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Posted to issues@iceberg.apache.org by GitBox <gi...@apache.org> on 2021/12/14 03:33:09 UTC

[GitHub] [iceberg] xiaotianzhang01 commented on a change in pull request #3708: Spark: Add register Truncate UDF

xiaotianzhang01 commented on a change in pull request #3708:
URL: https://github.com/apache/iceberg/pull/3708#discussion_r768290907



##########
File path: spark/v3.2/spark/src/test/java/org/apache/iceberg/spark/sql/TestPartitionedWritesAsSelect.java
##########
@@ -0,0 +1,181 @@
+/*
+ * 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.iceberg.spark.sql;
+
+import java.util.List;
+import java.util.Map;
+import java.util.stream.IntStream;
+import org.apache.iceberg.AssertHelpers;
+import org.apache.iceberg.relocated.com.google.common.collect.ImmutableMap;
+import org.apache.iceberg.spark.IcebergSpark;
+import org.apache.iceberg.spark.SparkCatalogTestBase;
+import org.apache.iceberg.spark.SparkSessionCatalog;
+import org.apache.spark.SparkException;
+import org.apache.spark.sql.AnalysisException;
+import org.apache.spark.sql.types.DataTypes;
+import org.junit.After;
+import org.junit.Assert;
+import org.junit.Before;
+import org.junit.Test;
+import org.junit.runners.Parameterized;
+
+public class TestPartitionedWritesAsSelect extends SparkCatalogTestBase {
+
+  private final String targetTable = "target_table";
+
+  public TestPartitionedWritesAsSelect(String catalogName, String implementation, Map<String, String> config) {
+    super(catalogName, implementation, config);
+  }
+
+  @Parameterized.Parameters(name = "catalogName = {0}, implementation = {1}, config = {2}")
+  public static Object[][] parameters() {
+    return new Object[][]{{"spark_catalog",
+        SparkSessionCatalog.class.getName(),
+        ImmutableMap.of(
+            "type", "hive",
+            "default-namespace", "default",
+            "parquet-enabled", "true",
+            "cache-enabled", "false"
+        )}
+    };
+  }
+
+  @Before
+  public void createTables() {
+    sql("CREATE TABLE %s (id bigint, data string, category string, ts timestamp)" +
+        "USING iceberg", tableName);
+  }
+
+  @After
+  public void removeTables() {
+    sql("DROP TABLE IF EXISTS %s", tableName);
+    sql("DROP TABLE IF EXISTS %s", targetTable);
+  }
+
+  @Test
+  public void testInsertAsSelectAppend() {
+    insertData(3);
+    List<Object[]> expected = currentData();
+
+    sql("CREATE TABLE %s (id bigint, data string, category string, ts timestamp)" +
+        "USING iceberg PARTITIONED BY (days(ts), category)", targetTable);
+
+    sql("INSERT INTO %s SELECT id, data, category, ts FROM %s ORDER BY ts,category", targetTable, tableName);
+    Assert.assertEquals("Should have 24 rows after insert",
+        3 * 8L, scalarSql("SELECT count(*) FROM %s", targetTable));
+
+    assertEquals("Row data should match expected",
+        expected, sql("SELECT * FROM %s ORDER BY id", targetTable));
+  }
+
+  @Test
+  public void testInsertAsSelectWithBucket() {
+    insertData(3);
+    List<Object[]> expected = currentData();
+
+    sql("CREATE TABLE %s (id bigint, data string, category string, ts timestamp)" +
+        "USING iceberg PARTITIONED BY (bucket(8, data))", targetTable);
+
+    IcebergSpark.registerBucketUDF(spark, "iceberg_bucket8", DataTypes.StringType, 8);
+    sql("INSERT INTO %s SELECT id, data, category, ts FROM %s ORDER BY iceberg_bucket8(data)", targetTable, tableName);
+    Assert.assertEquals("Should have 24 rows after insert",
+        3 * 8L, scalarSql("SELECT count(*) FROM %s", targetTable));
+
+    assertEquals("Row data should match expected",
+        expected, sql("SELECT * FROM %s ORDER BY id", targetTable));
+  }
+
+  @Test
+  public void testInsertAsSelectWithTruncate() {
+    insertData(3);
+    List<Object[]> expected = currentData();
+
+    sql("CREATE TABLE %s (id bigint, data string, category string, ts timestamp)" +
+        "USING iceberg PARTITIONED BY (truncate(data, 4), truncate(id, 4))", targetTable);
+
+    IcebergSpark.registerTruncateUDF(spark, "iceberg_truncate_string4", DataTypes.StringType, 4);
+    IcebergSpark.registerTruncateUDF(spark, "iceberg_truncate_long4", DataTypes.LongType, 4);
+    sql("INSERT INTO %s SELECT id, data, category, ts FROM %s " +
+        "ORDER BY iceberg_truncate_string4(data),iceberg_truncate_long4(id)", targetTable, tableName);
+    Assert.assertEquals("Should have 24 rows after insert",
+        3 * 8L, scalarSql("SELECT count(*) FROM %s", targetTable));
+
+    assertEquals("Row data should match expected",
+        expected, sql("SELECT * FROM %s ORDER BY id", targetTable));
+  }
+
+  @Test
+  public void testInsertAsSelectWithBucketFailure() {
+    insertData(3);
+
+    sql("CREATE TABLE %s (id bigint, data string, category string, ts timestamp)" +
+        "USING iceberg PARTITIONED BY (bucket(8, id))", targetTable);
+    AssertHelpers.assertThrows("should registered temporary function" +
+        "nor a permanent function registered in the database 'default'",
+        AnalysisException.class,
+        "Undefined function: 'iceberg_bucket8'",

Review comment:
       Thanks for your review.  This code is really redundant




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