| /* |
| * 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. |
| * |
| */ |
| |
| /* |
| Example of an upsert for a partitioned merge on read table with incremental materialization using merge strategy. |
| */ |
| {{ config( |
| materialized='incremental', |
| file_format='hudi', |
| incremental_strategy='merge', |
| options={ |
| 'type': 'mor', |
| 'primaryKey': 'id', |
| 'precombineKey': 'ts', |
| }, |
| unique_key='id', |
| partition_by='datestr', |
| pre_hook=["set spark.sql.datetime.java8API.enabled=false;"], |
| ) |
| }} |
| |
| select id, name, current_timestamp() as ts, current_date as datestr |
| from {{ ref('hudi_upsert_table') }} |