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Original file line number Diff line number Diff line change
Expand Up @@ -30,6 +30,7 @@
import org.apache.calcite.sql.SqlOperatorBinding;
import org.apache.calcite.sql.type.OperandTypes;
import org.apache.calcite.sql.type.ReturnTypes;
import org.apache.calcite.sql.type.SqlOperandCountRanges;
import org.apache.calcite.sql.type.SqlOperandTypeChecker;
import org.apache.calcite.sql.type.SqlReturnTypeInference;
import org.apache.calcite.sql.type.SqlTypeFamily;
Expand Down Expand Up @@ -196,7 +197,8 @@ public enum TransformFunctionType {
ARRAY_SUM_INT("arraySumInt", ReturnTypes.INTEGER, OperandTypes.family(SqlTypeFamily.ARRAY), "array_sum_int"),
ARRAY_SUM_LONG("arraySumLong", ReturnTypes.BIGINT, OperandTypes.family(SqlTypeFamily.ARRAY), "array_sum_long"),

VALUE_IN("valueIn", "value_in"),
VALUE_IN("valueIn", ReturnTypes.ARG0_FORCE_NULLABLE, OperandTypes.variadic(SqlOperandCountRanges.from(2)),
"value_in"),
MAP_VALUE("mapValue", ReturnTypes.cascade(opBinding ->
opBinding.getOperandType(2).getComponentType(), SqlTypeTransforms.FORCE_NULLABLE),
OperandTypes.family(ImmutableList.of(SqlTypeFamily.ANY, SqlTypeFamily.ANY, SqlTypeFamily.ANY)),
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Original file line number Diff line number Diff line change
Expand Up @@ -47,6 +47,11 @@
import org.apache.pinot.spi.data.FieldSpec.DataType;


/**
* This class implements the valueIn function for multi-valued columns. It takes at least 2 arguments, where the first
* argument is a multi-valued column, and the following arguments are constant values. The transform function will
* filter the values from the multi-valued column with the given constant values.
*/
public class ValueInTransformFunction extends BaseTransformFunction {
public static final String FUNCTION_NAME = "valueIn";

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Original file line number Diff line number Diff line change
Expand Up @@ -693,6 +693,17 @@ public void testMultiValueColumnGroupBy()
Assert.assertEquals(jsonNode.get("resultTable").get("rows").size(), 154);
}

@Test
public void testVariadicFunction() throws Exception {
String sqlQuery = "SELECT ARRAY_TO_MV(VALUE_IN(RandomAirports, 'MFR', 'SUN', 'GTR')) as airport, count(*) "
+ "FROM mytable WHERE ARRAY_TO_MV(RandomAirports) IN ('MFR', 'SUN', 'GTR') GROUP BY airport";
JsonNode jsonNode = postQuery(sqlQuery);
assertNoError(jsonNode);
assertEquals(jsonNode.get("resultTable").get("dataSchema").get("columnDataTypes").get(0).asText(), "STRING");
assertEquals(jsonNode.get("resultTable").get("dataSchema").get("columnDataTypes").get(1).asText(), "LONG");
assertEquals(jsonNode.get("numRowsResultSet").asInt(), 3);
}

@Test
public void testMultiValueColumnGroupByOrderBy()
throws Exception {
Expand Down