Add release notes for 0.12.0

site/docs/flink.md

@@ -152,7 +152,7 @@ import os
 from pyflink.datastream import StreamExecutionEnvironment
 
 env = StreamExecutionEnvironment.get_execution_environment()
-iceberg_flink_runtime_jar = os.path.join(os.getcwd(), "iceberg-flink-runtime-0.11.1.jar")
+iceberg_flink_runtime_jar = os.path.join(os.getcwd(), "iceberg-flink-runtime-{{ versions.iceberg }}.jar")
 
 env.add_jars("file://{}".format(iceberg_flink_runtime_jar))
 ```
@@ -441,7 +441,7 @@ stream.print();
 env.execute("Test Iceberg Batch Read");
 ```
 
-There are other options that we could set by Java API, please see the [FlinkSource#Builder](./javadoc/0.11.1/org/apache/iceberg/flink/source/FlinkSource.html).
+There are other options that we could set by Java API, please see the [FlinkSource#Builder](./javadoc/{{ versions.iceberg }}/org/apache/iceberg/flink/source/FlinkSource.html).
 
 ## Writing with DataStream
 
@@ -505,7 +505,7 @@ RewriteDataFilesActionResult result = Actions.forTable(table)
         .execute();
 ```
 
-For more doc about options of the rewrite files action, please see [RewriteDataFilesAction](./javadoc/0.11.1/org/apache/iceberg/flink/actions/RewriteDataFilesAction.html)
+For more doc about options of the rewrite files action, please see [RewriteDataFilesAction](./javadoc/{{ versions.iceberg }}/org/apache/iceberg/flink/actions/RewriteDataFilesAction.html)
 
 ## Future improvement.
 

site/docs/hive.md

@@ -56,7 +56,7 @@ To enable Hive support globally for an application, set `iceberg.engine.hive.ena
 For example, setting this in the `hive-site.xml` loaded by Spark will enable the storage handler for all tables created by Spark.
 
 !!! Warning
-    When using Hive with Tez in `0.11.x` releases, you also have to disable vectorization (`hive.vectorized.execution.enabled=false`)
+    Starting with Apache Iceberg `0.11.0`, when using Hive with Tez you also have to disable vectorization (`hive.vectorized.execution.enabled=false`).
 
 #### Table property configuration
 

site/docs/maintenance.md

@@ -26,7 +26,7 @@
 
 Each write to an Iceberg table creates a new _snapshot_, or version, of a table. Snapshots can be used for time-travel queries, or the table can be rolled back to any valid snapshot.
 
-Snapshots accumulate until they are expired by the [`expireSnapshots`](./javadoc/0.11.1/org/apache/iceberg/Table.html#expireSnapshots--) operation. Regularly expiring snapshots is recommended to delete data files that are no longer needed, and to keep the size of table metadata small.
+Snapshots accumulate until they are expired by the [`expireSnapshots`](./javadoc/{{ versions.iceberg }}/org/apache/iceberg/Table.html#expireSnapshots--) operation. Regularly expiring snapshots is recommended to delete data files that are no longer needed, and to keep the size of table metadata small.
 
 This example expires snapshots that are older than 1 day:
 
@@ -38,7 +38,7 @@ table.expireSnapshots()
      .commit();
 ```
 
-See the [`ExpireSnapshots` Javadoc](./javadoc/0.11.1/org/apache/iceberg/ExpireSnapshots.html) to see more configuration options.
+See the [`ExpireSnapshots` Javadoc](./javadoc/{{ versions.iceberg }}/org/apache/iceberg/ExpireSnapshots.html) to see more configuration options.
 
 There is also a Spark action that can run table expiration in parallel for large tables:
 
@@ -83,7 +83,7 @@ Actions.forTable(table)
     .execute();
 ```
 
-See the [RemoveOrphanFilesAction Javadoc](./javadoc/0.11.1/org/apache/iceberg/actions/RemoveOrphanFilesAction.html) to see more configuration options.
+See the [RemoveOrphanFilesAction Javadoc](./javadoc/{{ versions.iceberg }}/org/apache/iceberg/actions/RemoveOrphanFilesAction.html) to see more configuration options.
 
 This action may take a long time to finish if you have lots of files in data and metadata directories. It is recommended to execute this periodically, but you may not need to execute this often.
 
@@ -119,7 +119,7 @@ Actions.forTable(table).rewriteDataFiles()
 
 The `files` metadata table is useful for inspecting data file sizes and determining when to compact partitons.
 
-See the [`RewriteDataFilesAction` Javadoc](./javadoc/0.11.1/org/apache/iceberg/actions/RewriteDataFilesAction.html) to see more configuration options.
+See the [`RewriteDataFilesAction` Javadoc](./javadoc/{{ versions.iceberg }}/org/apache/iceberg/actions/RewriteDataFilesAction.html) to see more configuration options.
 
 ### Rewrite manifests
 
@@ -139,4 +139,4 @@ table.rewriteManifests()
     .commit();
 ```
 
-See the [`RewriteManifestsAction` Javadoc](./javadoc/0.11.1/org/apache/iceberg/actions/RewriteManifestsAction.html) to see more configuration options.
+See the [`RewriteManifestsAction` Javadoc](./javadoc/{{ versions.iceberg }}/org/apache/iceberg/actions/RewriteManifestsAction.html) to see more configuration options.

site/docs/nessie.md

@@ -71,7 +71,7 @@ from pyflink.datastream import StreamExecutionEnvironment
 from pyflink.table import StreamTableEnvironment
 
 env = StreamExecutionEnvironment.get_execution_environment()
-iceberg_flink_runtime_jar = os.path.join(os.getcwd(), "iceberg-flink-runtime-0.11.1.jar")
+iceberg_flink_runtime_jar = os.path.join(os.getcwd(), "iceberg-flink-runtime-{{ versions.iceberg }}.jar")
 env.add_jars("file://{}".format(iceberg_flink_runtime_jar))
 table_env = StreamTableEnvironment.create(env)
 

site/docs/releases.md

@@ -25,9 +25,9 @@ The latest version of Iceberg is [{{ versions.iceberg }}](https://github.com/apa
 * [{{ versions.iceberg }} Flink runtime Jar](https://search.maven.org/remotecontent?filepath=org/apache/iceberg/iceberg-flink-runtime/{{ versions.iceberg }}/iceberg-flink-runtime-{{ versions.iceberg }}.jar)
 * [{{ versions.iceberg }} Hive runtime Jar](https://search.maven.org/remotecontent?filepath=org/apache/iceberg/iceberg-hive-runtime/{{ versions.iceberg }}/iceberg-hive-runtime-{{ versions.iceberg }}.jar)
 
-To use Iceberg in Spark, download the runtime Jar and add it to the jars folder of your Spark install. Use iceberg-spark3-runtime for Spark 3, and iceberg-spark-runtime for Spark 2.4.
+To use Iceberg in Spark, download the runtime JAR and add it to the jars folder of your Spark install. Use iceberg-spark3-runtime for Spark 3, and iceberg-spark-runtime for Spark 2.4.
 
-To use Iceberg in Hive, download the iceberg-hive-runtime Jar and add it to Hive using `ADD JAR`.
+To use Iceberg in Hive, download the iceberg-hive-runtime JAR and add it to Hive using `ADD JAR`.
 
 ### Gradle
 
@@ -56,8 +56,59 @@ To add a dependency on Iceberg in Maven, add the following to your `pom.xml`:
   ...
 </dependencies>
 ```
+## 0.12.0 Release Notes
 
-## 0.11.1 release notes
+Apache Iceberg 0.12.0 was released on August 15, 2021. It consists of 395 commits authored by 74 contributors over a 139 day period.
+
+High-level features:
+
+* **Core**
+  * Allow Iceberg schemas to specify one or more columns as row identifers [[\#2465](https://github.com/apache/iceberg/pull/2465)]. Note that this is a prerequisite for supporting upserts in Flink.
+  * Added JDBC [[\#1870](https://github.com/apache/iceberg/pull/1870)] and DynamoDB [[\#2688](https://github.com/apache/iceberg/pull/2688)] Iceberg catalog implementations.
+  * Added predicate pushdown for partitions and files metadata tables [[\#2358](https://github.com/apache/iceberg/pull/2358), [\#2926](https://github.com/apache/iceberg/pull/2926)].
+  * Added a new, more flexible compaction action for Spark that can support different strategies such as bin packing and sorting. [[\#2501](https://github.com/apache/iceberg/pull/2501), [\#2609](https://github.com/apache/iceberg/pull/2609)].
+  * Added the ability to upgrade to v2 or create a v2 table using the table property format-version=2  [[\#2887](https://github.com/apache/iceberg/pull/2887)].
+* **Spark**
+  * [[\#2560](https://github.com/apache/iceberg/pull/2560)] added extensions DDL to set identifier fields.
+  * [[\#2365](https://github.com/apache/iceberg/pull/2365)] added support for `ALTER TABLE table CHANGE PARTITION FIELD transform TO transform` DDL.
+  * [[\#2660](https://github.com/apache/iceberg/pull/2660)] added support for micro-batch streaming reads for structured streaming in Spark3.
+  * [[\#2777](https://github.com/apache/iceberg/pull/2777)] improves the performance of importing a Hive table by not loading all partitions from Hive and instead pushing the partition filter to the Metastore.
+  * [[\#2193](https://github.com/apache/iceberg/pull/2193), [\#2206](https://github.com/apache/iceberg/pull/2206)] added support for UPDATE statements in Spark.
+* **Flink** now support SQL primary keys [[\#2410](https://github.com/apache/iceberg/pull/2410)].
+
+Important bug fixes:
+
+* **Core**
+  * [\#2849](https://github.com/apache/iceberg/pull/2849) fixes string bucketing with non-BMP characters
+  * [\#2551](https://github.com/apache/iceberg/pull/2551) fixes Parquet dictionary filter not handling fixed length byte arrays.
+  * [\#2550](https://github.com/apache/iceberg/pull/2550) fixes a problem with the configuration of HiveCatalog.
+* **Spark**
+  * [\#2584](https://github.com/apache/iceberg/pull/2584) fixes MERGE INTO in Spark when used with SinglePartition partitioning.
+  * [\#2877](https://github.com/apache/iceberg/pull/2877) fixes nested struct pruning in Spark
+  * [\#2757](https://github.com/apache/iceberg/pull/2757) fixes Timestamp without Timezone type support in Spark
+
+Other notable changes:
+
+* The Iceberg Community [voted to approve](https://mail-archives.apache.org/mod_mbox/iceberg-dev/202107.mbox/%3cCAMwmD1-k1gnShK=wQ0PD88it6cg9mY7Y1hKHjDZ7L-jcDzpyZA@mail.gmail.com%3e) version 2 of the Apache Iceberg Format Specification. The differences between version 1 and 2 of the specification are documented [here](https://iceberg.apache.org/spec/#version-2).
+* Bugfixes and stability improvements for NessieCatalog
+* Improvements and fixes for Iceberg's Python library
+* Added a vectorized reader for Apache Arrow [[\#2286](https://github.com/apache/iceberg/pull/2286)] and modified Iceberg's Hive integration so that Hive can leverage its vectorized ORC reader when accessing Iceberg tables [[\#2613](https://github.com/apache/iceberg/pull/2613)].
+* The following Iceberg dependencies were upgraded:
+  * Hive 2.3.8 [[\#2110](https://github.com/apache/iceberg/pull/2110)].
+  * Avro 1.10.1 [[\#1648](https://github.com/apache/iceberg/pull/1648)].
+  * Parquet 1.12.0 [[\#2441](https://github.com/apache/iceberg/pull/2441)].
+
+
+## Past releases
+
+### 0.11.1
+
+* Git tag: [0.11.1](https://github.com/apache/iceberg/releases/tag/apache-iceberg-0.11.1)
+* [0.11.1 source tar.gz](https://www.apache.org/dyn/closer.cgi/iceberg/apache-iceberg-0.11.1/apache-iceberg-0.11.1.tar.gz) -- [signature](https://downloads.apache.org/iceberg/apache-iceberg-0.11.1/apache-iceberg-0.11.1.tar.gz.asc) -- [sha512](https://downloads.apache.org/iceberg/apache-iceberg-0.11.1/apache-iceberg-0.11.1.tar.gz.sha512)
+* [0.11.1 Spark 3.0 runtime Jar](https://search.maven.org/remotecontent?filepath=org/apache/iceberg/iceberg-spark3-runtime/0.11.1/iceberg-spark3-runtime-0.11.1.jar)
+* [0.11.1 Spark 2.4 runtime Jar](https://search.maven.org/remotecontent?filepath=org/apache/iceberg/iceberg-spark-runtime/0.11.1/iceberg-spark-runtime-0.11.1.jar)
+* [0.11.1 Flink runtime Jar](https://search.maven.org/remotecontent?filepath=org/apache/iceberg/iceberg-flink-runtime/0.11.1/iceberg-flink-runtime-0.11.1.jar)
+* [0.11.1 Hive runtime Jar](https://search.maven.org/remotecontent?filepath=org/apache/iceberg/iceberg-hive-runtime/0.11.1/iceberg-hive-runtime-0.11.1.jar)
 
 Important bug fixes:
 
@@ -70,7 +121,14 @@ Important bug fixes:
 * [\#2241](https://github.com/apache/iceberg/pull/2241) fixes vectorized ORC reads with metadata columns in Spark.
 * [\#2154](https://github.com/apache/iceberg/pull/2154) refreshes the relation cache in DELETE and MERGE operations in Spark.
 
-## 0.11.0 release notes
+### 0.11.0
+
+* Git tag: [0.11.0](https://github.com/apache/iceberg/releases/tag/apache-iceberg-0.11.0)
+* [0.11.0 source tar.gz](https://www.apache.org/dyn/closer.cgi/iceberg/apache-iceberg-0.11.0/apache-iceberg-0.11.0.tar.gz) -- [signature](https://downloads.apache.org/iceberg/apache-iceberg-0.11.0/apache-iceberg-0.11.0.tar.gz.asc) -- [sha512](https://downloads.apache.org/iceberg/apache-iceberg-0.11.0/apache-iceberg-0.11.0.tar.gz.sha512)
+* [0.11.0 Spark 3.0 runtime Jar](https://search.maven.org/remotecontent?filepath=org/apache/iceberg/iceberg-spark3-runtime/0.11.0/iceberg-spark3-runtime-0.11.0.jar)
+* [0.11.0 Spark 2.4 runtime Jar](https://search.maven.org/remotecontent?filepath=org/apache/iceberg/iceberg-spark-runtime/0.11.0/iceberg-spark-runtime-0.11.0.jar)
+* [0.11.0 Flink runtime Jar](https://search.maven.org/remotecontent?filepath=org/apache/iceberg/iceberg-flink-runtime/0.11.0/iceberg-flink-runtime-0.11.0.jar)
+* [0.11.0 Hive runtime Jar](https://search.maven.org/remotecontent?filepath=org/apache/iceberg/iceberg-hive-runtime/0.11.0/iceberg-hive-runtime-0.11.0.jar)
 
 High-level features:
 
@@ -107,7 +165,7 @@ Other notable changes:
 * ORC now supports reading tinyint, smallint, char, varchar types
 * Avro to Iceberg schema conversion now preserves field docs
 
-## Past releases
+
 
 ### 0.10.0
 

site/docs/spark-procedures.md

@@ -246,7 +246,7 @@ Rewrite manifests for a table to optimize scan planning.
 
 Data files in manifests are sorted by fields in the partition spec. This procedure runs in parallel using a Spark job.
 
-See the [`RewriteManifestsAction` Javadoc](./javadoc/0.11.1/org/apache/iceberg/actions/RewriteManifestsAction.html)
+See the [`RewriteManifestsAction` Javadoc](./javadoc/{{ versions.iceberg }}/org/apache/iceberg/actions/RewriteManifestsAction.html)
 to see more configuration options.
 
 **Note** this procedure invalidates all cached Spark plans that reference the affected table.

site/mkdocs.yml

@@ -31,7 +31,7 @@ extra_css:
   - css/extra.css
 extra:
   versions:
-    iceberg: 0.11.1
+    iceberg: 0.12.0
 plugins:
   - redirects:
       redirect_maps: