME>    # Eg:- parallelism = 10
 }
 

data-archive/java/avro-example/src/main/resources/application.conf

@@ -3,7 +3,7 @@
 
     <groupId>com.here.platform.data.archive</groupId>
     <artifactId>data-archive-parquet-example</artifactId>
-    <version>0.0.512</version>
+    <version>0.0.528</version>
     <packaging>jar</packaging>
 
     <!-- Meta information section start -->
@@ -23,7 +23,7 @@
         <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
         <java.version>1.8</java.version>
 
-        <sdk-bom.version>2.16.8</sdk-bom.version>
+        <sdk-bom.version>2.17.9</sdk-bom.version>
         <scala.compat.version>2.11</scala.compat.version>
 
         <hadoop-client.version>2.7.3</hadoop-client.version>

data-archive/java/parquet-example/README.md

@@ -77,7 +77,7 @@ aggregation {
   # In each aggregation window, all elements referring to the same key will be sent to the same parallel task.
   # Assuming there is no hotspot problem (most if not all elements have the same key), having higher parallelism will improve the data archiving pipeline performance.
   # Required parallelism can be determined by different parameters like indexing attributes cardinality, uniqueness, etc. Please refer Best Practices section in the developer guide for details.
-  # It is highly recommended to override this property. Note that the value of this property should be less than or equal to number of workers selected when creating OLP Pipeline.
+  # It is highly recommended to override this property. Note that the value of this property should be less than or equal to number of workers selected when creating a pipeline.
   parallelism = <UPDATE_ME>    # Eg:- parallelism = 10
 }
 
@@ -108,7 +108,7 @@ error {
   #   - A `string` type attribute with name "layerId". This attribute stores the `layerId` of the index layer where messages that were successfully processed are indexed.
   # - You can select any TTL setting.
   # Add following two commented parameters in your application.conf (uncomment and update with correct values).
-  # deadletter.hrn = "<CATALOG_HRN_WHERE_YOU_WANT_TO_STORE_MESSAGES_IN_CASE_OF_ERRORS>"     # Eg:- deadletter.hrn = "hrn:here:data::olp-here:sensor-data-deadletter-avro" or deadletter.hrn = "hrn:here-cn:data::olp-cn-here:sensor-data-deadletter-avro" (for China)
+  # deadletter.hrn = "<CATALOG_HRN_WHERE_YOU_WANT_TO_STORE_MESSAGES_IN_CASE_OF_ERRORS>"    # Eg:- deadletter.hrn = "hrn:here:data::olp-here:sensor-data-deadletter-avro" or deadletter.hrn = "hrn:here-cn:data::olp-cn-here:sensor-data-deadletter-avro" (for China)
   # deadletter.layer = "<INDEX_LAYER_NAME_WHERE_YOU_WANT_TO_STORE_MESSAGES_IN_CASE_OF_ERRORS>"    # Eg:- deadletter.layer = "index-layer"
 }
 

data-archive/java/parquet-example/pom.xml

@@ -3,7 +3,7 @@
 
     <groupId>com.here.platform.data.archive</groupId>
     <artifactId>data-archive-protobuf-example</artifactId>
-    <version>0.0.512</version>
+    <version>0.0.528</version>
     <packaging>jar</packaging>
 
     <!-- Meta information section start -->
@@ -23,7 +23,7 @@
         <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
         <java.version>1.8</java.version>
 
-        <sdk-bom.version>2.16.8</sdk-bom.version>
+        <sdk-bom.version>2.17.9</sdk-bom.version>
         <scala.compat.version>2.11</scala.compat.version>
 
         <commons-logging.version>1.2</commons-logging.version>

data-archive/java/parquet-example/src/main/resources/application.conf

@@ -77,7 +77,7 @@ aggregation {
   # In each aggregation window, all elements referring to the same key will be sent to the same parallel task.
   # Assuming there is no hotspot problem (most if not all elements have the same key), having higher parallelism will improve the data archiving pipeline performance.
   # Required parallelism can be determined by different parameters like indexing attributes cardinality, uniqueness, etc. Please refer Best Practices section in the developer guide for details.
-  # It is highly recommended to override this property. Note that the value of this property should be less than or equal to number of workers selected when creating OLP Pipeline.
+  # It is highly recommended to override this property. Note that the value of this property should be less than or equal to number of workers selected when creating a pipeline.
   parallelism = <UPDATE_ME>    # Eg:- parallelism = 10
 }