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Posted to dev@hive.apache.org by "Carter Shanklin (JIRA)" <ji...@apache.org> on 2017/07/04 21:22:01 UTC
[jira] [Created] (HIVE-17031) HPL/SQL Addition/Subtraction only
supported on integers, datetimes and intervals
Carter Shanklin created HIVE-17031:
--------------------------------------
Summary: HPL/SQL Addition/Subtraction only supported on integers, datetimes and intervals
Key: HIVE-17031
URL: https://issues.apache.org/jira/browse/HIVE-17031
Project: Hive
Issue Type: Bug
Components: hpl/sql
Reporter: Carter Shanklin
Priority: Critical
This bug is part of a series of issues and surprising behavior I encountered writing a reporting script that would aggregate values and give rows different classifications based on an the aggregate. Addressing some or all of these issues would make HPL/SQL more accessible to newcomers.
In Expression.java:
{code}
public void operatorSub(HplsqlParser.ExprContext ctx) {
Var v1 = evalPop(ctx.expr(0));
Var v2 = evalPop(ctx.expr(1));
if (v1.value == null || v2.value == null) {
evalNull();
}
else if (v1.type == Type.BIGINT && v2.type == Type.BIGINT) {
exec.stackPush(new Var((Long)v1.value - (Long)v2.value));
}
else if (v1.type == Type.DATE && v2.type == Type.BIGINT) {
exec.stackPush(changeDateByInt((Date)v1.value, (Long)v2.value, false /*subtract*/));
}
else if (v1.type == Type.DATE && v2.type == Type.INTERVAL) {
exec.stackPush(new Var(((Interval)v2.value).dateChange((Date)v1.value, false /*subtract*/)));
}
else if (v1.type == Type.TIMESTAMP && v2.type == Type.INTERVAL) {
exec.stackPush(new Var(((Interval)v2.value).timestampChange((Timestamp)v1.value, false /*subtract*/), v1.scale));
}
else {
evalNull();
}
}
{code}
So decimals and floating points are not considered. To be fair the docs don't mention this as supported, but it is surprising.
Need: Test case for comparisons and equality, including nulls
Version = 3.0.0-SNAPSHOT r71f52d8ad512904b3f2c4f04fe39a33f2834f1f2
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