| """ |
| 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. |
| """ |
| from pyspark.sql.functions import udf |
| from pyspark.sql.types import StructType, StructField, IntegerType |
| |
| from amaterasu.pyspark.runtime import AmaContext |
| |
| ama_context = AmaContext.builder().build() |
| |
| def pow(num): |
| return num * num |
| |
| |
| pow_udf = udf(pow, IntegerType()) |
| a = [[1], [2], [3], [4]] |
| schema = StructType([ |
| StructField('number', IntegerType(), True) |
| ]) |
| input_df = ama_context.spark.createDataFrame(a, schema) |
| sdf = input_df.withColumn("pow_number", pow_udf("number")) |
| |
| ama_context.persist('odd', sdf, overwrite=True) |