release as 0.6.2

.github/ISSUE_TEMPLATE/bug_report.md

@@ -25,7 +25,7 @@ If applicable, add printed error messages, log files or screenshots to help expl
 **System (please complete the following information):**
  - OS: [e.g. Ubuntu 18.04]
  - Java Version: [e.g. openjdk version "1.8.0_191"]
- - OSHDB Version [e.g. 0.6.1]
+ - OSHDB Version [e.g. 0.6.2]
  - Maven version [e.g. 3.3.2]
 
 **Additional context**

CHANGELOG.md

@@ -1,6 +1,15 @@
 Changelog
 =========
 
+## 0.6.2
+
+* don't change cluster state when executing queries on an Ignite cluster. ([#335])
+* fix bug when building multipolygon geometries with certain invalid inner ring configurations (e.g. duplicate inner rings). ([#334])
+
+[#334]: https://github.com/GIScience/oshdb/issues/334
+[#335]: https://github.com/GIScience/oshdb/pull/335
+
+
 ## 0.6.1
 
 * fix a crash caused when _oshdb-filters_ are used in `groupByEntity` queries. #321

README.md

@@ -71,7 +71,7 @@ Documentation
 
 * [first steps tutorial](documentation/first-steps/README.md)
 * [User Manual](documentation/manual/README.md)
-* [OSHDB Javadoc](https://docs.ohsome.org/java/oshdb/0.6.1/aggregated/)
+* [OSHDB Javadoc](https://docs.ohsome.org/java/oshdb/0.6.2/aggregated/)
 
 Examples
 --------

documentation/README.md

@@ -8,5 +8,5 @@ Here you find OSHDB related documentation material:
   Explains the design of the OSHDB data model and shows the different features of the OSHDB API and how they can be used to efficiently query the OSM history data.
 * [Examples](https://gitlab.gistools.geog.uni-heidelberg.de/giscience/big-data/ohsome/oshdb-examples)<br>
   Contains some example code for how to use the OSHDB to analyze the OSM history data.
-* [OSHDB Javadoc](https://docs.ohsome.org/java/oshdb/0.6.1/aggregated/)<br>
+* [OSHDB Javadoc](https://docs.ohsome.org/java/oshdb/0.6.2/aggregated/)<br>
   This lists all methods offered by the various OSHDB modules, packages and classes.

documentation/first-steps/README.md

@@ -25,7 +25,7 @@ If you already have an existing Java maven project, the OSHDB-API can be added t
 <dependency>
   <groupId>org.heigit.ohsome</groupId>
   <artifactId>oshdb-api</artifactId>
-  <version>0.6.1</version>
+  <version>0.6.2</version>
 </dependency>
 ```
 

documentation/first-steps/example-pom.xml

@@ -8,7 +8,7 @@
     <dependency>
       <groupId>org.heigit.ohsome</groupId>
       <artifactId>oshdb-api</artifactId>
-      <version>0.6.1</version>
+      <version>0.6.2</version>
     </dependency>
   </dependencies>
 

documentation/manual/aggregation.md

@@ -5,12 +5,12 @@ Often, when querying OSM history data one is interested in getting multiple resu
 
 The OSHDB API provides a flexible and powerful way to produce aggregated results that are calculated for arbitrary subsets of the data. This `aggregateBy` functionality also supports the combination of multiple such grouping functions chained after each other.
 
-When executing any of the below listed aggregateBy methods, the query's MapReducer is transformed into a [`MapAggregator`](https://docs.ohsome.org/java/oshdb/0.6.1/aggregated/org/heigit/bigspatialdata/oshdb/api/mapreducer/MapAggregator.html) object which is (mostly) functionally equivalent to a MapReducer, with the difference that instead of returning single result values when calling any [reduce](map-reduce.md#reduce) method, an associative list of multiple values is returned instead: The result contains one entry for each requested grouping.
+When executing any of the below listed aggregateBy methods, the query's MapReducer is transformed into a [`MapAggregator`](https://docs.ohsome.org/java/oshdb/0.6.2/aggregated/org/heigit/bigspatialdata/oshdb/api/mapreducer/MapAggregator.html) object which is (mostly) functionally equivalent to a MapReducer, with the difference that instead of returning single result values when calling any [reduce](map-reduce.md#reduce) method, an associative list of multiple values is returned instead: The result contains one entry for each requested grouping.
 
 aggregateBy
 -----------
 
-This is the most generic grouping method, that allows to produce aggregated results that refer to arbitrary subsets of the input data. The [`aggregateBy`](https://docs.ohsome.org/java/oshdb/0.6.1/aggregated/org/heigit/bigspatialdata/oshdb/api/mapreducer/MapReducer.html#aggregateBy(org.heigit.bigspatialdata.oshdb.api.generic.function.SerializableFunction)) method accepts a function that must return an "index" value by which the respective result should be grouped by. For example, when one wants to group results by OSM type, the aggregateBy method should simply return the OSM type value, as in the following example using the OSHDB snapshot view:
+This is the most generic grouping method, that allows to produce aggregated results that refer to arbitrary subsets of the input data. The [`aggregateBy`](https://docs.ohsome.org/java/oshdb/0.6.2/aggregated/org/heigit/bigspatialdata/oshdb/api/mapreducer/MapReducer.html#aggregateBy(org.heigit.bigspatialdata.oshdb.api.generic.function.SerializableFunction)) method accepts a function that must return an "index" value by which the respective result should be grouped by. For example, when one wants to group results by OSM type, the aggregateBy method should simply return the OSM type value, as in the following example using the OSHDB snapshot view:
 
 ```java
 Map<OSMType, Integer> countBuildingsByType = OSMEntitySnapshotView.on(…)
@@ -21,7 +21,7 @@ Map<OSMType, Integer> countBuildingsByType = OSMEntitySnapshotView.on(…)
     .count();
 ``` 
 
-Optionally, the [`aggregateBy`](https://docs.ohsome.org/java/oshdb/0.6.1/aggregated/org/heigit/bigspatialdata/oshdb/api/mapreducer/MapReducer.html#aggregateBy(org.heigit.bigspatialdata.oshdb.api.generic.function.SerializableFunction,java.util.Collection)) method allows to specify a collection of groups  which are expected to be present in the result. If for a particular group, no matching OSM entities are found in the query, the result will then still contain this key, filled with a "zero" value. The actual value used to fill these no-data entries of the result are the indentity values of the query's reduce method.
+Optionally, the [`aggregateBy`](https://docs.ohsome.org/java/oshdb/0.6.2/aggregated/org/heigit/bigspatialdata/oshdb/api/mapreducer/MapReducer.html#aggregateBy(org.heigit.bigspatialdata.oshdb.api.generic.function.SerializableFunction,java.util.Collection)) method allows to specify a collection of groups  which are expected to be present in the result. If for a particular group, no matching OSM entities are found in the query, the result will then still contain this key, filled with a "zero" value. The actual value used to fill these no-data entries of the result are the indentity values of the query's reduce method.
 
  > For example, if the count reducer is used in a query, the result contains `0` integer values in entries for witch no results were found. If instead the collect reduce method is used, empty lists are used to fill no-data entries.
 
@@ -40,12 +40,12 @@ This is a specialized method for grouping results by timestamps. Depending on th
 > For example, when in a query the following three timestamps are set: `2014-01-01`, `2015-01-01` and `2016-01-01`, then a contribution happening at `2015-03-14` will be associated to the time interval between `2015-01-01` and `2016-01-01` (which is represented in the output as the starting time of the interval: `2015-01-01`).
 
 
-There are two variants that allow this grouping by timestamp: [`aggregateByTimestamp`](https://docs.ohsome.org/java/oshdb/0.6.1/aggregated/org/heigit/bigspatialdata/oshdb/api/mapreducer/MapReducer.html#aggregateByTimestamp()) tries to automatically fetch the timestamps from the queried data (i.e. the snapshot or the contribution objects), while the second variant of [`aggregateByTimestamp`](https://docs.ohsome.org/java/oshdb/0.6.1/aggregated/org/heigit/bigspatialdata/oshdb/api/mapreducer/MapReducer.html#aggregateByTimestamp(org.heigit.bigspatialdata.oshdb.api.generic.function.SerializableFunction)) takes a callback function that returns an arbitrary timestamp value. The second variant has to be used in some cases where the automatic matching of objects to its timestamps isn't possible, for example when using the [groupByEntity](views.md#groupbyentity) option in a query, or when using multiple [aggregateBy](#combining-multiple-aggregateby)s in a query.
+There are two variants that allow this grouping by timestamp: [`aggregateByTimestamp`](https://docs.ohsome.org/java/oshdb/0.6.2/aggregated/org/heigit/bigspatialdata/oshdb/api/mapreducer/MapReducer.html#aggregateByTimestamp()) tries to automatically fetch the timestamps from the queried data (i.e. the snapshot or the contribution objects), while the second variant of [`aggregateByTimestamp`](https://docs.ohsome.org/java/oshdb/0.6.2/aggregated/org/heigit/bigspatialdata/oshdb/api/mapreducer/MapReducer.html#aggregateByTimestamp(org.heigit.bigspatialdata.oshdb.api.generic.function.SerializableFunction)) takes a callback function that returns an arbitrary timestamp value. The second variant has to be used in some cases where the automatic matching of objects to its timestamps isn't possible, for example when using the [groupByEntity](views.md#groupbyentity) option in a query, or when using multiple [aggregateBy](#combining-multiple-aggregateby)s in a query.
 
 aggregateByGeometry
 -------------------
 
-Calculating results for multiple sub-regions of an area of interest at once is possible through [`aggregateByGeometry`](https://docs.ohsome.org/java/oshdb/0.6.1/aggregated/org/heigit/bigspatialdata/oshdb/api/mapreducer/MapReducer.html#aggregateByGeometry(java.util.Map)). It accepts an associative list of polygonal geometries with corresponding index values. The result will then use these index values to represent the individual sub-region results.
+Calculating results for multiple sub-regions of an area of interest at once is possible through [`aggregateByGeometry`](https://docs.ohsome.org/java/oshdb/0.6.2/aggregated/org/heigit/bigspatialdata/oshdb/api/mapreducer/MapReducer.html#aggregateByGeometry(java.util.Map)). It accepts an associative list of polygonal geometries with corresponding index values. The result will then use these index values to represent the individual sub-region results.
 
 When using the aggregateByGeometry functionality, any OSM entity geometry that is contained in multiple sub-regions will be split and clipped to the respective geometries.
 
@@ -54,7 +54,7 @@ The given grouping geometries are allowed to overlap each other, but they should
 combining multiple aggregateBy
 ------------------------------
 
-When writing an OSHDB query it is possible to perform multiple of the above mentioned aggregateBy operations. For example, it is possible to write a query that returns results that are aggregated by timestamps and by OSM type. In this case, the final result will contain one entry for each possible combination of the specified groupings. These combined indices are encoded as [`OSHDBCombinedIndex`](https://docs.ohsome.org/java/oshdb/0.6.1/aggregated/org/heigit/bigspatialdata/oshdb/api/generic/OSHDBCombinedIndex.html) objects in the final result map.
+When writing an OSHDB query it is possible to perform multiple of the above mentioned aggregateBy operations. For example, it is possible to write a query that returns results that are aggregated by timestamps and by OSM type. In this case, the final result will contain one entry for each possible combination of the specified groupings. These combined indices are encoded as [`OSHDBCombinedIndex`](https://docs.ohsome.org/java/oshdb/0.6.2/aggregated/org/heigit/bigspatialdata/oshdb/api/generic/OSHDBCombinedIndex.html) objects in the final result map.
 
 ```java
 Map<OSHDBCombinedIndex<OSHDBTimestamp, OSMType>, Integer> countBuildingsByTimeAndType = OSMEntitySnapshotView.on(…)

documentation/manual/database-backends.md

@@ -8,18 +8,18 @@ Database backends can implement different algorithms that control how a query is
 OSHDBJdbc / OSHDBH2
 -------------------
 
-The [`ODHSBJDBC`](https://docs.ohsome.org/java/oshdb/0.6.1/aggregated/org/heigit/bigspatialdata/oshdb/api/db/OSHDBJdbc.html) backend is often used in the `OSHDBH2` variant, which expects data to be stored in a single H2 database file. A few example OSHDB extracts in the H2 format are available for download from [downloads.ohsome.org](https://downloads.ohsome.org/v0.5/). It is also possible to generate an extract from a OSM history dump file using the [`oshdb-tool/etl`](https://github.com/GIScience/oshdb/tree/master/oshdb-tool/etl) module.
+The [`ODHSBJDBC`](https://docs.ohsome.org/java/oshdb/0.6.2/aggregated/org/heigit/bigspatialdata/oshdb/api/db/OSHDBJdbc.html) backend is often used in the `OSHDBH2` variant, which expects data to be stored in a single H2 database file. A few example OSHDB extracts in the H2 format are available for download from [downloads.ohsome.org](https://downloads.ohsome.org/v0.5/). It is also possible to generate an extract from a OSM history dump file using the [`oshdb-tool/etl`](https://github.com/GIScience/oshdb/tree/master/oshdb-tool/etl) module.
 
 Alternatively, the OSHDB data can also be stored in any JDBC compatible database (e.g. a [PostgreSQL](https://www.postgresql.org/) database). The OSHDB data is however always processed and analyzed locally on the machine from which the OSHDB query is started. It is therefore advisable to keep the OSHDB data as local as possible in order to minimize network traffic when using the OSHDBJdbc backend. 
 
 OSHDBIgnite
 -----------
 
-The [`OSHDBIgnite`](https://docs.ohsome.org/java/oshdb/0.6.1/aggregated/org/heigit/bigspatialdata/oshdb/api/db/OSHDBIgnite.html) backend executes computations on a distributed cluster of computers running the [Apache Ignite](https://ignite.apache.org/) big data platform. Each of the computers of the cluster only holds a subset of the global OSHDB data set and can therefore execute its part of an OSHDB query more quickly than a single computer having to process the whole data set.
+The [`OSHDBIgnite`](https://docs.ohsome.org/java/oshdb/0.6.2/aggregated/org/heigit/bigspatialdata/oshdb/api/db/OSHDBIgnite.html) backend executes computations on a distributed cluster of computers running the [Apache Ignite](https://ignite.apache.org/) big data platform. Each of the computers of the cluster only holds a subset of the global OSHDB data set and can therefore execute its part of an OSHDB query more quickly than a single computer having to process the whole data set.
 
-There are currently three different [compute modes](https://docs.ohsome.org/java/oshdb/0.6.1/aggregated/org/heigit/bigspatialdata/oshdb/api/db/OSHDBIgnite.html#computeMode()) available in the OSHDBIgnite backend:
+There are currently three different [compute modes](https://docs.ohsome.org/java/oshdb/0.6.2/aggregated/org/heigit/bigspatialdata/oshdb/api/db/OSHDBIgnite.html#computeMode()) available in the OSHDBIgnite backend:
 
 * *LocalPeek* - (default) is optimized for small to mid scale queries.
 * *ScanQuery* - works better for large scale (e.g. global) analysis queries.
-* *AffinityCall* - is generally slower than the other two compute modes, but supports [streaming](https://docs.ohsome.org/java/oshdb/0.6.1/aggregated/org/heigit/bigspatialdata/oshdb/api/mapreducer/MapReducer.html#stream()) of results.
+* *AffinityCall* - is generally slower than the other two compute modes, but supports [streaming](https://docs.ohsome.org/java/oshdb/0.6.2/aggregated/org/heigit/bigspatialdata/oshdb/api/mapreducer/MapReducer.html#stream()) of results.