Release 0.42.3.

Author: kokoro-team

CHANGES.md

@@ -1,6 +1,6 @@
 # Release Notes
 
-## Next
+## 0.42.3 - 2025-05-22
 * PR #1369: Catalog enhancements
 * PR #1370: Add backwards compatibility for OpenLineage prior to version 1.18.0.
 

README.md

@@ -57,14 +57,14 @@ The latest version of the connector is publicly available in the following links
 
 | version    | Link                                                                                                                                                                                                                   |
 |------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
-| Spark 3.5  | `gs://spark-lib/bigquery/spark-3.5-bigquery-0.42.1.jar`([HTTP link](https://storage.googleapis.com/spark-lib/bigquery/spark-3.5-bigquery-0.42.1.jar))                                        |
-| Spark 3.4  | `gs://spark-lib/bigquery/spark-3.4-bigquery-0.42.1.jar`([HTTP link](https://storage.googleapis.com/spark-lib/bigquery/spark-3.4-bigquery-0.42.1.jar))                                        |
-| Spark 3.3  | `gs://spark-lib/bigquery/spark-3.3-bigquery-0.42.1.jar`([HTTP link](https://storage.googleapis.com/spark-lib/bigquery/spark-3.3-bigquery-0.42.1.jar))                                        |
-| Spark 3.2  | `gs://spark-lib/bigquery/spark-3.2-bigquery-0.42.1.jar`([HTTP link](https://storage.googleapis.com/spark-lib/bigquery/spark-3.2-bigquery-0.42.1.jar))                                        |
-| Spark 3.1  | `gs://spark-lib/bigquery/spark-3.1-bigquery-0.42.1.jar`([HTTP link](https://storage.googleapis.com/spark-lib/bigquery/spark-3.1-bigquery-0.42.1.jar))                                        |
+| Spark 3.5  | `gs://spark-lib/bigquery/spark-3.5-bigquery-0.42.3.jar`([HTTP link](https://storage.googleapis.com/spark-lib/bigquery/spark-3.5-bigquery-0.42.3.jar))                                        |
+| Spark 3.4  | `gs://spark-lib/bigquery/spark-3.4-bigquery-0.42.3.jar`([HTTP link](https://storage.googleapis.com/spark-lib/bigquery/spark-3.4-bigquery-0.42.3.jar))                                        |
+| Spark 3.3  | `gs://spark-lib/bigquery/spark-3.3-bigquery-0.42.3.jar`([HTTP link](https://storage.googleapis.com/spark-lib/bigquery/spark-3.3-bigquery-0.42.3.jar))                                        |
+| Spark 3.2  | `gs://spark-lib/bigquery/spark-3.2-bigquery-0.42.3.jar`([HTTP link](https://storage.googleapis.com/spark-lib/bigquery/spark-3.2-bigquery-0.42.3.jar))                                        |
+| Spark 3.1  | `gs://spark-lib/bigquery/spark-3.1-bigquery-0.42.3.jar`([HTTP link](https://storage.googleapis.com/spark-lib/bigquery/spark-3.1-bigquery-0.42.3.jar))                                        |
 | Spark 2.4  | `gs://spark-lib/bigquery/spark-2.4-bigquery-0.37.0.jar`([HTTP link](https://storage.googleapis.com/spark-lib/bigquery/spark-2.4-bigquery-0.37.0.jar))                                                                  |
-| Scala 2.13 | `gs://spark-lib/bigquery/spark-bigquery-with-dependencies_2.13-0.42.1.jar` ([HTTP link](https://storage.googleapis.com/spark-lib/bigquery/spark-bigquery-with-dependencies_2.13-0.42.1.jar)) |
-| Scala 2.12 | `gs://spark-lib/bigquery/spark-bigquery-with-dependencies_2.12-0.42.1.jar` ([HTTP link](https://storage.googleapis.com/spark-lib/bigquery/spark-bigquery-with-dependencies_2.12-0.42.1.jar)) |
+| Scala 2.13 | `gs://spark-lib/bigquery/spark-bigquery-with-dependencies_2.13-0.42.3.jar` ([HTTP link](https://storage.googleapis.com/spark-lib/bigquery/spark-bigquery-with-dependencies_2.13-0.42.3.jar)) |
+| Scala 2.12 | `gs://spark-lib/bigquery/spark-bigquery-with-dependencies_2.12-0.42.3.jar` ([HTTP link](https://storage.googleapis.com/spark-lib/bigquery/spark-bigquery-with-dependencies_2.12-0.42.3.jar)) |
 | Scala 2.11 | `gs://spark-lib/bigquery/spark-bigquery-with-dependencies_2.11-0.29.0.jar` ([HTTP link](https://storage.googleapis.com/spark-lib/bigquery/spark-bigquery-with-dependencies_2.11-0.29.0.jar))                           |
 
 The first six versions are Java based connectors targeting Spark 2.4/3.1/3.2/3.3/3.4/3.5 of all Scala versions built on the new
@@ -107,14 +107,14 @@ repository. It can be used using the `--packages` option or the
 
 | version    | Connector Artifact                                                                 |
 |------------|------------------------------------------------------------------------------------|
-| Spark 3.5  | `com.google.cloud.spark:spark-3.5-bigquery:0.42.1`                    |
-| Spark 3.4  | `com.google.cloud.spark:spark-3.4-bigquery:0.42.1`                    |
-| Spark 3.3  | `com.google.cloud.spark:spark-3.3-bigquery:0.42.1`                    |
-| Spark 3.2  | `com.google.cloud.spark:spark-3.2-bigquery:0.42.1`                    |
-| Spark 3.1  | `com.google.cloud.spark:spark-3.1-bigquery:0.42.1`                    |
+| Spark 3.5  | `com.google.cloud.spark:spark-3.5-bigquery:0.42.3`                    |
+| Spark 3.4  | `com.google.cloud.spark:spark-3.4-bigquery:0.42.3`                    |
+| Spark 3.3  | `com.google.cloud.spark:spark-3.3-bigquery:0.42.3`                    |
+| Spark 3.2  | `com.google.cloud.spark:spark-3.2-bigquery:0.42.3`                    |
+| Spark 3.1  | `com.google.cloud.spark:spark-3.1-bigquery:0.42.3`                    |
 | Spark 2.4  | `com.google.cloud.spark:spark-2.4-bigquery:0.37.0`                                 |
-| Scala 2.13 | `com.google.cloud.spark:spark-bigquery-with-dependencies_2.13:0.42.1` |
-| Scala 2.12 | `com.google.cloud.spark:spark-bigquery-with-dependencies_2.12:0.42.1` |
+| Scala 2.13 | `com.google.cloud.spark:spark-bigquery-with-dependencies_2.13:0.42.3` |
+| Scala 2.12 | `com.google.cloud.spark:spark-bigquery-with-dependencies_2.12:0.42.3` |
 | Scala 2.11 | `com.google.cloud.spark:spark-bigquery-with-dependencies_2.11:0.29.0`              |
 
 ### Specifying the  Spark BigQuery connector version in a Dataproc cluster
@@ -124,8 +124,8 @@ Using the standard `--jars` or `--packages` (or alternatively, the `spark.jars`/
 
 To use another version than the built-in one, please do one of the following:
 
-* For Dataproc clusters, using image 2.1 and above, add the following flag on cluster creation to upgrade the version `--metadata SPARK_BQ_CONNECTOR_VERSION=0.42.1`, or `--metadata SPARK_BQ_CONNECTOR_URL=gs://spark-lib/bigquery/spark-3.3-bigquery-0.42.1.jar` to create the cluster with a different jar. The URL can point to any valid connector JAR for the cluster's Spark version.
-* For Dataproc serverless batches, add the following property on batch creation to upgrade the version: `--properties dataproc.sparkBqConnector.version=0.42.1`, or `--properties dataproc.sparkBqConnector.uri=gs://spark-lib/bigquery/spark-3.3-bigquery-0.42.1.jar` to create the batch with a different jar. The URL can point to any valid connector JAR for the runtime's Spark version.
+* For Dataproc clusters, using image 2.1 and above, add the following flag on cluster creation to upgrade the version `--metadata SPARK_BQ_CONNECTOR_VERSION=0.42.3`, or `--metadata SPARK_BQ_CONNECTOR_URL=gs://spark-lib/bigquery/spark-3.3-bigquery-0.42.3.jar` to create the cluster with a different jar. The URL can point to any valid connector JAR for the cluster's Spark version.
+* For Dataproc serverless batches, add the following property on batch creation to upgrade the version: `--properties dataproc.sparkBqConnector.version=0.42.3`, or `--properties dataproc.sparkBqConnector.uri=gs://spark-lib/bigquery/spark-3.3-bigquery-0.42.3.jar` to create the batch with a different jar. The URL can point to any valid connector JAR for the runtime's Spark version.
 
 ## Hello World Example
 
@@ -135,7 +135,7 @@ You can run a simple PySpark wordcount against the API without compilation by ru
 
 ```
 gcloud dataproc jobs submit pyspark --cluster "$MY_CLUSTER" \
-  --jars gs://spark-lib/bigquery/spark-bigquery-with-dependencies_2.12-0.42.1.jar \
+  --jars gs://spark-lib/bigquery/spark-bigquery-with-dependencies_2.12-0.42.3.jar \
   examples/python/shakespeare.py
 ```
 
@@ -236,6 +236,32 @@ In order to use this feature the `viewsEnabled` configurations MUST be set to
 saving the result into a temporary table, of which Spark will read the results
 from. This may add additional costs on your BigQuery account.
 
+### Reading From Parameterized Queries
+
+The connector supports executing [BigQuery parameterized queries](https://cloud.google.com/bigquery/docs/parameterized-queries) using the
+standard `spark.read.format('bigquery')` API.
+
+To use parameterized queries:
+
+1. Provide the SQL query containing parameters using the
+   `.option("query", "SQL_STRING")` with named (`@param`) or positional (`?`) parameters.
+2. Specify the parameter values using dedicated options:
+  * **Named Parameters:** Use options prefixed with `NamedParameters.`. The
+    parameter name follows the prefix (case-insensitive).
+    * Format: `.option("NamedParameters.<parameter_name>", "TYPE:value")`
+    * Example: `.option("NamedParameters.corpus", "STRING:romeoandjuliet")`
+  * **Positional Parameters:** Use options prefixed with
+    `PositionalParameters.`. The 1-based index follows the prefix.
+    * Format:
+      `.option("PositionalParameters.<parameter_index>", "TYPE:value")`
+    * Example: `.option("PositionalParameters.1", "STRING:romeoandjuliet")`
+
+The `TYPE` in the `TYPE:value` string specifies the BigQuery Standard SQL data
+type. Supported types currently include: `BOOL`, `INT64`, `FLOAT64`, `NUMERIC`,
+`STRING`, `DATE`, `DATETIME`, `JSON`, `TIME`, `GEOGRAPHY`, `TIMESTAMP`.
+
+`ARRAY` and `STRUCT` types are not supported as parameters at this time.
+
 ### Reading From Views
 
 The connector has a preliminary support for reading from
@@ -1169,7 +1195,7 @@ using the following code:
 ```python
 from pyspark.sql import SparkSession
 spark = SparkSession.builder \
-  .config("spark.jars.packages", "com.google.cloud.spark:spark-bigquery-with-dependencies_2.12:0.42.1") \
+  .config("spark.jars.packages", "com.google.cloud.spark:spark-bigquery-with-dependencies_2.12:0.42.3") \
   .getOrCreate()
 df = spark.read.format("bigquery") \
   .load("dataset.table")
@@ -1178,15 +1204,15 @@ df = spark.read.format("bigquery") \
 **Scala:**
 ```scala
 val spark = SparkSession.builder
-.config("spark.jars.packages", "com.google.cloud.spark:spark-bigquery-with-dependencies_2.12:0.42.1")
+.config("spark.jars.packages", "com.google.cloud.spark:spark-bigquery-with-dependencies_2.12:0.42.3")
 .getOrCreate()
 val df = spark.read.format("bigquery")
 .load("dataset.table")
 ```
 
 In case Spark cluster is using Scala 2.12 (it's optional for Spark 2.4.x,
 mandatory in 3.0.x), then the relevant package is
-com.google.cloud.spark:spark-bigquery-with-dependencies_**2.12**:0.42.1. In
+com.google.cloud.spark:spark-bigquery-with-dependencies_**2.12**:0.42.3. In
 order to know which Scala version is used, please run the following code:
 
 **Python:**
@@ -1210,14 +1236,14 @@ To include the connector in your project:
 <dependency>
   <groupId>com.google.cloud.spark</groupId>
   <artifactId>spark-bigquery-with-dependencies_${scala.version}</artifactId>
-  <version>0.42.1</version>
+  <version>0.42.3</version>
 </dependency>
 ```
 
 ### SBT
 
 ```sbt
-libraryDependencies += "com.google.cloud.spark" %% "spark-bigquery-with-dependencies" % "0.42.1"
+libraryDependencies += "com.google.cloud.spark" %% "spark-bigquery-with-dependencies" % "0.42.3"
 ```
 
 ### Connector metrics and how to view them
@@ -1262,7 +1288,7 @@ word-break:break-word
 </table>
 
 
-**Note:** To use the metrics in the Spark UI page, you need to make sure the `spark-bigquery-metrics-0.42.1.jar` is the class path before starting the history-server and the connector version is `spark-3.2` or above.
+**Note:** To use the metrics in the Spark UI page, you need to make sure the `spark-bigquery-metrics-0.42.3.jar` is the class path before starting the history-server and the connector version is `spark-3.2` or above.
 
 ## FAQ