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Posted to issues@iceberg.apache.org by GitBox <gi...@apache.org> on 2021/07/06 15:12:40 UTC

[GitHub] [iceberg] RussellSpitzer commented on a change in pull request #2757: Add support for reading/writing timestamps without timezone.

RussellSpitzer commented on a change in pull request #2757:
URL: https://github.com/apache/iceberg/pull/2757#discussion_r664647453



##########
File path: spark/src/test/java/org/apache/iceberg/spark/source/TestTimestampWithoutZone.java
##########
@@ -0,0 +1,284 @@
+/*
+ * 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.source;
+
+import java.io.File;
+import java.io.IOException;
+import java.time.LocalDateTime;
+import java.util.List;
+import java.util.Locale;
+import java.util.UUID;
+import java.util.stream.Collectors;
+import java.util.stream.Stream;
+import org.apache.hadoop.conf.Configuration;
+import org.apache.iceberg.AssertHelpers;
+import org.apache.iceberg.DataFile;
+import org.apache.iceberg.DataFiles;
+import org.apache.iceberg.FileFormat;
+import org.apache.iceberg.PartitionSpec;
+import org.apache.iceberg.Schema;
+import org.apache.iceberg.Table;
+import org.apache.iceberg.data.GenericAppenderFactory;
+import org.apache.iceberg.data.GenericRecord;
+import org.apache.iceberg.data.Record;
+import org.apache.iceberg.hadoop.HadoopTables;
+import org.apache.iceberg.io.FileAppender;
+import org.apache.iceberg.relocated.com.google.common.collect.Lists;
+import org.apache.iceberg.spark.SparkUtil;
+import org.apache.iceberg.spark.data.GenericsHelpers;
+import org.apache.iceberg.types.Types;
+import org.apache.spark.sql.Dataset;
+import org.apache.spark.sql.Row;
+import org.apache.spark.sql.SaveMode;
+import org.apache.spark.sql.SparkSession;
+import org.junit.AfterClass;
+import org.junit.Assert;
+import org.junit.Before;
+import org.junit.BeforeClass;
+import org.junit.Rule;
+import org.junit.Test;
+import org.junit.rules.ExpectedException;
+import org.junit.rules.TemporaryFolder;
+import org.junit.runner.RunWith;
+import org.junit.runners.Parameterized;
+
+import static org.apache.iceberg.Files.localOutput;
+
+@RunWith(Parameterized.class)
+public abstract class TestTimestampWithoutZone {
+  private static final Configuration CONF = new Configuration();
+  private static final HadoopTables TABLES = new HadoopTables(CONF);
+
+  private static final Schema SCHEMA = new Schema(
+      Types.NestedField.required(1, "id", Types.LongType.get()),
+      Types.NestedField.optional(2, "ts", Types.TimestampType.withoutZone()),
+      Types.NestedField.optional(3, "data", Types.StringType.get())
+  );
+
+  private static SparkSession spark = null;
+
+  @BeforeClass
+  public static void startSpark() {
+    TestTimestampWithoutZone.spark = SparkSession.builder().master("local[2]").getOrCreate();
+  }
+
+  @AfterClass
+  public static void stopSpark() {
+    SparkSession currentSpark = TestTimestampWithoutZone.spark;
+    TestTimestampWithoutZone.spark = null;
+    currentSpark.stop();
+  }
+
+  @Rule
+  public TemporaryFolder temp = new TemporaryFolder();
+
+  private final String format;
+  private final boolean vectorized;
+
+  @Parameterized.Parameters(name = "format = {0}, vectorized = {1}")
+  public static Object[][] parameters() {
+    return new Object[][] {
+        { "parquet", false },
+        { "parquet", true },
+        { "avro", false }
+    };
+  }
+
+  public TestTimestampWithoutZone(String format, boolean vectorized) {
+    this.format = format;
+    this.vectorized = vectorized;
+  }
+
+  private File parent = null;
+  private File unpartitioned = null;
+  private List<Record> records = null;
+
+  @Before
+  public void writeUnpartitionedTable() throws IOException {
+    this.parent = temp.newFolder("TestTimestampWithoutZone");
+    this.unpartitioned = new File(parent, "unpartitioned");
+    File dataFolder = new File(unpartitioned, "data");
+    Assert.assertTrue("Mkdir should succeed", dataFolder.mkdirs());
+
+    Table table = TABLES.create(SCHEMA, PartitionSpec.unpartitioned(), unpartitioned.toString());
+    Schema tableSchema = table.schema(); // use the table schema because ids are reassigned
+
+    FileFormat fileFormat = FileFormat.valueOf(format.toUpperCase(Locale.ENGLISH));
+
+    File testFile = new File(dataFolder, fileFormat.addExtension(UUID.randomUUID().toString()));
+
+    // create records using the table's schema
+    this.records = testRecords(tableSchema);
+
+    try (FileAppender<Record> writer = new GenericAppenderFactory(tableSchema).newAppender(
+        localOutput(testFile), fileFormat)) {
+      writer.addAll(records);
+    }
+
+    DataFile file = DataFiles.builder(PartitionSpec.unpartitioned())
+        .withRecordCount(records.size())
+        .withFileSizeInBytes(testFile.length())
+        .withPath(testFile.toString())
+        .build();
+
+    table.newAppend().appendFile(file).commit();
+  }
+
+  @Test
+  public void testUnpartitionedTimestampWithoutZone() {
+    assertEqualsSafe(SCHEMA.asStruct(), records, read(unpartitioned.toString(), vectorized));
+  }
+
+  @Test
+  public void testUnpartitionedTimestampWithoutZoneProjection() {
+    Schema projection = SCHEMA.select("id", "ts");
+    assertEqualsSafe(projection.asStruct(),
+        records.stream().map(r -> projectFlat(projection, r)).collect(Collectors.toList()),
+        read(unpartitioned.toString(), vectorized, "id", "ts"));
+  }
+
+  @Rule
+  public ExpectedException exception = ExpectedException.none();
+
+  @Test
+  public void testUnpartitionedTimestampWithoutZoneError() {
+    AssertHelpers.assertThrows(String.format("Read operation performed on a timestamp without timezone field while " +
+                    "'%s' set to false should throw exception",
+            SparkUtil.HANDLE_TIMESTAMP_WITHOUT_TIMEZONE),
+            IllegalArgumentException.class, SparkUtil.TIMESTAMP_WITHOUT_TIMEZONE_ERROR, () -> spark.read()
+                    .format("iceberg")
+            .option("vectorization-enabled", String.valueOf(vectorized))
+            .option(SparkUtil.HANDLE_TIMESTAMP_WITHOUT_TIMEZONE, "false")
+            .load(unpartitioned.toString())
+            .collectAsList());
+  }
+
+  @Test
+  public void testUnpartitionedTimestampWithoutZoneAppend() {
+    spark.read().format("iceberg")
+            .option(SparkUtil.HANDLE_TIMESTAMP_WITHOUT_TIMEZONE, "true")
+            .option("vectorization-enabled", String.valueOf(vectorized))
+            .load(unpartitioned.toString())
+

Review comment:
       nit: Empty Line




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