SaketaChalamchala commented on code in PR #5016: URL: https://github.com/apache/ozone/pull/5016#discussion_r1267189813
########## hadoop-ozone/dist/src/main/compose/ozone/test-iceberg.sh: ########## @@ -0,0 +1,67 @@ +#!/usr/bin/env bash +# 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. + +#suite:integration + +COMPOSE_DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null 2>&1 && pwd )" +export COMPOSE_DIR + +export SECURITY_ENABLED=false +export OZONE_REPLICATION_FACTOR=3 +export COMPOSE_FILE=docker-compose.yaml:iceberg.yaml:trino.yaml + +# shellcheck source=/dev/null +source "$COMPOSE_DIR/../testlib.sh" + +start_docker_env 3 + +export BUCKET=warehouse + +execute_command_in_container s3g ozone sh bucket create --layout OBJECT_STORE /s3v/${BUCKET} + +execute_command_in_container spark-iceberg spark-shell <<EOF +import org.apache.spark.sql.types._ +import org.apache.spark.sql.Row +val schema = StructType( Array( + StructField("vendor_id", LongType,true), + StructField("trip_id", LongType,true), + StructField("trip_distance", FloatType,true), + StructField("fare_amount", DoubleType,true), + StructField("store_and_fwd_flag", StringType,true) +)) +spark.createDataFrame(spark.sparkContext.emptyRDD[Row],schema) + .writeTo("demo.nyc.taxis").create() + +val data = Seq( + Row(1: Long, 1000371: Long, 1.8f: Float, 15.32: Double, "N": String), + Row(2: Long, 1000372: Long, 2.5f: Float, 22.15: Double, "N": String), + Row(2: Long, 1000373: Long, 0.9f: Float, 9.01: Double, "N": String), + Row(1: Long, 1000374: Long, 8.4f: Float, 42.13: Double, "Y": String) +) +spark.createDataFrame(spark.sparkContext.parallelize(data), schema) + .writeTo("demo.nyc.taxis").append() + +spark.table("demo.nyc.taxis").show() +EOF + +execute_command_in_container trino trino <<EOF +DESCRIBE iceberg.nyc.taxis; +INSERT INTO iceberg.nyc.taxis VALUES (2, 1000375, 7.2, 555, 'N'); +SELECT * FROM iceberg.nyc.taxis; +EOF Review Comment: Thanks for the patch @adoroszlai. If this is going to be an example of Trino + Iceberg, would it make sense to remove the dependency on spark and create the table in Trino like below? ``` CREATE TABLE IF NOT EXISTS iceberg.nyc.taxis ( vendor_id bigint, trip_id bigint, trip_distance double, fare_amount double, store_and_fwd_flag varchar ) WITH ( format = 'PARQUET' location = 's3://warehouse/nyc/taxis'); INSERT INTO iceberg.nyc.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'); ``` -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected] --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
