amaliujia commented on a change in pull request #13200:
URL: https://github.com/apache/beam/pull/13200#discussion_r512943846



##########
File path: 
sdks/java/extensions/sql/zetasql/src/main/java/org/apache/beam/sdk/extensions/sql/zetasql/SqlAnalyzer.java
##########
@@ -115,6 +136,51 @@ static boolean isEndOfInput(ParseResumeLocation 
parseResumeLocation) {
     return tables.build();
   }
 
+  /** Returns the fully qualified name of the function defined in {@code 
statement}. */
+  static String getFunctionQualifiedName(ResolvedCreateFunctionStmt 
createFunctionStmt) {
+    return String.format(
+        "%s:%s",
+        getFunctionGroup(createFunctionStmt), String.join(".", 
createFunctionStmt.getNamePath()));
+  }
+
+  private static String getFunctionGroup(ResolvedCreateFunctionStmt 
createFunctionStmt) {
+    switch (createFunctionStmt.getLanguage().toUpperCase()) {
+      case "JAVA":
+        return createFunctionStmt.getIsAggregate()
+            ? USER_DEFINED_JAVA_AGGREGATE_FUNCTIONS
+            : USER_DEFINED_JAVA_SCALAR_FUNCTIONS;
+      case "SQL":
+        if (createFunctionStmt.getIsAggregate()) {
+          throw new UnsupportedOperationException(
+              "Native SQL aggregate functions are not supported (BEAM-9954).");
+        }
+        return USER_DEFINED_FUNCTIONS;
+      case "PY":
+      case "PYTHON":
+      case "JS":
+      case "JAVASCRIPT":

Review comment:
       Nice to have these in place!

##########
File path: 
sdks/java/extensions/sql/src/main/java/org/apache/beam/sdk/extensions/sql/impl/planner/BeamRuleSets.java
##########
@@ -82,8 +80,6 @@
           // Rules for window functions
           ProjectToWindowRule.PROJECT,
           // Rules so we only have to implement Calc
-          FilterCalcMergeRule.INSTANCE,
-          ProjectCalcMergeRule.INSTANCE,

Review comment:
       https://github.com/apache/beam/pull/12400/files I have done this part in 
ZetaSQL planner so you don't need to disable such rules in the default rulesets

##########
File path: 
sdks/java/extensions/sql/zetasql/src/main/java/org/apache/beam/sdk/extensions/sql/zetasql/ZetaSQLPlannerImpl.java
##########
@@ -97,22 +102,43 @@ public RelRoot rel(String sql, QueryParameters params) {
     SimpleCatalog catalog =
         analyzer.createPopulatedCatalog(defaultSchemaPlus.getName(), options, 
tables);
 
-    ImmutableMap.Builder<String, ResolvedCreateFunctionStmt> udfBuilder = 
ImmutableMap.builder();
+    ImmutableMap.Builder<List<String>, ResolvedCreateFunctionStmt> udfBuilder =
+        ImmutableMap.builder();
     ImmutableMap.Builder<List<String>, ResolvedNode> udtvfBuilder = 
ImmutableMap.builder();
+    ImmutableMap.Builder<List<String>, Method> javaScalarFunctionBuilder = 
ImmutableMap.builder();
+    ImmutableMap.Builder<List<String>, Combine.CombineFn> 
javaAggregateFunctionBuilder =
+        ImmutableMap.builder();
+    JavaUdfLoader javaUdfLoader = new JavaUdfLoader();
 
     ResolvedStatement statement;
     ParseResumeLocation parseResumeLocation = new ParseResumeLocation(sql);
     do {
       statement = analyzer.analyzeNextStatement(parseResumeLocation, options, 
catalog);
       if (statement.nodeKind() == RESOLVED_CREATE_FUNCTION_STMT) {
         ResolvedCreateFunctionStmt createFunctionStmt = 
(ResolvedCreateFunctionStmt) statement;
-        // ResolvedCreateFunctionStmt does not include the full function name, 
so build it here.
-        String functionFullName =
-            String.format(
-                "%s:%s",
-                SqlAnalyzer.USER_DEFINED_FUNCTIONS,
-                String.join(".", createFunctionStmt.getNamePath()));
-        udfBuilder.put(functionFullName, createFunctionStmt);
+        if (createFunctionStmt.getLanguage().toUpperCase().equals("SQL")) {
+          udfBuilder.put(createFunctionStmt.getNamePath(), createFunctionStmt);
+        } else if 
(createFunctionStmt.getLanguage().toUpperCase().equals("JAVA")) {

Review comment:
       Will it better to replace `"JAVA"` with a static constant or use a 
helper function `isJavaUDF(createFunctionStmt.getLanguage())`?

##########
File path: 
sdks/java/extensions/sql/zetasql/src/main/java/org/apache/beam/sdk/extensions/sql/zetasql/ZetaSQLPlannerImpl.java
##########
@@ -97,22 +102,43 @@ public RelRoot rel(String sql, QueryParameters params) {
     SimpleCatalog catalog =
         analyzer.createPopulatedCatalog(defaultSchemaPlus.getName(), options, 
tables);
 
-    ImmutableMap.Builder<String, ResolvedCreateFunctionStmt> udfBuilder = 
ImmutableMap.builder();
+    ImmutableMap.Builder<List<String>, ResolvedCreateFunctionStmt> udfBuilder =
+        ImmutableMap.builder();
     ImmutableMap.Builder<List<String>, ResolvedNode> udtvfBuilder = 
ImmutableMap.builder();
+    ImmutableMap.Builder<List<String>, Method> javaScalarFunctionBuilder = 
ImmutableMap.builder();
+    ImmutableMap.Builder<List<String>, Combine.CombineFn> 
javaAggregateFunctionBuilder =
+        ImmutableMap.builder();
+    JavaUdfLoader javaUdfLoader = new JavaUdfLoader();
 
     ResolvedStatement statement;
     ParseResumeLocation parseResumeLocation = new ParseResumeLocation(sql);
     do {
       statement = analyzer.analyzeNextStatement(parseResumeLocation, options, 
catalog);
       if (statement.nodeKind() == RESOLVED_CREATE_FUNCTION_STMT) {
         ResolvedCreateFunctionStmt createFunctionStmt = 
(ResolvedCreateFunctionStmt) statement;
-        // ResolvedCreateFunctionStmt does not include the full function name, 
so build it here.
-        String functionFullName =
-            String.format(
-                "%s:%s",
-                SqlAnalyzer.USER_DEFINED_FUNCTIONS,
-                String.join(".", createFunctionStmt.getNamePath()));
-        udfBuilder.put(functionFullName, createFunctionStmt);
+        if (createFunctionStmt.getLanguage().toUpperCase().equals("SQL")) {

Review comment:
       same for `"SQL"`

##########
File path: 
sdks/java/extensions/sql/src/main/java/org/apache/beam/sdk/extensions/sql/impl/planner/BeamRuleSets.java
##########
@@ -82,8 +80,6 @@
           // Rules for window functions
           ProjectToWindowRule.PROJECT,
           // Rules so we only have to implement Calc
-          FilterCalcMergeRule.INSTANCE,
-          ProjectCalcMergeRule.INSTANCE,

Review comment:
       Meanwhile, one rule is required for ZetaSQL planner is, we probably need 
a `BeamZetaSQLCalcMergeRule`, which does not merge Calc when one Calc has Java 
UDF but another Calc does not. This will be useful when users write query like 
   ```
   select java_udf(x) from (select builtin_function(y) as x from table) as t;
   ```

##########
File path: 
sdks/java/extensions/sql/zetasql/src/main/java/org/apache/beam/sdk/extensions/sql/zetasql/ZetaSQLQueryPlanner.java
##########
@@ -184,7 +190,9 @@ private BeamRelNode convertToBeamRelInternal(String sql, 
QueryParameters queryPa
     RelMetadataQuery.THREAD_PROVIDERS.set(
         
JaninoRelMetadataProvider.of(root.rel.getCluster().getMetadataProvider()));
     root.rel.getCluster().invalidateMetadataQuery();
-    return (BeamRelNode) plannerImpl.transform(0, desiredTraits, root.rel);
+    BeamRelNode beamRelNode = (BeamRelNode) plannerImpl.transform(0, 
desiredTraits, root.rel);
+    LOG.info("BEAMPlan>\n" + RelOptUtil.toString(beamRelNode));

Review comment:
       Remove this LOG.info before merge the code?

##########
File path: 
sdks/java/extensions/sql/zetasql/src/main/java/org/apache/beam/sdk/extensions/sql/zetasql/translation/JavaUdfLoader.java
##########
@@ -0,0 +1,217 @@
+/*
+ * 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.beam.sdk.extensions.sql.zetasql.translation;
+
+import java.io.File;
+import java.io.IOException;
+import java.lang.reflect.Method;
+import java.net.URL;
+import java.net.URLClassLoader;
+import java.nio.file.ProviderNotFoundException;
+import java.util.Collections;
+import java.util.HashMap;
+import java.util.Iterator;
+import java.util.List;
+import java.util.Map;
+import java.util.ServiceLoader;
+import org.apache.beam.sdk.extensions.sql.UdfProvider;
+import org.apache.beam.sdk.io.FileSystems;
+import org.apache.beam.sdk.io.fs.ResourceId;
+import org.apache.beam.sdk.transforms.Combine;
+import 
org.apache.beam.vendor.guava.v26_0_jre.com.google.common.annotations.VisibleForTesting;
+import 
org.apache.beam.vendor.guava.v26_0_jre.com.google.common.base.Preconditions;
+import 
org.apache.beam.vendor.guava.v26_0_jre.com.google.common.collect.ImmutableList;
+import 
org.apache.beam.vendor.guava.v26_0_jre.com.google.common.collect.ImmutableMap;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+/**
+ * Loads {@link UdfProvider} implementations from user-provided jars.
+ *
+ * <p>All UDFs are loaded and cached for each jar to mitigate IO costs.
+ */
+public class JavaUdfLoader {
+  private static final Logger LOG = 
LoggerFactory.getLogger(JavaUdfLoader.class);
+
+  /**
+   * Maps the external jar location to the functions the jar defines. Static 
so it can persist
+   * across multiple SQL transforms.
+   */
+  private static final Map<String, UserFunctionDefinitions> cache = new 
HashMap<>();
+
+  private static ClassLoader originalClassLoader = null;
+
+  /**
+   * Load a user-defined scalar function from the specified jar.
+   *
+   * <p><strong>WARNING</strong>: The first time a jar is loaded, it is added 
to the thread's
+   * context {@link ClassLoader} so that the jar can be staged by the runner.
+   */
+  public Method loadScalarFunction(List<String> functionPath, String jarPath) {
+    String functionFullName = String.join(".", functionPath);
+    try {
+      UserFunctionDefinitions functionDefinitions = loadJar(jarPath);
+      if (!functionDefinitions.javaScalarFunctions.containsKey(functionPath)) {
+        throw new IllegalArgumentException(
+            String.format(
+                "No implementation of scalar function %s found in %s.\n"
+                    + " 1. Create a class implementing %s and annotate it with 
@AutoService(%s.class).\n"
+                    + " 2. Add function %s to the class's 
userDefinedScalarFunctions implementation.",
+                functionFullName,
+                jarPath,
+                UdfProvider.class.getSimpleName(),
+                UdfProvider.class.getSimpleName(),
+                functionFullName));
+      }
+      return functionDefinitions.javaScalarFunctions.get(functionPath);
+    } catch (IOException e) {
+      throw new RuntimeException(
+          String.format(
+              "Failed to load user-defined scalar function %s from %s", 
functionFullName, jarPath),
+          e);
+    }
+  }
+
+  /**
+   * Load a user-defined aggregate function from the specified jar.
+   *
+   * <p><strong>WARNING</strong>: The first time a jar is loaded, it is added 
to the thread's
+   * context {@link ClassLoader} so that the jar can be staged by the runner.
+   */
+  public Combine.CombineFn loadAggregateFunction(List<String> functionPath, 
String jarPath) {
+    String functionFullName = String.join(".", functionPath);
+    try {
+      UserFunctionDefinitions functionDefinitions = loadJar(jarPath);
+      if 
(!functionDefinitions.javaAggregateFunctions.containsKey(functionPath)) {
+        throw new IllegalArgumentException(
+            String.format(
+                "No implementation of aggregate function %s found in %s.\n"
+                    + " 1. Create a class implementing %s and annotate it with 
@AutoService(%s.class).\n"
+                    + " 2. Add function %s to the class's 
userDefinedAggregateFunctions implementation.",
+                functionFullName,
+                jarPath,
+                UdfProvider.class.getSimpleName(),
+                UdfProvider.class.getSimpleName(),
+                functionFullName));
+      }
+      return functionDefinitions.javaAggregateFunctions.get(functionPath);
+    } catch (IOException e) {
+      throw new RuntimeException(
+          String.format(
+              "Failed to load user-defined aggregate function %s from %s",
+              functionFullName, jarPath),
+          e);
+    }
+  }
+
+  private ClassLoader createAndSetClassLoader(String inputJarPath) throws 
IOException {
+    Preconditions.checkArgument(!inputJarPath.isEmpty(), "Jar path cannot be 
empty.");
+    ResourceId inputJar = FileSystems.matchNewResource(inputJarPath, false /* 
is directory */);
+    File tmpJar = File.createTempFile("sql-udf-", inputJar.getFilename());
+    FileSystems.copy(
+        Collections.singletonList(inputJar),
+        Collections.singletonList(
+            FileSystems.matchNewResource(tmpJar.getAbsolutePath(), false /* is 
directory */)));

Review comment:
       Is it possible to have a verification after the copy is done? E.g. 
verify file size or MD5 hash? I am thinking if user query has an `function not 
found` issue due to a bad downloaded jar, we can locate the root cause based on 
log? Otherwise such issue might be hard to debug.




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