v1

paimon-spark/paimon-spark-3.3/src/test/scala/org/apache/paimon/spark/sql/SparkV2FilterConverterTest.scala

@@ -0,0 +1,21 @@
+/*
+ * 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.paimon.spark.sql
+
+class SparkV2FilterConverterTest extends SparkV2FilterConverterTestBase {}

paimon-spark/paimon-spark-3.4/src/test/scala/org/apache/paimon/spark/sql/SparkV2FilterConverterTest.scala

@@ -0,0 +1,21 @@
+/*
+ * 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.paimon.spark.sql
+
+class SparkV2FilterConverterTest extends SparkV2FilterConverterTestBase {}

paimon-spark/paimon-spark-3.5/src/test/scala/org/apache/paimon/spark/sql/SparkV2FilterConverterTest.scala

@@ -0,0 +1,21 @@
+/*
+ * 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.paimon.spark.sql
+
+class SparkV2FilterConverterTest extends SparkV2FilterConverterTestBase {}

paimon-spark/paimon-spark-4.0/src/test/scala/org/apache/paimon/spark/sql/SparkV2FilterConverterTest.scala

@@ -0,0 +1,21 @@
+/*
+ * 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.paimon.spark.sql
+
+class SparkV2FilterConverterTest extends SparkV2FilterConverterTestBase {}

paimon-spark/paimon-spark-common/src/main/java/org/apache/paimon/spark/SparkFilterConverter.java

@@ -105,10 +105,10 @@ public Predicate convert(Filter filter) {
             return builder.equal(index, literal);
         } else if (filter instanceof EqualNullSafe) {
             EqualNullSafe eq = (EqualNullSafe) filter;
+            int index = fieldIndex(eq.attribute());
             if (eq.value() == null) {
-                return builder.isNull(fieldIndex(eq.attribute()));
+                return builder.isNull(index);
             } else {
-                int index = fieldIndex(eq.attribute());
                 Object literal = convertLiteral(index, eq.value());
                 return builder.equal(index, literal);
             }

paimon-spark/paimon-spark-common/src/main/scala/org/apache/paimon/spark/SparkV2FilterConverter.scala

@@ -0,0 +1,238 @@
+/*
+ * 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.paimon.spark
+
+import org.apache.paimon.data.{BinaryString, Decimal, Timestamp}
+import org.apache.paimon.predicate.{Predicate, PredicateBuilder}
+import org.apache.paimon.types.{DataTypeRoot, DecimalType, RowType}
+import org.apache.paimon.types.DataTypeRoot._
+
+import org.apache.spark.sql.connector.expressions.{Literal, NamedReference}
+import org.apache.spark.sql.connector.expressions.filter.{And, Not, Or, Predicate => SparkPredicate}
+
+import scala.collection.JavaConverters._
+
+/** Conversion from [[SparkPredicate]] to [[Predicate]]. */
+case class SparkV2FilterConverter(rowType: RowType) {
+
+  import org.apache.paimon.spark.SparkV2FilterConverter._
+
+  val builder = new PredicateBuilder(rowType)
+
+  def convert(sparkPredicate: SparkPredicate): Predicate = {
+    sparkPredicate.name() match {
+      case EQUAL_TO =>
+        BinaryPredicate.unapply(sparkPredicate) match {
+          case Some((fieldName, literal)) =>
+            // TODO deal with isNaN
+            val index = fieldIndex(fieldName)
+            builder.equal(index, convertLiteral(index, literal))
+        }
+
+      case EQUAL_NULL_SAFE =>
+        BinaryPredicate.unapply(sparkPredicate) match {
+          case Some((fieldName, literal)) =>
+            val index = fieldIndex(fieldName)
+            if (literal == null) {
+              builder.isNull(index)
+            } else {
+              builder.equal(index, convertLiteral(index, literal))
+            }
+        }
+
+      case GREATER_THAN =>
+        BinaryPredicate.unapply(sparkPredicate) match {
+          case Some((fieldName, literal)) =>
+            val index = fieldIndex(fieldName)
+            builder.greaterThan(index, convertLiteral(index, literal))
+        }
+
+      case GREATER_THAN_OR_EQUAL =>
+        BinaryPredicate.unapply(sparkPredicate) match {
+          case Some((fieldName, literal)) =>
+            val index = fieldIndex(fieldName)
+            builder.greaterOrEqual(index, convertLiteral(index, literal))
+        }
+
+      case LESS_THAN =>
+        BinaryPredicate.unapply(sparkPredicate) match {
+          case Some((fieldName, literal)) =>
+            val index = fieldIndex(fieldName)
+            builder.lessThan(index, convertLiteral(index, literal))
+        }
+
+      case LESS_THAN_OR_EQUAL =>
+        BinaryPredicate.unapply(sparkPredicate) match {
+          case Some((fieldName, literal)) =>
+            val index = fieldIndex(fieldName)
+            builder.lessOrEqual(index, convertLiteral(index, literal))
+        }
+
+      case IN =>
+        MultiPredicate.unapply(sparkPredicate) match {
+          case Some((fieldName, literals)) =>
+            val index = fieldIndex(fieldName)
+            literals.map(convertLiteral(index, _)).toList.asJava
+            builder.in(index, literals.map(convertLiteral(index, _)).toList.asJava)
+        }
+
+      case IS_NULL =>
+        UnaryPredicate.unapply(sparkPredicate) match {
+          case Some(fieldName) =>
+            builder.isNull(fieldIndex(fieldName))
+        }
+
+      case IS_NOT_NULL =>
+        UnaryPredicate.unapply(sparkPredicate) match {
+          case Some(fieldName) =>
+            builder.isNotNull(fieldIndex(fieldName))
+        }
+
+      case AND =>
+        val and = sparkPredicate.asInstanceOf[And]
+        PredicateBuilder.and(convert(and.left), convert(and.right()))
+
+      case OR =>
+        val or = sparkPredicate.asInstanceOf[Or]
+        PredicateBuilder.or(convert(or.left), convert(or.right()))
+
+      case NOT =>
+        val not = sparkPredicate.asInstanceOf[Not]
+        val negate = convert(not.child()).negate()
+        if (negate.isPresent) {
+          negate.get()
+        } else {
+          throw new UnsupportedOperationException(s"Convert $sparkPredicate is unsupported.")
+        }
+
+      case STRING_START_WITH =>
+        BinaryPredicate.unapply(sparkPredicate) match {
+          case Some((fieldName, literal)) =>
+            val index = fieldIndex(fieldName)
+            builder.startsWith(index, convertLiteral(index, literal))
+        }
+
+      case STRING_END_WITH =>
+        BinaryPredicate.unapply(sparkPredicate) match {
+          case Some((fieldName, literal)) =>
+            val index = fieldIndex(fieldName)
+            builder.endsWith(index, convertLiteral(index, literal))
+        }
+
+      case STRING_CONTAINS =>
+        BinaryPredicate.unapply(sparkPredicate) match {
+          case Some((fieldName, literal)) =>
+            val index = fieldIndex(fieldName)
+            builder.contains(index, convertLiteral(index, literal))
+        }
+
+      // TODO: AlwaysTrue, AlwaysFalse
+      case _ => throw new UnsupportedOperationException(s"Convert $sparkPredicate is unsupported.")
+    }
+  }
+
+  private object UnaryPredicate {
+    def unapply(sparkPredicate: SparkPredicate): Option[String] = {
+      sparkPredicate.children() match {
+        case Array(n: NamedReference) => Some(toFieldName(n))
+        case _ => None
+      }
+    }
+  }
+
+  private object BinaryPredicate {
+    def unapply(sparkPredicate: SparkPredicate): Option[(String, Any)] = {
+      sparkPredicate.children() match {
+        case Array(l: NamedReference, r: Literal[_]) => Some((toFieldName(l), r.value))
+        case Array(l: Literal[_], r: NamedReference) => Some((toFieldName(r), l.value))
+        case _ => None
+      }
+    }
+  }
+
+  private object MultiPredicate {
+    def unapply(sparkPredicate: SparkPredicate): Option[(String, Array[Any])] = {
+      sparkPredicate.children() match {
+        case Array(first: NamedReference, rest @ _*)
+            if rest.nonEmpty && rest.forall(_.isInstanceOf[Literal[_]]) =>
+          Some(toFieldName(first), rest.map(_.asInstanceOf[Literal[_]].value).toArray)
+        case _ => None
+      }
+    }
+  }
+
+  private def fieldIndex(fieldName: String): Int = {
+    val index = rowType.getFieldIndex(fieldName)
+    // TODO: support nested field
+    if (index == -1) {
+      throw new UnsupportedOperationException(s"Nested field '$fieldName' is unsupported.")
+    }
+    index
+  }
+
+  private def convertLiteral(index: Int, value: Any): AnyRef = {
+    if (value == null) {
+      return null
+    }
+
+    val dataType = rowType.getTypeAt(index)
+    dataType.getTypeRoot match {
+      case BOOLEAN | BIGINT | DOUBLE | TINYINT | SMALLINT | INTEGER | FLOAT | DATE =>
+        value.asInstanceOf[AnyRef]
+      case DataTypeRoot.VARCHAR =>
+        BinaryString.fromString(value.toString)
+      case DataTypeRoot.DECIMAL =>
+        val decimalType = dataType.asInstanceOf[DecimalType]
+        val precision = decimalType.getPrecision
+        val scale = decimalType.getScale
+        Decimal.fromBigDecimal(
+          value.asInstanceOf[org.apache.spark.sql.types.Decimal].toJavaBigDecimal,
+          precision,
+          scale)
+      case DataTypeRoot.TIMESTAMP_WITH_LOCAL_TIME_ZONE =>
+        Timestamp.fromMicros(value.asInstanceOf[Long])
+      case DataTypeRoot.TIMESTAMP_WITHOUT_TIME_ZONE =>
+        Timestamp.fromMicros(value.asInstanceOf[Long])
+      case _ =>
+        throw new UnsupportedOperationException(
+          s"Convert value: $value to datatype: $dataType is unsupported.")
+    }
+  }
+
+  private def toFieldName(ref: NamedReference): String = ref.fieldNames().mkString(".")
+}
+
+object SparkV2FilterConverter {
+
+  private val EQUAL_TO = "="
+  private val EQUAL_NULL_SAFE = "<=>"
+  private val GREATER_THAN = ">"
+  private val GREATER_THAN_OR_EQUAL = ">="
+  private val LESS_THAN = "<"
+  private val LESS_THAN_OR_EQUAL = "<="
+  private val IN = "IN"
+  private val IS_NULL = "IS_NULL"
+  private val IS_NOT_NULL = "IS_NOT_NULL"
+  private val AND = "AND"
+  private val OR = "OR"
+  private val NOT = "NOT"
+  private val STRING_START_WITH = "STARTS_WITH"
+  private val STRING_END_WITH = "ENDS_WITH"
+  private val STRING_CONTAINS = "CONTAINS"
+}

paimon-spark/paimon-spark-common/src/main/scala/org/apache/spark/sql/PaimonUtils.scala

@@ -24,8 +24,10 @@ import org.apache.spark.sql.catalyst.analysis.Resolver
 import org.apache.spark.sql.catalyst.catalog.CatalogTypes.TablePartitionSpec
 import org.apache.spark.sql.catalyst.expressions.{Attribute, Expression}
 import org.apache.spark.sql.catalyst.plans.logical.LogicalPlan
-import org.apache.spark.sql.connector.expressions.{FieldReference, NamedReference}
+import org.apache.spark.sql.connector.expressions.FieldReference
+import org.apache.spark.sql.connector.expressions.filter.Predicate
 import org.apache.spark.sql.execution.datasources.DataSourceStrategy
+import org.apache.spark.sql.execution.datasources.v2.DataSourceV2Strategy.translateFilterV2WithMapping
 import org.apache.spark.sql.sources.Filter
 import org.apache.spark.sql.types.StructType
 import org.apache.spark.sql.util.PartitioningUtils
@@ -68,8 +70,16 @@ object PaimonUtils {
     DataSourceStrategy.translateFilter(predicate, supportNestedPredicatePushdown)
   }
 
-  def fieldReference(name: String): NamedReference = {
-    FieldReference(Seq(name))
+  def translateFilterV2(predicate: Expression): Option[Predicate] = {
+    translateFilterV2WithMapping(predicate, None)
+  }
+
+  def fieldReference(name: String): FieldReference = {
+    fieldReference(Seq(name))
+  }
+
+  def fieldReference(parts: Seq[String]): FieldReference = {
+    FieldReference(parts)
   }
 
   def bytesToString(size: Long): String = {

paimon-spark/paimon-spark-ut/src/test/scala/org/apache/paimon/spark/PaimonSparkTestBase.scala

@@ -81,6 +81,7 @@ class PaimonSparkTestBase
     super.beforeAll()
     spark.sql(s"USE paimon")
     spark.sql(s"CREATE DATABASE IF NOT EXISTS paimon.$dbName0")
+    spark.sql(s"USE paimon.$dbName0")
   }
 
   override protected def afterAll(): Unit = {