feat: add iceberg with spark

Signed-off-by: kjuulh <contact@kjuulh.io>
This commit is contained in:
Kasper Juul Hermansen 2024-08-05 23:23:34 +02:00
parent a0be74c4d8
commit f345a956c9
Signed by: kjuulh
GPG Key ID: D85D7535F18F35FA
6 changed files with 112 additions and 0 deletions

8
docker-exec.sh Executable file
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@ -0,0 +1,8 @@
#!/bin/zsh
docker compose \
-f templates/docker-compose.rising-wave.yaml \
-f templates/docker-compose.iceberg.yaml \
-f templates/docker-compose.clickhouse.yaml \
-f templates/docker-compose.yaml \
$@

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@ -0,0 +1,15 @@
CREATE SINK clicks_iceberg_sink
FROM
clicks WITH (
connector = 'iceberg',
type = 'upsert',
primary_key = 'user_id, ad_id, click_timestamp, impression_timestamp',
warehouse.path = 's3://hummock001/iceberg-data',
s3.endpoint = 'http://minio-0:9301',
s3.access.key = 'hummockadmin',
s3.secret.key = 'hummockadmin',
s3.region = 'us-east-1',
catalog.type = 'storage',
database.name='demo_db',
table.name='demo_table'
);

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@ -11,3 +11,12 @@ where
and impression_timestamp + interval '1' minute >= click_timestamp and impression_timestamp + interval '1' minute >= click_timestamp
group by group by
ad_id; ad_id;
create materialized view clicks as
select
user_id,
ad_id,
click_timestamp,
impression_timestamp
from
ad_source;

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x-spark-common:
&spark-air
build:
context: .
dockerfile: spark.Dockerfile
target: spark
services:
spark:
<<: *spark-air
environment:
- SPARK_MODE=master
ports:
- '7077:7077'
configs:
- source: run_sql
target: /spark-script/run_sql.sh
mode: 0755
- source: create_table
target: /spark-script/create-table.sql
mode: 0755
- source: query_table
target: /spark-script/query-table.sql
mode: 0755
spark-worker:
<<: *spark-air
environment:
- SPARK_MODE=worker
- SPARK_MASTER_URL=spark://spark:7077
- SPARK_WORKER_MEMORY=1G
- SPARK_WORKER_CORES=1
configs:
run_sql:
content: |
set -ex
spark-sql --packages org.apache.iceberg:iceberg-spark-runtime-3.2_2.12:1.1.0,org.apache.hadoop:hadoop-aws:3.3.2\
--master spark://spark:7077 \
--conf spark.sql.catalog.demo=org.apache.iceberg.spark.SparkCatalog \
--conf spark.sql.catalog.demo.type=hadoop \
--conf spark.sql.catalog.demo.warehouse=s3a://hummock001/iceberg-data \
--conf spark.sql.catalog.demo.hadoop.fs.s3a.endpoint=http://minio-0:9301 \
--conf spark.sql.catalog.demo.hadoop.fs.s3a.path.style.access=true \
--conf spark.sql.catalog.demo.hadoop.fs.s3a.access.key=hummockadmin \
--conf spark.sql.catalog.demo.hadoop.fs.s3a.secret.key=hummockadmin \
--conf spark.sql.defaultCatalog=demo \
-f /spark-script/$1.sql
query_table:
content: |
SELECT * from demo.demo_db.demo_table;
create_table:
content: |
drop table if exists demo.demo_db.demo_table;
CREATE TABLE demo.demo_db.demo_table
(
user_id bigint,
ad_id bigint,
click_timestamp timestamp,
impression_timestamp timestamp
) TBLPROPERTIES ('format-version'='2');
name: iceberg

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@ -58,6 +58,7 @@ services:
target: /risingwave.toml target: /risingwave.toml
environment: environment:
RUST_BACKTRACE: "1" RUST_BACKTRACE: "1"
RUST_LOG: debug
# If ENABLE_TELEMETRY is not set, telemetry will start by default # If ENABLE_TELEMETRY is not set, telemetry will start by default
ENABLE_TELEMETRY: true ENABLE_TELEMETRY: true
RW_TELEMETRY_TYPE: "docker-compose" RW_TELEMETRY_TYPE: "docker-compose"

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FROM bitnami/spark:3.3 as spark
USER root
RUN apt-get update && \
apt-get install -y curl && \
apt-get clean;
USER 1001
RUN rm -r /opt/bitnami/spark/jars && \
curl https://archive.apache.org/dist/spark/spark-3.3.1/spark-3.3.1-bin-hadoop3.tgz | \
tar --extract --gzip --strip=1 --directory /opt/bitnami/spark/ spark-3.3.1-bin-hadoop3/jars/
RUN curl https://repo1.maven.org/maven2/com/amazonaws/aws-java-sdk-bundle/1.12.231/aws-java-sdk-bundle-1.12.231.jar --output /opt/bitnami/spark/jars/aws-java-sdk-bundle-1.12.231.jar
RUN curl https://repo1.maven.org/maven2/org/apache/hadoop/hadoop-aws/3.3.1/hadoop-aws-3.3.1.jar --output /opt/bitnami/spark/jars/hadoop-aws-3.3.1.jar
RUN curl https://repo1.maven.org/maven2/net/java/dev/jets3t/jets3t/0.9.4/jets3t-0.9.4.jar --output /opt/bitnami/spark/jars/jets3t-0.9.4.jar