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FunctionSet.java
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FunctionSet.java
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// 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.
package org.apache.doris.catalog;
import org.apache.doris.analysis.ArithmeticExpr;
import org.apache.doris.analysis.BinaryPredicate;
import org.apache.doris.analysis.CastExpr;
import org.apache.doris.analysis.CompoundPredicate;
import org.apache.doris.analysis.FunctionCallExpr;
import org.apache.doris.analysis.InPredicate;
import org.apache.doris.analysis.IsNullPredicate;
import org.apache.doris.analysis.LikePredicate;
import org.apache.doris.analysis.MatchPredicate;
import org.apache.doris.builtins.ScalarBuiltins;
import org.apache.doris.catalog.Function.NullableMode;
import org.apache.doris.qe.ConnectContext;
import org.apache.doris.qe.SessionVariable;
import com.google.common.base.Preconditions;
import com.google.common.collect.ImmutableMap;
import com.google.common.collect.ImmutableSet;
import com.google.common.collect.Lists;
import com.google.common.collect.Maps;
import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Collections;
import java.util.HashMap;
import java.util.HashSet;
import java.util.List;
import java.util.Map;
import java.util.Map.Entry;
import java.util.Set;
public class FunctionSet<T> {
private static final Logger LOG = LogManager.getLogger(FunctionSet.class);
// All of the registered user functions. The key is the user facing name (e.g. "myUdf"),
// and the values are all the overloaded variants (e.g. myUdf(double), myUdf(string))
// This includes both UDFs and UDAs. Updates are made thread safe by synchronizing
// on this map. Functions are sorted in a canonical order defined by
// FunctionResolutionOrder.
private final HashMap<String, List<Function>> vectorizedFunctions;
private final HashMap<String, List<Function>> tableFunctions;
// For most build-in functions, it will return NullLiteral when params contain NullLiteral.
// But a few functions need to handle NullLiteral differently, such as "if". It need to add
// an attribute to LiteralExpr to mark null and check the attribute to decide whether to
// replace the result with NullLiteral when function finished. It leaves to be realized.
// Functions in this set is defined in `gensrc/script/doris_builtins_functions.py`,
// and will be built automatically.
private ImmutableSet<String> nullResultWithOneNullParamFunctions;
// Including now(), curdate(), etc..
private ImmutableSet<String> nondeterministicFunctions;
private HashSet<String> aggFunctionNames = new HashSet<>();
private boolean inited = false;
public FunctionSet() {
vectorizedFunctions = Maps.newHashMap();
tableFunctions = Maps.newHashMap();
}
public void init() {
// Populate all aggregate builtins.
initAggregateBuiltins();
ArithmeticExpr.initBuiltins(this);
BinaryPredicate.initBuiltins(this);
CompoundPredicate.initBuiltins(this);
CastExpr.initBuiltins(this);
IsNullPredicate.initBuiltins(this);
ScalarBuiltins.initBuiltins(this);
LikePredicate.initBuiltins(this);
MatchPredicate.initBuiltins(this);
InPredicate.initBuiltins(this);
AliasFunction.initBuiltins(this);
// init table function
initTableFunction();
inited = true;
}
public void buildNullResultWithOneNullParamFunction(Set<String> funcNames) {
ImmutableSet.Builder<String> setBuilder = new ImmutableSet.Builder<String>();
for (String funcName : funcNames) {
setBuilder.add(funcName);
}
this.nullResultWithOneNullParamFunctions = setBuilder.build();
}
public void buildNondeterministicFunctions(Set<String> funcNames) {
ImmutableSet.Builder<String> setBuilder = new ImmutableSet.Builder<String>();
for (String funcName : funcNames) {
setBuilder.add(funcName);
}
this.nondeterministicFunctions = setBuilder.build();
}
public boolean isNondeterministicFunction(String funcName) {
return nondeterministicFunctions.contains(funcName);
}
public boolean isNullResultWithOneNullParamFunctions(String funcName) {
return nullResultWithOneNullParamFunctions.contains(funcName);
}
private static final Map<Type, Type> MULTI_DISTINCT_SUM_RETURN_TYPE =
ImmutableMap.<Type, Type>builder()
.put(Type.TINYINT, Type.BIGINT)
.put(Type.SMALLINT, Type.BIGINT)
.put(Type.INT, Type.BIGINT)
.put(Type.BIGINT, Type.BIGINT)
.put(Type.FLOAT, Type.DOUBLE)
.put(Type.DOUBLE, Type.DOUBLE)
.put(Type.LARGEINT, Type.LARGEINT)
.put(Type.MAX_DECIMALV2_TYPE, Type.MAX_DECIMALV2_TYPE)
.put(Type.DECIMAL32, Type.DECIMAL32)
.put(Type.DECIMAL64, Type.DECIMAL64)
.put(Type.DECIMAL128, Type.DECIMAL128)
.build();
private static final Map<Type, Type> STDDEV_RETTYPE_SYMBOL =
ImmutableMap.<Type, Type>builder()
.put(Type.TINYINT, Type.DOUBLE)
.put(Type.SMALLINT, Type.DOUBLE)
.put(Type.INT, Type.DOUBLE)
.put(Type.BIGINT, Type.DOUBLE)
.put(Type.FLOAT, Type.DOUBLE)
.put(Type.DOUBLE, Type.DOUBLE)
.put(Type.MAX_DECIMALV2_TYPE, Type.MAX_DECIMALV2_TYPE)
.put(Type.DECIMAL32, Type.DECIMAL32)
.put(Type.DECIMAL64, Type.DECIMAL64)
.put(Type.DECIMAL128, Type.DECIMAL128)
.build();
private static final Map<Type, String> STDDEV_UPDATE_SYMBOL =
ImmutableMap.<Type, String>builder()
.put(Type.TINYINT,
"16knuth_var_updateIN9doris_udf10TinyIntValEEEvPNS2_15FunctionContextERKT_PNS2_9StringValE")
.put(Type.SMALLINT,
"16knuth_var_updateIN9doris_udf11SmallIntValEEEvPNS2_15FunctionContextERKT_PNS2_9StringValE")
.put(Type.INT,
"16knuth_var_updateIN9doris_udf6IntValEEEvPNS2_15FunctionContextERKT_PNS2_9StringValE")
.put(Type.BIGINT,
"16knuth_var_updateIN9doris_udf9BigIntValEEEvPNS2_15FunctionContextERKT_PNS2_9StringValE")
.put(Type.FLOAT,
"16knuth_var_updateIN9doris_udf8FloatValEEEvPNS2_15FunctionContextERKT_PNS2_9StringValE")
.put(Type.DOUBLE,
"16knuth_var_updateIN9doris_udf9DoubleValEEEvPNS2_15FunctionContextERKT_PNS2_9StringValE")
.put(Type.MAX_DECIMALV2_TYPE,
"16knuth_var_updateEPN9doris_udf15FunctionContextERKNS1_12DecimalV2ValEPNS1_9StringValE")
.build();
public static final String HLL_HASH = "hll_hash";
public static final String HLL_UNION = "hll_union";
public static final String HLL_UNION_AGG = "hll_union_agg";
public static final String HLL_RAW_AGG = "hll_raw_agg";
public static final String HLL_CARDINALITY = "hll_cardinality";
public static final String TO_BITMAP = "to_bitmap";
public static final String TO_BITMAP_WITH_CHECK = "to_bitmap_with_check";
public static final String BITMAP_HASH = "bitmap_hash";
public static final String BITMAP_UNION = "bitmap_union";
public static final String BITMAP_UNION_COUNT = "bitmap_union_count";
public static final String BITMAP_UNION_INT = "bitmap_union_int";
public static final String BITMAP_COUNT = "bitmap_count";
public static final String INTERSECT_COUNT = "intersect_count";
public static final String BITMAP_INTERSECT = "bitmap_intersect";
public static final String ORTHOGONAL_BITMAP_INTERSECT = "orthogonal_bitmap_intersect";
public static final String ORTHOGONAL_BITMAP_INTERSECT_COUNT = "orthogonal_bitmap_intersect_count";
public static final String ORTHOGONAL_BITMAP_UNION_COUNT = "orthogonal_bitmap_union_count";
public static final String APPROX_COUNT_DISTINCT = "approx_count_distinct";
public static final String NDV = "ndv";
public static final String ORTHOGONAL_BITMAP_EXPR_CALCULATE_COUNT = "orthogonal_bitmap_expr_calculate_count";
public static final String ORTHOGONAL_BITMAP_EXPR_CALCULATE = "orthogonal_bitmap_expr_calculate";
public static final String QUANTILE_UNION = "quantile_union";
//TODO(weixiang): is quantile_percent can be replaced by approx_percentile?
public static final String QUANTILE_PERCENT = "quantile_percent";
public static final String TO_QUANTILE_STATE = "to_quantile_state";
public static final String COLLECT_LIST = "collect_list";
public static final String COLLECT_SET = "collect_set";
public static final String HISTOGRAM = "histogram";
public static final String HIST = "hist";
public static final String MAP_AGG = "map_agg";
public static final String BITMAP_AGG = "bitmap_agg";
public static final String COUNT_BY_ENUM = "count_by_enum";
private static final Map<Type, String> TOPN_UPDATE_SYMBOL =
ImmutableMap.<Type, String>builder()
.put(Type.CHAR,
"_ZN5doris13TopNFunctions11topn_updateIN9doris_udf9StringValEEEvPNS2_15FunctionContextERKT_RKNS2_6IntValEPS3_")
.put(Type.VARCHAR,
"_ZN5doris13TopNFunctions11topn_updateIN9doris_udf9StringValEEEvPNS2_15FunctionContextERKT_RKNS2_6IntValEPS3_")
.put(Type.STRING,
"_ZN5doris13TopNFunctions11topn_updateIN9doris_udf9StringValEEEvPNS2_15FunctionContextERKT_RKNS2_6IntValEPS3_")
.build();
public Function getFunction(Function desc, Function.CompareMode mode) {
return getFunction(desc, mode, false);
}
public Function getFunction(Function desc, Function.CompareMode mode, boolean isTableFunction) {
List<Function> fns;
if (isTableFunction) {
fns = tableFunctions.get(desc.functionName());
} else {
fns = vectorizedFunctions.get(desc.functionName());
}
if (fns == null) {
return null;
}
List<Function> normalFunctions = Lists.newArrayList();
List<Function> templateFunctions = Lists.newArrayList();
List<Function> variadicTemplateFunctions = Lists.newArrayList();
List<Function> inferenceFunctions = Lists.newArrayList();
for (Function fn : fns) {
if (fn.isInferenceFunction()) {
inferenceFunctions.add(fn);
continue;
}
if (fn.hasTemplateArg()) {
if (!fn.hasVariadicTemplateArg()) {
templateFunctions.add(fn);
} else {
variadicTemplateFunctions.add(fn);
}
} else {
normalFunctions.add(fn);
}
}
// try normal functions first
Function fn = getFunction(desc, mode, normalFunctions);
if (fn != null) {
return fn;
}
// then specialize template functions and try them
List<Function> specializedTemplateFunctions = Lists.newArrayList();
for (Function f : templateFunctions) {
f = specializeTemplateFunction(f, desc, false);
if (f != null) {
specializedTemplateFunctions.add(f);
}
}
// try template function second
fn = getFunction(desc, mode, specializedTemplateFunctions);
if (fn != null) {
return fn;
}
// then specialize variadic template function and try them
List<Function> specializedVariadicTemplateFunctions = Lists.newArrayList();
for (Function f : variadicTemplateFunctions) {
f = specializeTemplateFunction(f, desc, true);
if (f != null) {
specializedVariadicTemplateFunctions.add(f);
}
}
// try variadic template function third
fn = getFunction(desc, mode, specializedVariadicTemplateFunctions);
if (fn != null) {
return fn;
}
List<Function> inferredFunctions = Lists.newArrayList();
for (Function f : inferenceFunctions) {
if (f.hasTemplateArg()) {
f = specializeTemplateFunction(f, desc, f.hasVariadicTemplateArg());
}
if (f != null && (f = resolveInferenceFunction(f, desc)) != null) {
inferredFunctions.add(f);
}
}
// try inference function at last
return getFunction(desc, mode, inferredFunctions);
}
private Function getFunction(Function desc, Function.CompareMode mode, List<Function> fns) {
// First check for identical
for (Function f : fns) {
if (f.compare(desc, Function.CompareMode.IS_IDENTICAL)) {
return f;
}
}
if (mode == Function.CompareMode.IS_IDENTICAL) {
return null;
}
// Next check for indistinguishable
for (Function f : fns) {
if (f.compare(desc, Function.CompareMode.IS_INDISTINGUISHABLE)) {
return f;
}
}
if (mode == Function.CompareMode.IS_INDISTINGUISHABLE) {
return null;
}
// Next check for strict supertypes
for (Function f : fns) {
if (f.compare(desc, Function.CompareMode.IS_SUPERTYPE_OF) && isCastMatchAllowed(desc, f)) {
return f;
}
}
if (mode == Function.CompareMode.IS_SUPERTYPE_OF) {
return null;
}
// Finally check for non-strict supertypes
for (Function f : fns) {
if (f.compare(desc, Function.CompareMode.IS_NONSTRICT_SUPERTYPE_OF) && isCastMatchAllowed(desc, f)) {
return f;
}
}
return null;
}
public Function specializeTemplateFunction(Function templateFunction, Function requestFunction, boolean isVariadic) {
try {
boolean hasTemplateType = false;
if (LOG.isDebugEnabled()) {
LOG.debug("templateFunction signature: {}, return type: {}",
templateFunction.signatureString(), templateFunction.getReturnType());
if (LOG.isDebugEnabled()) {
LOG.debug("requestFunction signature: {}, return type: {}",
requestFunction.signatureString(), requestFunction.getReturnType());
}
}
List<Type> newArgTypes = Lists.newArrayList();
List<Type> newRetType = Lists.newArrayList();
if (isVariadic) {
Map<String, Integer> expandSizeMap = Maps.newHashMap();
templateFunction.collectTemplateExpandSize(requestFunction.getArgs(), expandSizeMap);
// expand the variadic template in arg types
for (Type argType : templateFunction.getArgs()) {
if (argType.needExpandTemplateType()) {
newArgTypes.addAll(argType.expandVariadicTemplateType(expandSizeMap));
} else {
newArgTypes.add(argType);
}
}
// expand the variadic template in ret type
if (templateFunction.getReturnType().needExpandTemplateType()) {
newRetType.addAll(templateFunction.getReturnType().expandVariadicTemplateType(expandSizeMap));
Preconditions.checkState(newRetType.size() == 1);
} else {
newRetType.add(templateFunction.getReturnType());
}
} else {
newArgTypes.addAll(Lists.newArrayList(templateFunction.getArgs()));
newRetType.add(templateFunction.getReturnType());
}
Function specializedFunction = templateFunction;
if (templateFunction instanceof ScalarFunction) {
ScalarFunction f = (ScalarFunction) templateFunction;
specializedFunction = new ScalarFunction(f.getFunctionName(), newArgTypes, newRetType.get(0), f.hasVarArgs(),
f.getSymbolName(), f.getBinaryType(), f.isUserVisible(), true, f.getNullableMode());
} else {
throw new TypeException(templateFunction
+ " is not support for template since it's not a ScalarFunction");
}
ArrayList<Type> args = new ArrayList<>();
Collections.addAll(args, specializedFunction.getArgs());
Map<String, Type> specializedTypeMap = Maps.newHashMap();
boolean enableDecimal256 = SessionVariable.getEnableDecimal256();
int i = 0;
for (; i < args.size(); i++) {
if (args.get(i).hasTemplateType()) {
hasTemplateType = true;
// if args[i] is template type, and requestFunction.getArgs()[i] NULL_TYPE, we need call function
// deduce to get the specific type
Type deduceType = requestFunction.getArgs()[i];
if (requestFunction.getArgs()[i].isNull()
|| (requestFunction.getArgs()[i] instanceof ArrayType
&& ((ArrayType) requestFunction.getArgs()[i]).getItemType().isNull())
&& FunctionTypeDeducers.DEDUCERS.containsKey(specializedFunction.functionName())) {
deduceType = FunctionTypeDeducers.deduce(specializedFunction.functionName(), i, requestFunction.getArgs());
args.set(i, args.get(i).specializeTemplateType(deduceType == null ? requestFunction.getArgs()[i]
: deduceType, specializedTypeMap, false, enableDecimal256));
} else {
args.set(i, args.get(i).specializeTemplateType(requestFunction.getArgs()[i],
specializedTypeMap, false, enableDecimal256));
}
}
}
specializedFunction.setArgs(args);
if (specializedFunction.getReturnType().hasTemplateType()) {
hasTemplateType = true;
specializedFunction.setReturnType(
specializedFunction.getReturnType().specializeTemplateType(
requestFunction.getReturnType(), specializedTypeMap, true, enableDecimal256));
}
if (LOG.isDebugEnabled()) {
LOG.debug("specializedFunction signature: {}, return type: {}",
specializedFunction.signatureString(), specializedFunction.getReturnType());
}
return hasTemplateType ? specializedFunction : templateFunction;
} catch (TypeException e) {
if (inited && LOG.isDebugEnabled()) {
LOG.debug("specializeTemplateFunction exception", e);
}
return null;
}
}
public Function resolveInferenceFunction(Function inferenceFunction, Function requestFunction) {
Type[] inputArgs = requestFunction.getArgs();
Type[] inferArgs = inferenceFunction.getArgs();
Type[] newTypes = Arrays.copyOf(inputArgs, inputArgs.length);
for (int i = 0; i < inferArgs.length; ++i) {
Type inferType = inferArgs[i];
Type inputType = inputArgs[i];
if (!inferType.isAnyType()) {
newTypes[i] = inputType;
}
}
Type newRetType = FunctionTypeDeducers.deduce(inferenceFunction.functionName(), 0, newTypes);
if (newRetType != null && inferenceFunction instanceof ScalarFunction) {
ScalarFunction f = (ScalarFunction) inferenceFunction;
return new ScalarFunction(f.getFunctionName(), Lists.newArrayList(newTypes), newRetType, f.hasVarArgs(),
f.getSymbolName(), f.getBinaryType(), f.isUserVisible(), true, f.getNullableMode());
}
return null;
}
/**
* There are essential differences in the implementation of some functions for different
* types params, which should be prohibited.
* @param desc
* @param candicate
* @return
*/
public static boolean isCastMatchAllowed(Function desc, Function candicate) {
final String functionName = desc.getFunctionName().getFunction();
final Type[] descArgTypes = desc.getArgs();
final Type[] candicateArgTypes = candicate.getArgs();
if (!(descArgTypes[0] instanceof ScalarType)
|| !(candicateArgTypes[0] instanceof ScalarType)) {
if (candicateArgTypes[0] instanceof ArrayType) {
// match is exactly type. but for null type , with in array|map elem can not return true, because for
// be will make null_type to uint8
// so here meet null_type just make true as allowed, descArgTypes[0]).getItemType().isNull() is for
// empty literal like: []|{}
if (descArgTypes[0] instanceof ArrayType && ((ArrayType) descArgTypes[0]).getItemType().isNull()) {
return true;
}
return descArgTypes[0].matchesType(candicateArgTypes[0]);
} else if (candicateArgTypes[0] instanceof MapType) {
if (descArgTypes[0] instanceof MapType && ((MapType) descArgTypes[0]).getKeyType().isNull()
&& ((MapType) descArgTypes[0]).getValueType().isNull()) {
return true;
}
return descArgTypes[0].matchesType(candicateArgTypes[0]);
}
return false;
}
final ScalarType descArgType = (ScalarType) descArgTypes[0];
final ScalarType candicateArgType = (ScalarType) candicateArgTypes[0];
if (functionName.equalsIgnoreCase("hex")
|| functionName.equalsIgnoreCase("greast")
|| functionName.equalsIgnoreCase("least")
|| functionName.equalsIgnoreCase("lead")
|| functionName.equalsIgnoreCase("lag")) {
if (!descArgType.isStringType() && candicateArgType.isStringType()) {
// The implementations of hex for string and int are different.
return false;
}
}
if (FunctionCallExpr.STRING_SEARCH_FUNCTION_SET.contains(desc.functionName())) {
if (descArgTypes[1].isStringType() && candicateArgTypes[1].isArrayType()) {
// The needles arg of search functions should not be allowed to cast from string.
return false;
}
}
// If set `roundPreciseDecimalV2Value`, only use decimalv3 as target type to execute round function
if (ConnectContext.get() != null
&& ConnectContext.get().getSessionVariable().roundPreciseDecimalV2Value
&& FunctionCallExpr.ROUND_FUNCTION_SET.contains(desc.functionName())
&& descArgType.isDecimalV2()) {
return candicateArgType.getPrimitiveType() == PrimitiveType.DECIMAL128;
}
if ((descArgType.isDecimalV3() && candicateArgType.isDecimalV2())
|| (descArgType.isDecimalV2() && candicateArgType.isDecimalV3())) {
return false;
}
return true;
}
public Function getFunction(String signatureString, boolean vectorized) {
for (List<Function> fns : vectorizedFunctions.values()) {
for (Function f : fns) {
if (f.signatureString().equals(signatureString)) {
return f;
}
}
}
return null;
}
private boolean addFunction(Function fn, boolean isBuiltin) {
if (fn instanceof AggregateFunction) {
aggFunctionNames.add(fn.functionName());
}
// TODO: add this to persistent store
if (getFunction(fn, Function.CompareMode.IS_INDISTINGUISHABLE) != null) {
return false;
}
List<Function> fns = vectorizedFunctions.get(fn.functionName());
if (fns == null) {
fns = Lists.newArrayList();
vectorizedFunctions.put(fn.functionName(), fns);
}
fns.add(fn);
return true;
}
/**
* Add a builtin with the specified name and signatures to this db.
*/
public void addScalarBuiltin(String fnName, String symbol, boolean userVisible,
String prepareFnSymbol, String closeFnSymbol,
Function.NullableMode nullableMode, Type retType,
boolean varArgs, Type ... args) {
ArrayList<Type> argsType = new ArrayList<Type>();
for (Type type : args) {
argsType.add(type);
}
addBuiltin(ScalarFunction.createBuiltin(
fnName, retType, nullableMode, argsType, varArgs,
symbol, prepareFnSymbol, closeFnSymbol, userVisible));
}
public void addScalarAndVectorizedBuiltin(String fnName, boolean userVisible,
Function.NullableMode nullableMode, Type retType,
boolean varArgs, Type ... args) {
ArrayList<Type> argsType = new ArrayList<Type>();
for (Type type : args) {
argsType.add(type);
}
addBuiltinBothScalaAndVectorized(ScalarFunction.createBuiltin(
fnName, retType, nullableMode, argsType, varArgs,
"", "", "", userVisible));
}
/**
* Adds a builtin to this database. The function must not already exist.
*/
public void addBuiltin(Function fn) {
addFunction(fn, true);
}
/**
* Adds a function both in FunctionSet and VecFunctionSet to this database.
* The function must not already exist and need to be not vectorized
*/
public void addBuiltinBothScalaAndVectorized(Function fn) {
if (getFunction(fn, Function.CompareMode.IS_INDISTINGUISHABLE) != null) {
return;
}
// add vectorized function
List<Function> vecFns = vectorizedFunctions.get(fn.functionName());
if (vecFns == null) {
vecFns = Lists.newArrayList();
vectorizedFunctions.put(fn.functionName(), vecFns);
}
vecFns.add(fn);
}
public static final String COUNT = "count";
public static final String WINDOW_FUNNEL = "window_funnel";
public static final String RETENTION = "retention";
public static final String SEQUENCE_MATCH = "sequence_match";
public static final String SEQUENCE_COUNT = "sequence_count";
public static final String GROUP_UNIQ_ARRAY = "group_uniq_array";
public static final String GROUP_ARRAY = "group_array";
public static final String GROUP_ARRAY_INTERSECT = "group_array_intersect";
public static final String ARRAY_AGG = "array_agg";
// Populate all the aggregate builtins in the catalog.
// null symbols indicate the function does not need that step of the evaluation.
// An empty symbol indicates a TODO for the BE to implement the function.
private void initAggregateBuiltins() {
// Type stringType[] = {Type.CHAR, Type.VARCHAR};
// count(*)
// vectorized
addBuiltin(AggregateFunction.createBuiltin(FunctionSet.COUNT,
new ArrayList<Type>(), Type.BIGINT, Type.BIGINT,
"",
"",
"",
null, null,
"",
null, false, true, true, true));
// count(array/map/struct)
for (Type complexType : Lists.newArrayList(Type.ARRAY, Type.MAP, Type.GENERIC_STRUCT)) {
addBuiltin(AggregateFunction.createBuiltin(FunctionSet.COUNT,
Lists.newArrayList(complexType), Type.BIGINT, Type.BIGINT,
"",
"",
"",
null, null,
"",
null, false, true, true, true));
addBuiltin(AggregateFunction.createBuiltin(FunctionSet.COUNT,
Lists.newArrayList(complexType), Type.BIGINT, Type.BIGINT,
"",
"",
"",
null, null,
"",
null, false, true, true, true));
}
// Vectorization does not need symbol any more, we should clean it in the future.
addBuiltin(AggregateFunction.createBuiltin(FunctionSet.WINDOW_FUNNEL,
Lists.newArrayList(Type.BIGINT, Type.STRING, Type.DATETIME, Type.BOOLEAN),
Type.INT,
Type.VARCHAR,
true,
"",
"",
"",
"",
"",
"",
"",
true, false, true, true));
addBuiltin(AggregateFunction.createBuiltin(FunctionSet.WINDOW_FUNNEL,
Lists.newArrayList(Type.BIGINT, Type.STRING, Type.DATETIMEV2, Type.BOOLEAN),
Type.INT,
Type.VARCHAR,
true,
"",
"",
"",
"",
"",
"",
"",
true, false, true, true));
// retention vectorization
addBuiltin(AggregateFunction.createBuiltin(FunctionSet.RETENTION,
Lists.newArrayList(Type.BOOLEAN),
new ArrayType(Type.BOOLEAN),
Type.VARCHAR,
true,
"",
"",
"",
"",
"",
"",
"",
true, false, true, true));
// sequenceMatch
addBuiltin(AggregateFunction.createBuiltin(FunctionSet.SEQUENCE_MATCH,
Lists.newArrayList(Type.STRING, Type.DATEV2, Type.BOOLEAN),
Type.BOOLEAN,
Type.VARCHAR,
true,
"",
"",
"",
"",
"",
"",
"",
true, false, true, true));
addBuiltin(AggregateFunction.createBuiltin(FunctionSet.SEQUENCE_MATCH,
Lists.newArrayList(Type.STRING, Type.DATETIME, Type.BOOLEAN),
Type.BOOLEAN,
Type.VARCHAR,
true,
"",
"",
"",
"",
"",
"",
"",
true, false, true, true));
addBuiltin(AggregateFunction.createBuiltin(FunctionSet.SEQUENCE_MATCH,
Lists.newArrayList(Type.STRING, Type.DATETIMEV2, Type.BOOLEAN),
Type.BOOLEAN,
Type.VARCHAR,
true,
"",
"",
"",
"",
"",
"",
"",
true, false, true, true));
// sequenceCount
addBuiltin(AggregateFunction.createBuiltin(FunctionSet.SEQUENCE_COUNT,
Lists.newArrayList(Type.STRING, Type.DATEV2, Type.BOOLEAN),
Type.BIGINT,
Type.VARCHAR,
true,
"",
"",
"",
"",
"",
"",
"",
true, false, true, true));
addBuiltin(AggregateFunction.createBuiltin(FunctionSet.SEQUENCE_COUNT,
Lists.newArrayList(Type.STRING, Type.DATETIME, Type.BOOLEAN),
Type.BIGINT,
Type.VARCHAR,
true,
"",
"",
"",
"",
"",
"",
"",
true, false, true, true));
addBuiltin(AggregateFunction.createBuiltin(FunctionSet.SEQUENCE_COUNT,
Lists.newArrayList(Type.STRING, Type.DATETIMEV2, Type.BOOLEAN),
Type.BIGINT,
Type.VARCHAR,
true,
"",
"",
"",
"",
"",
"",
"",
true, false, true, true));
addBuiltin(AggregateFunction.createBuiltin("hll_union_agg",
Lists.newArrayList(Type.HLL), Type.BIGINT, Type.VARCHAR,
"",
"",
"",
"",
"",
null,
"",
true, true, true, true));
addBuiltin(AggregateFunction.createBuiltin(HLL_UNION,
Lists.newArrayList(Type.HLL), Type.HLL, Type.HLL,
"",
"",
"",
"",
"",
true, false, true, true));
addBuiltin(AggregateFunction.createBuiltin("hll_raw_agg",
Lists.newArrayList(Type.HLL), Type.HLL, Type.HLL,
"",
"",
"",
"",
"",
true, false, true, true));
for (Type t : Type.getTrivialTypes()) {
if (t.isNull()) {
continue; // NULL is handled through type promotion.
}
if (t.isScalarType(PrimitiveType.CHAR)) {
continue; // promoted to STRING
}
// Count
// vectorized
addBuiltin(AggregateFunction.createBuiltin(FunctionSet.COUNT,
Lists.newArrayList(t), Type.BIGINT, Type.BIGINT,
"",
"",
"",
null, null,
"",
null, false, true, true, true));
// count in multi distinct
if (t.equals(Type.CHAR) || t.equals(Type.VARCHAR)) {
// vectorized
addBuiltin(AggregateFunction.createBuiltin("multi_distinct_count", Lists.newArrayList(t),
Type.BIGINT,
Type.VARCHAR,
"",
"",
"",
"",
null,
null,
"",
false, true, true, true));
} else if (t.equals(Type.STRING)) {
addBuiltin(AggregateFunction.createBuiltin("multi_distinct_count", Lists.newArrayList(t),
Type.BIGINT,
Type.STRING,
"",
"",
"",
"",
null,
null,
"",
false, true, true, true));
} else if (t.equals(Type.TINYINT) || t.equals(Type.SMALLINT) || t.equals(Type.INT)
|| t.equals(Type.BIGINT) || t.equals(Type.LARGEINT) || t.equals(Type.DOUBLE)) {
// vectorized
addBuiltin(AggregateFunction.createBuiltin("multi_distinct_count", Lists.newArrayList(t),
Type.BIGINT,
t,
"",
"",
"",
"",
null,
null,
"",
false, true, true, true));
} else if (t.equals(Type.DATE) || t.equals(Type.DATETIME)) {
// now we don't support datetime distinct
} else if (t.equals(Type.MAX_DECIMALV2_TYPE)) {
// vectorized
addBuiltin(AggregateFunction.createBuiltin("multi_distinct_count", Lists.newArrayList(t),
Type.BIGINT,
Type.MAX_DECIMALV2_TYPE,
"",
"",
"",
"",
null,
null,
"",
false, true, true, true));
} else if (t.equals(Type.DECIMAL32)) {
// vectorized
addBuiltin(AggregateFunction.createBuiltin("multi_distinct_count", Lists.newArrayList(t),
Type.BIGINT,
Type.DECIMAL32,
"",
"",
"",
"",
null,
null,
"",
false, true, true, true));
} else if (t.equals(Type.DECIMAL64)) {
// vectorized
addBuiltin(AggregateFunction.createBuiltin("multi_distinct_count", Lists.newArrayList(t),
Type.BIGINT,
Type.DECIMAL64,
"",
"",
"",
"",
null,
null,
"",
false, true, true, true));
} else if (t.equals(Type.DECIMAL128)) {
// vectorized
addBuiltin(AggregateFunction.createBuiltin("multi_distinct_count", Lists.newArrayList(t),
Type.BIGINT,
Type.DECIMAL128,
"",
"",
"",
"",
null,
null,
"",
false, true, true, true));
}
// sum in multi distinct
if (t.equals(Type.BIGINT) || t.equals(Type.LARGEINT) || t.equals(Type.DOUBLE)) {
addBuiltin(AggregateFunction.createBuiltin("multi_distinct_sum", Lists.newArrayList(t),
t,
t,
"",
"",
"",
"",
null,
null,
"",
false, true, false, true));
addBuiltin(AggregateFunction.createBuiltin("multi_distinct_sum0", Lists.newArrayList(t),
t,
t,
"",
"",
"",
"",
null,
null,
"",
false, true, true, true));
} else if (t.equals(Type.MAX_DECIMALV2_TYPE)) {
// vectorized
addBuiltin(AggregateFunction.createBuiltin("multi_distinct_sum", Lists.newArrayList(t),
MULTI_DISTINCT_SUM_RETURN_TYPE.get(t),
Type.MAX_DECIMALV2_TYPE,
"",
"",
"",
"",
null,
null,
"",
false, true, false, true));
addBuiltin(AggregateFunction.createBuiltin("multi_distinct_sum0", Lists.newArrayList(t),
MULTI_DISTINCT_SUM_RETURN_TYPE.get(t),
Type.MAX_DECIMALV2_TYPE,
"",
"",
"",
"",
null,
null,
"",
false, true, true, true));
} else if (t.equals(Type.DECIMAL32)) {
// vectorized
addBuiltin(AggregateFunction.createBuiltin("multi_distinct_sum", Lists.newArrayList(t),
MULTI_DISTINCT_SUM_RETURN_TYPE.get(t),
Type.DECIMAL32,
"",
"",
"",
"",
null,
null,
"",
false, true, false, true));
addBuiltin(AggregateFunction.createBuiltin("multi_distinct_sum0", Lists.newArrayList(t),
MULTI_DISTINCT_SUM_RETURN_TYPE.get(t),
Type.DECIMAL32,
"",
"",
"",
"",
null,
null,
"",
false, true, true, true));
} else if (t.equals(Type.DECIMAL64)) {
addBuiltin(AggregateFunction.createBuiltin("multi_distinct_sum", Lists.newArrayList(t),