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ASF GitHub Bot commented on FLINK-6039: --------------------------------------- Github user fhueske commented on a diff in the pull request: https://github.com/apache/flink/pull/3529#discussion_r105856276 --- Diff: flink-core/src/main/java/org/apache/flink/types/Row.java --- @@ -66,10 +66,11 @@ public int getArity() { * Gets the field at the specified position. * @param pos The position of the field, 0-based. * @return The field at the specified position. - * @throws IndexOutOfBoundsException Thrown, if the position is negative, or equal to, or larger than the number of fields. + * Return null if the position is equal to, or larger than the number of fields. + * @throws IndexOutOfBoundsException Thrown, if the position is negative. */ public Object getField(int pos) { - return fields[pos]; + return pos >= fields.length ? null : fields[pos]; --- End diff -- This will cause overhead for basically every operation and should not be done to support a minor feature. If you expect that you might receive a `Row` which violates the expected schema and you want to avoid an `IndexOutOfBoundsException` you should rather check `getArity()`. > Row of TableFunction should support flexible number of fields > ------------------------------------------------------------- > > Key: FLINK-6039 > URL: https://issues.apache.org/jira/browse/FLINK-6039 > Project: Flink > Issue Type: Improvement > Reporter: Zhuoluo Yang > Assignee: Zhuoluo Yang > > In actual world, especially while processing logs with TableFunction. The > formats of the logs in actual world are flexible. Thus, the number of fields > should not be fixed. > For examples, we should make the three following types of of TableFunction > work. > {code} > // Test for incomplete row > class TableFunc4 extends TableFunction[Row] { > def eval(str: String): Unit = { > if (str.contains("#")) { > str.split("#").foreach({ s => > val row = new Row(3) > row.setField(0, s) // And we only set values for one column > collect(row) > }) > } > } > override def getResultType: TypeInformation[Row] = { > new RowTypeInfo(BasicTypeInfo.STRING_TYPE_INFO, > BasicTypeInfo.INT_TYPE_INFO, > BasicTypeInfo.INT_TYPE_INFO) > } > } > // Test for incomplete row > class TableFunc5 extends TableFunction[Row] { > def eval(str: String): Unit = { > if (str.contains("#")) { > str.split("#").foreach({ s => > val row = new Row(1) // ResultType is three columns, we have only > one here > row.setField(0, s) > collect(row) > }) > } > } > override def getResultType: TypeInformation[Row] = { > new RowTypeInfo(BasicTypeInfo.STRING_TYPE_INFO, > BasicTypeInfo.INT_TYPE_INFO, > BasicTypeInfo.INT_TYPE_INFO) > } > } > // Test for overflow row > class TableFunc6 extends TableFunction[Row] { > def eval(str: String): Unit = { > if (str.contains("#")) { > str.split("#").foreach({ s => > val row = new Row(5) // ResultType is two columns, we have five > columns here > row.setField(0, s) > row.setField(1, s.length) > row.setField(2, s.length) > row.setField(3, s.length) > row.setField(4, s.length) > collect(row) > }) > } > } > override def getResultType: TypeInformation[Row] = { > new RowTypeInfo(BasicTypeInfo.STRING_TYPE_INFO, > BasicTypeInfo.INT_TYPE_INFO) > } > } > {code} > Actually, the TableFunc4 and TableFunc6 has already worked correctly with > current version. This issue will make TableFunc5 works. -- This message was sent by Atlassian JIRA (v6.3.15#6346)