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Posted to issues@spark.apache.org by "Kazuaki Ishizaki (JIRA)" <ji...@apache.org> on 2017/03/31 18:38:41 UTC

[jira] [Commented] (SPARK-20176) Spark Dataframe UDAF issue

    [ https://issues.apache.org/jira/browse/SPARK-20176?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15951473#comment-15951473 ] 

Kazuaki Ishizaki commented on SPARK-20176:
------------------------------------------

Could you please post the program that can reproduce this issue?

> Spark Dataframe UDAF issue
> --------------------------
>
>                 Key: SPARK-20176
>                 URL: https://issues.apache.org/jira/browse/SPARK-20176
>             Project: Spark
>          Issue Type: IT Help
>          Components: Spark Core
>    Affects Versions: 2.0.2
>            Reporter: Dinesh Man Amatya
>
> Getting following error in custom UDAF
> Error while decoding: java.util.concurrent.ExecutionException: java.lang.Exception: failed to compile: org.codehaus.commons.compiler.CompileException: File 'generated.java', Line 58, Column 33: Incompatible expression types "boolean" and "java.lang.Boolean"
> /* 001 */ public java.lang.Object generate(Object[] references) {
> /* 002 */   return new SpecificSafeProjection(references);
> /* 003 */ }
> /* 004 */
> /* 005 */ class SpecificSafeProjection extends org.apache.spark.sql.catalyst.expressions.codegen.BaseProjection {
> /* 006 */
> /* 007 */   private Object[] references;
> /* 008 */   private MutableRow mutableRow;
> /* 009 */   private Object[] values;
> /* 010 */   private Object[] values1;
> /* 011 */   private org.apache.spark.sql.types.StructType schema;
> /* 012 */   private org.apache.spark.sql.types.StructType schema1;
> /* 013 */
> /* 014 */
> /* 015 */   public SpecificSafeProjection(Object[] references) {
> /* 016 */     this.references = references;
> /* 017 */     mutableRow = (MutableRow) references[references.length - 1];
> /* 018 */
> /* 019 */
> /* 020 */     this.schema = (org.apache.spark.sql.types.StructType) references[0];
> /* 021 */     this.schema1 = (org.apache.spark.sql.types.StructType) references[1];
> /* 022 */   }
> /* 023 */
> /* 024 */   public java.lang.Object apply(java.lang.Object _i) {
> /* 025 */     InternalRow i = (InternalRow) _i;
> /* 026 */
> /* 027 */     values = new Object[2];
> /* 028 */
> /* 029 */     boolean isNull2 = i.isNullAt(0);
> /* 030 */     UTF8String value2 = isNull2 ? null : (i.getUTF8String(0));
> /* 031 */
> /* 032 */     boolean isNull1 = isNull2;
> /* 033 */     final java.lang.String value1 = isNull1 ? null : (java.lang.String) value2.toString();
> /* 034 */     isNull1 = value1 == null;
> /* 035 */     if (isNull1) {
> /* 036 */       values[0] = null;
> /* 037 */     } else {
> /* 038 */       values[0] = value1;
> /* 039 */     }
> /* 040 */
> /* 041 */     boolean isNull5 = i.isNullAt(1);
> /* 042 */     InternalRow value5 = isNull5 ? null : (i.getStruct(1, 2));
> /* 043 */     boolean isNull3 = false;
> /* 044 */     org.apache.spark.sql.Row value3 = null;
> /* 045 */     if (!false && isNull5) {
> /* 046 */
> /* 047 */       final org.apache.spark.sql.Row value6 = null;
> /* 048 */       isNull3 = true;
> /* 049 */       value3 = value6;
> /* 050 */     } else {
> /* 051 */
> /* 052 */       values1 = new Object[2];
> /* 053 */
> /* 054 */       boolean isNull10 = i.isNullAt(1);
> /* 055 */       InternalRow value10 = isNull10 ? null : (i.getStruct(1, 2));
> /* 056 */
> /* 057 */       boolean isNull9 = isNull10 || false;
> /* 058 */       final boolean value9 = isNull9 ? false : (Boolean) value10.isNullAt(0);
> /* 059 */       boolean isNull8 = false;
> /* 060 */       double value8 = -1.0;
> /* 061 */       if (!isNull9 && value9) {
> /* 062 */
> /* 063 */         final double value12 = -1.0;
> /* 064 */         isNull8 = true;
> /* 065 */         value8 = value12;
> /* 066 */       } else {
> /* 067 */
> /* 068 */         boolean isNull14 = i.isNullAt(1);
> /* 069 */         InternalRow value14 = isNull14 ? null : (i.getStruct(1, 2));
> /* 070 */         boolean isNull13 = isNull14;
> /* 071 */         double value13 = -1.0;
> /* 072 */
> /* 073 */         if (!isNull14) {
> /* 074 */
> /* 075 */           if (value14.isNullAt(0)) {
> /* 076 */             isNull13 = true;
> /* 077 */           } else {
> /* 078 */             value13 = value14.getDouble(0);
> /* 079 */           }
> /* 080 */
> /* 081 */         }
> /* 082 */         isNull8 = isNull13;
> /* 083 */         value8 = value13;
> /* 084 */       }
> /* 085 */       if (isNull8) {
> /* 086 */         values1[0] = null;
> /* 087 */       } else {
> /* 088 */         values1[0] = value8;
> /* 089 */       }
> /* 090 */
> /* 091 */       boolean isNull17 = i.isNullAt(1);
> /* 092 */       InternalRow value17 = isNull17 ? null : (i.getStruct(1, 2));
> /* 093 */
> /* 094 */       boolean isNull16 = isNull17 || false;
> /* 095 */       final boolean value16 = isNull16 ? false : (Boolean) value17.isNullAt(1);
> /* 096 */       boolean isNull15 = false;
> /* 097 */       double value15 = -1.0;
> /* 098 */       if (!isNull16 && value16) {
> /* 099 */
> /* 100 */         final double value19 = -1.0;
> /* 101 */         isNull15 = true;
> /* 102 */         value15 = value19;
> /* 103 */       } else {
> /* 104 */
> /* 105 */         boolean isNull21 = i.isNullAt(1);
> /* 106 */         InternalRow value21 = isNull21 ? null : (i.getStruct(1, 2));
> /* 107 */         boolean isNull20 = isNull21;
> /* 108 */         double value20 = -1.0;
> /* 109 */
> /* 110 */         if (!isNull21) {
> /* 111 */
> /* 112 */           if (value21.isNullAt(1)) {
> /* 113 */             isNull20 = true;
> /* 114 */           } else {
> /* 115 */             value20 = value21.getDouble(1);
> /* 116 */           }
> /* 117 */
> /* 118 */         }
> /* 119 */         isNull15 = isNull20;
> /* 120 */         value15 = value20;
> /* 121 */       }
> /* 122 */       if (isNull15) {
> /* 123 */         values1[1] = null;
> /* 124 */       } else {
> /* 125 */         values1[1] = value15;
> /* 126 */       }
> /* 127 */
> /* 128 */       final org.apache.spark.sql.Row value7 = new org.apache.spark.sql.catalyst.expressions.GenericRowWithSchema(values1, schema);
> /* 129 */       isNull3 = false;
> /* 130 */       value3 = value7;
> /* 131 */     }
> /* 132 */     if (isNull3) {
> /* 133 */       values[1] = null;
> /* 134 */     } else {
> /* 135 */       values[1] = value3;
> /* 136 */     }
> /* 137 */
> /* 138 */     final org.apache.spark.sql.Row value = new org.apache.spark.sql.catalyst.expressions.GenericRowWithSchema(values, schema1);
> /* 139 */     if (false) {
> /* 140 */       mutableRow.setNullAt(0);
> /* 141 */     } else {
> /* 142 */
> /* 143 */       mutableRow.update(0, value);
> /* 144 */     }
> /* 145 */
> /* 146 */     return mutableRow;
> /* 147 */   }
> /* 148 */ }
> createexternalrow(input[0, string, true].toString, if (isnull(input[1, struct<totalRxPaid:double,totalRxAllowedAmt:double>, true])) null else createexternalrow(if (input[1, struct<totalRxPaid:double,totalRxAllowedAmt:double>, true].isNullAt) null else input[1, struct<totalRxPaid:double,totalRxAllowedAmt:double>, true].totalRxPaid, if (input[1, struct<totalRxPaid:double,totalRxAllowedAmt:double>, true].isNullAt) null else input[1, struct<totalRxPaid:double,totalRxAllowedAmt:double>, true].totalRxAllowedAmt, StructField(totalRxPaid,DoubleType,true), StructField(totalRxAllowedAmt,DoubleType,true)), StructField(dw_member_id,StringType,true), StructField(test,StructType(StructField(totalRxPaid,DoubleType,true), StructField(totalRxAllowedAmt,DoubleType,true)),true))
> :- input[0, string, true].toString
> :  +- input[0, string, true]
> +- if (isnull(input[1, struct<totalRxPaid:double,totalRxAllowedAmt:double>, true])) null else createexternalrow(if (input[1, struct<totalRxPaid:double,totalRxAllowedAmt:double>, true].isNullAt) null else input[1, struct<totalRxPaid:double,totalRxAllowedAmt:double>, true].totalRxPaid, if (input[1, struct<totalRxPaid:double,totalRxAllowedAmt:double>, true].isNullAt) null else input[1, struct<totalRxPaid:double,totalRxAllowedAmt:double>, true].totalRxAllowedAmt, StructField(totalRxPaid,DoubleType,true), StructField(totalRxAllowedAmt,DoubleType,true))
>    :- isnull(input[1, struct<totalRxPaid:double,totalRxAllowedAmt:double>, true])
>    :  +- input[1, struct<totalRxPaid:double,totalRxAllowedAmt:double>, true]
>    :- null
>    +- createexternalrow(if (input[1, struct<totalRxPaid:double,totalRxAllowedAmt:double>, true].isNullAt) null else input[1, struct<totalRxPaid:double,totalRxAllowedAmt:double>, true].totalRxPaid, if (input[1, struct<totalRxPaid:double,totalRxAllowedAmt:double>, true].isNullAt) null else input[1, struct<totalRxPaid:double,totalRxAllowedAmt:double>, true].totalRxAllowedAmt, StructField(totalRxPaid,DoubleType,true), StructField(totalRxAllowedAmt,DoubleType,true))
>       :- if (input[1, struct<totalRxPaid:double,totalRxAllowedAmt:double>, true].isNullAt) null else input[1, struct<totalRxPaid:double,totalRxAllowedAmt:double>, true].totalRxPaid
>       :  :- input[1, struct<totalRxPaid:double,totalRxAllowedAmt:double>, true].isNullAt
>       :  :  :- input[1, struct<totalRxPaid:double,totalRxAllowedAmt:double>, true]
>       :  :  +- 0
>       :  :- null
>       :  +- input[1, struct<totalRxPaid:double,totalRxAllowedAmt:double>, true].totalRxPaid
>       :     +- input[1, struct<totalRxPaid:double,totalRxAllowedAmt:double>, true]
>       +- if (input[1, struct<totalRxPaid:double,totalRxAllowedAmt:double>, true].isNullAt) null else input[1, struct<totalRxPaid:double,totalRxAllowedAmt:double>, true].totalRxAllowedAmt
>          :- input[1, struct<totalRxPaid:double,totalRxAllowedAmt:double>, true].isNullAt
>          :  :- input[1, struct<totalRxPaid:double,totalRxAllowedAmt:double>, true]
>          :  +- 1
>          :- null
>          +- input[1, struct<totalRxPaid:double,totalRxAllowedAmt:double>, true].totalRxAllowedAmt
>             +- input[1, struct<totalRxPaid:double,totalRxAllowedAmt:double>, true]



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