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new 67da720 [SPARK-53933] Add `Apache Iceberg` example
67da720 is described below
commit 67da720eaf7df2298858747a4aa3bae87528141d
Author: Dongjoon Hyun <[email protected]>
AuthorDate: Wed Oct 15 23:27:47 2025 -0700
[SPARK-53933] Add `Apache Iceberg` example
### What changes were proposed in this pull request?
This PR aims to add `Apache Iceberg` example.
### Why are the changes needed?
To provide an working example of `Apache Spark 4.0.1` and `Apache Iceberg
1.10.0`.
1. Prepare the storage
```
$ kubectl apply -f examples/localstack.ym
```
2. Launch `Spark Connect Server` with `Apache Iceberg` setting.
```
$ kubectl apply -f examples/spark-connect-server-iceberg.yaml
```
3. Setup port-forwarding to test
```
$ kubectl port-forward spark-connect-server-iceberg-0-driver 15002
```
4. Test with `Apache Iceberg Spark Quickstart` guideline.
- https://iceberg.apache.org/spark-quickstart/
```scala
$ bin/spark-connect-shell --remote sc://localhost:15002
scala> sql("""CREATE TABLE taxis(vendor_id bigint, trip_id bigint,
trip_distance float, fare_amount double, store_and_fwd_flag string) PARTITIONED
BY (vendor_id);""").show()
scala> sql("""INSERT INTO taxis VALUES (1, 1000371, 1.8, 15.32, 'N'), (2,
1000372, 2.5, 22.15, 'N'), (2, 1000373, 0.9, 9.01, 'N'), (1, 1000374, 8.4,
42.13, 'Y');""").show()
scala> sql("SELECT * FROM taxis").show(false)
+---------+-------+-------------+-----------+------------------+
|vendor_id|trip_id|trip_distance|fare_amount|store_and_fwd_flag|
+---------+-------+-------------+-----------+------------------+
|1 |1000374|8.4 |42.13 |Y |
|1 |1000371|1.8 |15.32 |N |
|2 |1000372|2.5 |22.15 |N |
|2 |1000373|0.9 |9.01 |N |
+---------+-------+-------------+-----------+------------------+
scala> sql("SELECT * FROM taxis.history").show(false)
+-----------------------+-------------------+---------+-------------------+
|made_current_at |snapshot_id |parent_id|is_current_ancestor|
+-----------------------+-------------------+---------+-------------------+
|2025-10-16 03:53:04.063|6463217948421571140|NULL |true |
+-----------------------+-------------------+---------+-------------------+
scala> sql("SELECT * FROM taxis VERSION AS OF
6463217948421571140").show(false)
+---------+-------+-------------+-----------+------------------+
|vendor_id|trip_id|trip_distance|fare_amount|store_and_fwd_flag|
+---------+-------+-------------+-----------+------------------+
|1 |1000374|8.4 |42.13 |Y |
|1 |1000371|1.8 |15.32 |N |
|2 |1000372|2.5 |22.15 |N |
|2 |1000373|0.9 |9.01 |N |
+---------+-------+-------------+-----------+------------------+
```
5. Check the data in the storage.
```
rootlocalstack:/opt/code/localstack# awslocal s3 ls s3://warehouse/
--recursive
2025-10-16 03:53:03 1545
taxis/data/vendor_id=1/00000-3-749fe2e5-bbe3-4f0e-b976-a21749550705-0-00002.parquet
2025-10-16 03:53:03 1590
taxis/data/vendor_id=2/00000-3-749fe2e5-bbe3-4f0e-b976-a21749550705-0-00001.parquet
2025-10-16 03:53:04 7559
taxis/metadata/9f629d40-ce91-4822-aeee-283d53ec5ef6-m0.avro
2025-10-16 03:53:04 4446
taxis/metadata/snap-6463217948421571140-1-9f629d40-ce91-4822-aeee-283d53ec5ef6.avro
2025-10-16 03:52:47 1006 taxis/metadata/v1.metadata.json
2025-10-16 03:53:04 1970 taxis/metadata/v2.metadata.json
2025-10-16 03:53:04 1 taxis/metadata/version-hint.text
```
### Does this PR introduce _any_ user-facing change?
No.
### How was this patch tested?
Manually tested.
### Was this patch authored or co-authored using generative AI tooling?
No.
Closes #394 from dongjoon-hyun/SPARK-53933.
Authored-by: Dongjoon Hyun <[email protected]>
Signed-off-by: Dongjoon Hyun <[email protected]>
---
examples/localstack.yml | 1 +
examples/spark-connect-server-iceberg.yaml | 45 ++++++++++++++++++++++++++++++
2 files changed, 46 insertions(+)
diff --git a/examples/localstack.yml b/examples/localstack.yml
index 1c3088b..841ff45 100644
--- a/examples/localstack.yml
+++ b/examples/localstack.yml
@@ -41,6 +41,7 @@ spec:
awslocal s3 mb s3://spark-events;
awslocal s3 mb s3://ingest;
awslocal s3 mb s3://data;
+ awslocal s3 mb s3://warehouse;
awslocal s3 cp /opt/code/localstack/Makefile s3://data/
---
apiVersion: v1
diff --git a/examples/spark-connect-server-iceberg.yaml
b/examples/spark-connect-server-iceberg.yaml
new file mode 100644
index 0000000..6f54c63
--- /dev/null
+++ b/examples/spark-connect-server-iceberg.yaml
@@ -0,0 +1,45 @@
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor license agreements. See the NOTICE file distributed with
+# this work for additional information regarding copyright ownership.
+# The ASF licenses this file to You under the Apache License, Version 2.0
+# (the "License"); you may not use this file except in compliance with
+# the License. You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+apiVersion: spark.apache.org/v1
+kind: SparkApplication
+metadata:
+ name: spark-connect-server-iceberg
+spec:
+ mainClass: "org.apache.spark.sql.connect.service.SparkConnectServer"
+ sparkConf:
+ spark.dynamicAllocation.enabled: "true"
+ spark.dynamicAllocation.maxExecutors: "3"
+ spark.dynamicAllocation.minExecutors: "3"
+ spark.dynamicAllocation.shuffleTracking.enabled: "true"
+ spark.hadoop.fs.s3a.access.key: "test"
+ spark.hadoop.fs.s3a.endpoint: "http://localstack:4566";
+ spark.hadoop.fs.s3a.path.style.access: "true"
+ spark.hadoop.fs.s3a.secret.key: "test"
+ spark.jars.ivy: "/tmp/.ivy2.5.2"
+ spark.jars.packages:
"org.apache.hadoop:hadoop-aws:3.4.1,org.apache.iceberg:iceberg-spark-runtime-4.0_2.13:1.10.0"
+ spark.kubernetes.authenticate.driver.serviceAccountName: "spark"
+ spark.kubernetes.container.image: "apache/spark:4.0.1"
+ spark.kubernetes.driver.pod.excludedFeatureSteps:
"org.apache.spark.deploy.k8s.features.KerberosConfDriverFeatureStep"
+ spark.kubernetes.executor.podNamePrefix: "spark-connect-server-iceberg"
+ spark.scheduler.mode: "FAIR"
+ spark.sql.catalog.s3.type: "hadoop"
+ spark.sql.catalog.s3.warehouse: "s3a://warehouse"
+ spark.sql.catalog.s3: "org.apache.iceberg.spark.SparkCatalog"
+ spark.sql.defaultCatalog: "s3"
+ spark.sql.extensions:
"org.apache.iceberg.spark.extensions.IcebergSparkSessionExtensions"
+ applicationTolerations:
+ resourceRetainPolicy: OnFailure
+ runtimeVersions:
+ sparkVersion: "4.0.1"
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