Indhumathi27 commented on a change in pull request #3557: [CARBONDATA-3649] 
Hive expression is pushed down to carbon
URL: https://github.com/apache/carbondata/pull/3557#discussion_r362794647
 
 

 ##########
 File path: 
hadoop/src/main/java/org/apache/carbondata/hadoop/util/Hive2CarbonExpression.java
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 @@ -0,0 +1,177 @@
+/*
+ * 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.carbondata.hadoop.util;
+
+import java.util.ArrayList;
+import java.util.List;
+
+import org.apache.carbondata.common.logging.LogServiceFactory;
+import org.apache.carbondata.core.metadata.datatype.DataType;
+import org.apache.carbondata.core.metadata.datatype.DataTypes;
+import org.apache.carbondata.core.scan.expression.ColumnExpression;
+import org.apache.carbondata.core.scan.expression.Expression;
+import org.apache.carbondata.core.scan.expression.LiteralExpression;
+import 
org.apache.carbondata.core.scan.expression.conditional.EqualToExpression;
+import 
org.apache.carbondata.core.scan.expression.conditional.GreaterThanEqualToExpression;
+import 
org.apache.carbondata.core.scan.expression.conditional.GreaterThanExpression;
+import org.apache.carbondata.core.scan.expression.conditional.InExpression;
+import 
org.apache.carbondata.core.scan.expression.conditional.LessThanEqualToExpression;
+import 
org.apache.carbondata.core.scan.expression.conditional.LessThanExpression;
+import org.apache.carbondata.core.scan.expression.conditional.ListExpression;
+import 
org.apache.carbondata.core.scan.expression.conditional.NotEqualsExpression;
+import org.apache.carbondata.core.scan.expression.logical.AndExpression;
+import org.apache.carbondata.core.scan.expression.logical.OrExpression;
+import org.apache.carbondata.hadoop.api.CarbonInputFormat;
+
+import org.apache.hadoop.hive.ql.plan.ExprNodeDesc;
+import org.apache.hadoop.hive.ql.plan.ExprNodeGenericFuncDesc;
+import org.apache.hadoop.hive.ql.udf.generic.GenericUDF;
+import org.apache.hadoop.hive.ql.udf.generic.GenericUDFIn;
+import org.apache.hadoop.hive.ql.udf.generic.GenericUDFOPAnd;
+import org.apache.hadoop.hive.ql.udf.generic.GenericUDFOPEqual;
+import org.apache.hadoop.hive.ql.udf.generic.GenericUDFOPEqualOrGreaterThan;
+import org.apache.hadoop.hive.ql.udf.generic.GenericUDFOPEqualOrLessThan;
+import org.apache.hadoop.hive.ql.udf.generic.GenericUDFOPGreaterThan;
+import org.apache.hadoop.hive.ql.udf.generic.GenericUDFOPLessThan;
+import org.apache.hadoop.hive.ql.udf.generic.GenericUDFOPNotEqual;
+import org.apache.hadoop.hive.ql.udf.generic.GenericUDFOPNotNull;
+import org.apache.hadoop.hive.ql.udf.generic.GenericUDFOPNull;
+import org.apache.hadoop.hive.ql.udf.generic.GenericUDFOPOr;
+import org.apache.log4j.Logger;
+
+/**
+ * @description: hive expression to carbon expression
+ */
+public class Hive2CarbonExpression {
+  public static final int left = 0;
+  public static final int right = 1;
+  private static final Logger LOG =
+      LogServiceFactory.getLogService(CarbonInputFormat.class.getName());
+
+  public static Expression convertExprHive2Carbon(ExprNodeDesc exprNodeDesc) {
+    if (exprNodeDesc instanceof ExprNodeGenericFuncDesc) {
+      ExprNodeGenericFuncDesc exprNodeGenericFuncDesc = 
(ExprNodeGenericFuncDesc) exprNodeDesc;
+      GenericUDF udf = exprNodeGenericFuncDesc.getGenericUDF();
+      List<ExprNodeDesc> ll = exprNodeGenericFuncDesc.getChildren();
+      if (udf instanceof GenericUDFIn) {
+        ColumnExpression columnExpression = new 
ColumnExpression(ll.get(left).getCols().get(left),
+            getDateType(ll.get(left).getTypeString()));
+        List<Expression> listExpr = new ArrayList<>();
+        for (int i = right; i < ll.size(); i++) {
+          LiteralExpression literalExpression = new 
LiteralExpression(ll.get(i).getExprString(),
+              getDateType(ll.get(left).getTypeString()));
+          listExpr.add(literalExpression);
+        }
+        ListExpression listExpression = new ListExpression(listExpr);
+        return new InExpression(columnExpression, listExpression);
+      } else if (udf instanceof GenericUDFOPOr) {
+        Expression leftExpression =
+            
convertExprHive2Carbon(exprNodeGenericFuncDesc.getChildren().get(left));
+        Expression rightExpression =
+            
convertExprHive2Carbon(exprNodeGenericFuncDesc.getChildren().get(right));
+        return new OrExpression(leftExpression, rightExpression);
+      } else if (udf instanceof GenericUDFOPAnd) {
+        Expression leftExpression =
+            
convertExprHive2Carbon(exprNodeGenericFuncDesc.getChildren().get(left));
+        Expression rightExpression =
+            
convertExprHive2Carbon(exprNodeGenericFuncDesc.getChildren().get(right));
+        return new AndExpression(leftExpression, rightExpression);
+
+      } else if (udf instanceof GenericUDFOPEqual) {
+        ColumnExpression columnExpression = new 
ColumnExpression(ll.get(left).getCols().get(left),
+            getDateType(ll.get(left).getTypeString()));
+        LiteralExpression literalExpression =
+            new LiteralExpression(ll.get(right).getExprString().replace("'", 
""),
+                getDateType(ll.get(right).getTypeString()));
+        return new EqualToExpression(columnExpression, literalExpression);
+      } else if (udf instanceof GenericUDFOPEqualOrGreaterThan) {
+        ColumnExpression columnExpression = new 
ColumnExpression(ll.get(left).getCols().get(left),
+            getDateType(ll.get(left).getTypeString()));
+        LiteralExpression literalExpression = new 
LiteralExpression(ll.get(right).getExprString(),
+            getDateType(ll.get(left).getTypeString()));
+        return new GreaterThanEqualToExpression(columnExpression, 
literalExpression);
+      } else if (udf instanceof GenericUDFOPGreaterThan) {
+        ColumnExpression columnExpression = new 
ColumnExpression(ll.get(left).getCols().get(left),
+            getDateType(ll.get(left).getTypeString()));
+        LiteralExpression literalExpression = new 
LiteralExpression(ll.get(right).getExprString(),
+            getDateType(ll.get(left).getTypeString()));
+        return new GreaterThanExpression(columnExpression, literalExpression);
+      } else if (udf instanceof GenericUDFOPNotEqual) {
+        ColumnExpression columnExpression = new 
ColumnExpression(ll.get(left).getCols().get(left),
+            getDateType(ll.get(left).getTypeString()));
+        LiteralExpression literalExpression = new 
LiteralExpression(ll.get(right).getExprString(),
+            getDateType(ll.get(left).getTypeString()));
+        return new NotEqualsExpression(columnExpression, literalExpression);
+      } else if (udf instanceof GenericUDFOPEqualOrLessThan) {
+        ColumnExpression columnExpression = new 
ColumnExpression(ll.get(left).getCols().get(left),
+            getDateType(ll.get(left).getTypeString()));
+        LiteralExpression literalExpression = new 
LiteralExpression(ll.get(right).getExprString(),
+            getDateType(ll.get(left).getTypeString()));
+        return new LessThanEqualToExpression(columnExpression, 
literalExpression);
+      } else if (udf instanceof GenericUDFOPLessThan) {
+        ColumnExpression columnExpression = new 
ColumnExpression(ll.get(left).getCols().get(left),
+            getDateType(ll.get(left).getTypeString()));
+        LiteralExpression literalExpression = new 
LiteralExpression(ll.get(right).getExprString(),
+            getDateType(ll.get(left).getTypeString()));
+        return new LessThanExpression(columnExpression, literalExpression);
+      } else if (udf instanceof GenericUDFOPNull) {
+        ColumnExpression columnExpression = new 
ColumnExpression(ll.get(left).getCols().get(left),
+            getDateType(ll.get(left).getTypeString()));
+        LiteralExpression literalExpression = new LiteralExpression(null, 
null);
+        return new EqualToExpression(columnExpression, literalExpression, 
true);
+      } else if (udf instanceof GenericUDFOPNotNull) {
+        ColumnExpression columnExpression = new 
ColumnExpression(ll.get(left).getCols().get(left),
+            getDateType(ll.get(left).getTypeString()));
+        LiteralExpression literalExpression = new LiteralExpression(null, 
null);
+        return new NotEqualsExpression(columnExpression, literalExpression, 
true);
+      } else {
+        LOG.error("error:not find type" + udf.toString());
+      }
+    }
+    return null;
+  }
+
+  public static DataType getDateType(String type) {
+    if (type.toUpperCase().endsWith("INT")) {
+      return DataTypes.INT;
+    } else if (type.toUpperCase().endsWith("STRING")) {
+      return DataTypes.STRING;
+    } else if (type.toUpperCase().endsWith("LONG")) {
+      return DataTypes.LONG;
+    } else if (type.toUpperCase().endsWith("FLOAT")) {
+      return DataTypes.FLOAT;
+    } else if (type.toUpperCase().endsWith("DATE")) {
+      return DataTypes.DATE;
+    } else if (type.toUpperCase().endsWith("TIMESTAMP")) {
+      return DataTypes.TIMESTAMP;
+    } else if (type.toUpperCase().endsWith("DOUBLE")) {
+      return DataTypes.DOUBLE;
+    } else if (type.toUpperCase().endsWith("NULL")) {
+      return DataTypes.NULL;
+    } else if (type.toUpperCase().endsWith("BYTE")) {
+      return DataTypes.BYTE;
+    } else if (type.toUpperCase().endsWith("SHORT_INT")) {
+      return DataTypes.SHORT_INT;
+    } else if (type.toUpperCase().endsWith("VARCHAR")) {
+      return DataTypes.VARCHAR;
+    }
+    return null;
 
 Review comment:
   Is hive pushdown unsupported for complex data types?

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