Examples with Expr org.apache.druid.math.expr.Expr used on opensource projects

Example 11 with Expr

use of org.apache.druid.math.expr.Expr in project druid by druid-io.

the class IPv4AddressParseExprMacroTest method testNullStringArg.

@Test
public void testNullStringArg() {
    Expr nullString = ExprEval.of(null).toExpr();
    Assert.assertSame(NULL, eval(nullString));
}

Example 12 with Expr

use of org.apache.druid.math.expr.Expr in project druid by druid-io.

the class IPv4AddressParseExprMacroTest method testValidStringArgUnsignedInt.

@Test
public void testValidStringArgUnsignedInt() {
    Expr unsignedInt = ExprEval.of("3232235521").toExpr();
    Assert.assertEquals(NULL, eval(unsignedInt));
}

Example 13 with Expr

use of org.apache.druid.math.expr.Expr in project druid by druid-io.

the class HyperUniqueExpressionsTest method testRoundEstimateWrongArgTypes.

@Test
public void testRoundEstimateWrongArgTypes() {
    expectedException.expect(IAE.class);
    expectedException.expectMessage("Function[hyper_unique_round_estimate] must take a hyper-log-log collector as input");
    Expr expr = Parser.parse("hyper_unique_round_estimate(string)", MACRO_TABLE);
    expr.eval(inputBindings);
}

Example 14 with Expr

use of org.apache.druid.math.expr.Expr in project druid by druid-io.

the class HyperUniqueExpressionsTest method testEstimate.

@Test
public void testEstimate() {
    Expr expr = Parser.parse("hyper_unique_estimate(hyper_unique_add(1.234, hyper_unique()))", MACRO_TABLE);
    ExprEval eval = expr.eval(inputBindings);
    Assert.assertEquals(ExpressionType.DOUBLE, eval.type());
    Assert.assertEquals(1.0, eval.asDouble(), 0.01);
}

Example 15 with Expr

use of org.apache.druid.math.expr.Expr in project druid by druid-io.

the class HyperUniqueExpressionsTest method testDouble.

@Test
public void testDouble() {
    Expr expr = Parser.parse("hyper_unique_add(1.234, hyper_unique())", MACRO_TABLE);
    ExprEval eval = expr.eval(inputBindings);
    Assert.assertEquals(HyperUniqueExpressions.TYPE, eval.type());
    Assert.assertTrue(eval.value() instanceof HyperLogLogCollector);
    Assert.assertEquals(1.0, ((HyperLogLogCollector) eval.value()).estimateCardinality(), 0.01);
    expr = Parser.parse("hyper_unique_add(1.234, hyper_unique_add(5.678, hyper_unique()))", MACRO_TABLE);
    eval = expr.eval(inputBindings);
    Assert.assertEquals(HyperUniqueExpressions.TYPE, eval.type());
    Assert.assertTrue(eval.value() instanceof HyperLogLogCollector);
    Assert.assertEquals(2.0, ((HyperLogLogCollector) eval.value()).estimateCardinality(), 0.01);
    expr = Parser.parse("hyper_unique_add(double, hyper_unique())", MACRO_TABLE);
    eval = expr.eval(inputBindings);
    Assert.assertEquals(HyperUniqueExpressions.TYPE, eval.type());
    Assert.assertTrue(eval.value() instanceof HyperLogLogCollector);
    Assert.assertEquals(1.0, ((HyperLogLogCollector) eval.value()).estimateCardinality(), 0.01);
    expr = Parser.parse("hyper_unique_add(nullDouble, hyper_unique())", MACRO_TABLE);
    eval = expr.eval(inputBindings);
    Assert.assertEquals(HyperUniqueExpressions.TYPE, eval.type());
    Assert.assertTrue(eval.value() instanceof HyperLogLogCollector);
    Assert.assertEquals(NullHandling.replaceWithDefault() ? 1.0 : 0.0, ((HyperLogLogCollector) eval.value()).estimateCardinality(), 0.01);
}