Github user paul-rogers commented on a diff in the pull request:

    https://github.com/apache/drill/pull/581#discussion_r95871016
  
    --- Diff: 
exec/java-exec/src/main/codegen/templates/DateIntervalFunctionTemplates/SqlToDateTypeFunctions.java
 ---
    @@ -0,0 +1,77 @@
    +/**
    + * 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.
    + */
    +
    +import org.apache.drill.exec.expr.annotations.Workspace;
    +
    +<@pp.dropOutputFile/>
    +
    +<#list dateIntervalFunc.dates as type>
    +
    +<@pp.changeOutputFile name = 
"/org/apache/drill/exec/expr/fn/impl/SqlTo${type}.java"/>
    +
    +<#include "/@includes/license.ftl"/>
    +
    +package org.apache.drill.exec.expr.fn.impl;
    +
    +import org.apache.drill.exec.expr.DrillSimpleFunc;
    +import org.apache.drill.exec.expr.annotations.FunctionTemplate;
    +import 
org.apache.drill.exec.expr.annotations.FunctionTemplate.NullHandling;
    +import org.apache.drill.exec.expr.annotations.Output;
    +import org.apache.drill.exec.expr.annotations.Workspace;
    +import org.apache.drill.exec.expr.annotations.Param;
    +import org.apache.drill.exec.expr.holders.*;
    +
    +/*
    + * This class is generated using freemarker and the ${.template_name} 
template.
    + */
    +
    +@FunctionTemplate(name = "sql_to_${type?lower_case}",
    +                  scope = FunctionTemplate.FunctionScope.SIMPLE,
    +                  nulls = NullHandling.NULL_IF_NULL)
    +public class SqlTo${type} implements DrillSimpleFunc {
    +
    +    @Param  VarCharHolder left;
    +    @Param  VarCharHolder right;
    +    @Workspace org.joda.time.format.DateTimeFormatter format;
    +    @Output ${type}Holder out;
    +
    +    public void setup() {
    +        // Get the desired output format
    +        byte[] buf = new byte[right.end - right.start];
    +        right.buffer.getBytes(right.start, buf, 0, right.end - 
right.start);
    +        String formatString = new String(buf, 
com.google.common.base.Charsets.UTF_8);
    +        String pattern = 
org.apache.drill.common.expression.fn.JodaDateValidator.toJodaFormat(formatString);
    +        format = org.joda.time.format.DateTimeFormat.forPattern(pattern);
    +    }
    +
    +    public void eval() {
    +        // Get the input
    +        byte[] buf1 = new byte[left.end - left.start];
    +        left.buffer.getBytes(left.start, buf1, 0, left.end - left.start);
    +        String input = new String(buf1, 
com.google.common.base.Charsets.UTF_8);
    +
    +        <#if type == "Date">
    +        out.value = (org.joda.time.DateMidnight.parse(input, 
format).withZoneRetainFields(org.joda.time.DateTimeZone.UTC)).getMillis();
    +        <#elseif type == "TimeStamp">
    +        out.value = org.joda.time.DateTime.parse(input, 
format).withZoneRetainFields(org.joda.time.DateTimeZone.UTC).getMillis();
    +        <#elseif type == "Time">
    +        out.value = (int) 
((format.parseDateTime(input)).withZoneRetainFields(org.joda.time.DateTimeZone.UTC).getMillis());
    +        </#if>
    --- End diff --
    
    Let's think about error handling. The input is a VarChar which can be 
anything: a blank string, the name of a movie star, a phone number. The user 
claims it is a date. Even if it is, it might be badly formed or in the wrong 
format.
    
    What error handling do we do? `doEval` declares no exceptions. According to 
the Joda Javadoc, `parse()` will throw an (unchecked) 
`IllegalArgumentException` if the input is bad. This will bubble up the 
execution stack and cause the fragment executor to fail. There will be no 
context ("row xyz of input abc"), and precious little information about the SQL 
statement and field that caused the problem.
    
    Should we catch the exception and fill in as much context as we have 
available?


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