Alix Métivier created SPARK-28732: ------------------------------------- Summary: org.apache.spark.sql.catalyst.expressions.codegen.CodeGenerator - failed to compile: org.codehaus.commons.compiler.CompileException: File 'generated.java' when storing the result of a count aggregation in an integer Key: SPARK-28732 URL: https://issues.apache.org/jira/browse/SPARK-28732 Project: Spark Issue Type: Bug Components: SQL Affects Versions: 2.4.0, 2.3.0, 2.2.0, 2.1.0 Reporter: Alix Métivier
I am using agg function on a dataset, and i want to count the number of lines upon grouping columns. I would like to store the result of this count in an integer, but it fails with this output : [ERROR]: org.apache.spark.sql.catalyst.expressions.codegen.CodeGenerator - failed to compile: org.codehaus.commons.compiler.CompileException: File 'generated.java', Line 89, Column 53: No applicable constructor/method found for actual parameters "long"; candidates are: "java.lang.Integer(int)", "java.lang.Integer(java.lang.String)" Here is the line 89 and a few others to understand : /* 085 */ long value13 = i.getLong(5); /* 086 */ argValue4 = value13; /* 087 */ /* 088 */ /* 089 */ final java.lang.Integer value12 = false ? null : new java.lang.Integer(argValue4); As per Integer documentation, there is not constructor for the type Long, so this is why the generated code fails. Here is my code : org.apache.spark.sql.Dataset<row2Struct> ds_row2 = ds_conntAggregateRow_1_Out_1 .groupBy(org.apache.spark.sql.functions.col("n_name").as("n_nameN"), org.apache.spark.sql.functions.col("o_year").as("o_yearN")) .agg(org.apache.spark.sql.functions.count("n_name").as("countN"), .as(org.apache.spark.sql.Encoders.bean(row2Struct.class)); row2Struct class is composed of n_nameN: String, o_yearN: String, countN: Int If countN is a Long, code above wont fail If it is a Long, is works in 1.6 and 2.0, but fails on version 2.1+ -- This message was sent by Atlassian JIRA (v7.6.14#76016) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org