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maluchari merged 3 commits into from
Jun 30, 2022
Merged

Enhance the UT for testing required fields with default values #113

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Enhance the UT for testing required fields with default values
maluchari Jun 7, 2022
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maluchari Jun 19, 2022
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maluchari Jun 24, 2022
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172 changes: 126 additions & 46 deletions ...test/java/org/apache/iceberg/spark/data/TestSparkAvroReaderForFieldsWithDefaultValue.java
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Original file line number Diff line number Diff line change
Expand Up @@ -21,6 +21,8 @@

import java.io.File;
import java.io.IOException;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
import org.apache.avro.generic.GenericData;
import org.apache.iceberg.Files;
Expand All @@ -31,17 +33,17 @@
import org.apache.iceberg.io.FileAppender;
import org.apache.iceberg.relocated.com.google.common.collect.ImmutableList;
import org.apache.iceberg.relocated.com.google.common.collect.Lists;
import org.apache.iceberg.types.Type;
import org.apache.iceberg.types.Types;
import org.apache.spark.sql.catalyst.InternalRow;
import org.apache.spark.sql.catalyst.expressions.GenericInternalRow;
import org.apache.spark.sql.catalyst.util.ArrayBasedMapData;
import org.apache.spark.sql.catalyst.util.GenericArrayData;
import org.apache.spark.unsafe.types.UTF8String;
import org.junit.Assert;
import org.junit.Rule;
import org.junit.Test;
import org.junit.rules.TemporaryFolder;

import static org.apache.avro.Schema.Type.INT;
import static org.apache.avro.Schema.Type.NULL;
import static org.apache.iceberg.spark.SparkSchemaUtil.convert;
import static org.apache.iceberg.spark.data.TestHelpers.assertEquals;

public class TestSparkAvroReaderForFieldsWithDefaultValue {

Expand All @@ -50,72 +52,150 @@ public class TestSparkAvroReaderForFieldsWithDefaultValue {

@Test
public void testAvroDefaultValues() throws IOException {
String indexFiledName = "index";
String nullableFiledName = "optionalFieldWithDefault";
String requiredFiledName = "requiredFieldWithDefault";
int defaultValue = -1;

// write records with initial writeSchema
org.apache.avro.Schema writeSchema = org.apache.avro.Schema.createRecord("root", null, null, false,
ImmutableList.of(new org.apache.avro.Schema.Field(indexFiledName, org.apache.avro.Schema.create(INT),
null, null), new org.apache.avro.Schema.Field(nullableFiledName,
org.apache.avro.Schema.createUnion(org.apache.avro.Schema.create(INT),
org.apache.avro.Schema.create(NULL)), null, defaultValue)));
String writeSchemaString = "{\n" +
" \"namespace\": \"com.n1\",\n" +
" \"type\": \"record\",\n" +
" \"name\": \"n1\",\n" +
" \"fields\": [\n" +
" {\n" +
" \"name\": \"f0\",\n" +
" \"type\": \"string\"\n" +
" }\n" +
" ]\n" +
"}";

org.apache.avro.Schema writeSchema = new org.apache.avro.Schema.Parser().parse(writeSchemaString);
org.apache.iceberg.Schema icebergWriteSchema = AvroSchemaUtil.toIceberg(writeSchema);

Schema icebergWriteSchema = AvroSchemaUtil.toIceberg(writeSchema);
List<GenericData.Record> expected = RandomData.generateList(icebergWriteSchema, 2, 0L);

File testFile = temp.newFile();
Assert.assertTrue("Delete should succeed", testFile.delete());

// write records with initial writeSchema
try (FileAppender<GenericData.Record> writer = Avro.write(Files.localOutput(testFile))
.schema(icebergWriteSchema)
.named("test")
.build()) {
.schema(icebergWriteSchema)
.named("test")
.build()) {
for (GenericData.Record rec : expected) {
writer.add(rec);
}
}

// evolve schema by adding a required field with default value
org.apache.avro.Schema evolvedSchema = org.apache.avro.Schema.createRecord("root", null, null, false,
ImmutableList.of(new org.apache.avro.Schema.Field(indexFiledName, org.apache.avro.Schema.create(INT),
null, null),
new org.apache.avro.Schema.Field(nullableFiledName,
org.apache.avro.Schema.createUnion(org.apache.avro.Schema.create(INT),
org.apache.avro.Schema.create(NULL)), null, defaultValue),
new org.apache.avro.Schema.Field(requiredFiledName, org.apache.avro.Schema.create(INT), null, defaultValue)
));
String evolvedSchemaString = "{\n" +
" \"namespace\": \"com.n1\",\n" +
" \"type\": \"record\",\n" +
" \"name\": \"n1\",\n" +
" \"fields\": [\n" +
" {\n" +
" \"name\": \"f0\",\n" +
" \"type\": \"string\"\n" +
" },\n" +
" {\n" +
" \"name\": \"f1\",\n" +
" \"type\": \"string\",\n" +
" \"default\": \"foo\"\n" +
" },\n" +
" {\n" +
" \"name\": \"f2\",\n" +
" \"type\": \"int\",\n" +
" \"default\": 1\n" +
" },\n" +
" {\n" +
" \"name\": \"f3\",\n" +
" \"type\": {\n" +
" \"type\": \"map\",\n" +
" \"values\" : \"int\"\n" +
" },\n" +
" \"default\": {\"a\": 1}\n" +
" },\n" +
" {\n" +
" \"name\": \"f4\",\n" +
" \"type\": {\n" +
" \"type\": \"array\",\n" +
" \"items\" : \"int\"\n" +
" },\n" +
" \"default\": [1, 2, 3]\n" +
" },\n" +
" {\n" +
" \"name\": \"f5\",\n" +
" \"type\": {\n" +
" \"type\": \"record\",\n" +
" \"name\": \"F5\",\n" +
" \"fields\" : [\n" +
" {\"name\": \"ff1\", \"type\": \"long\"},\n" +
" {\"name\": \"ff2\", \"type\": \"string\"}\n" +
" ]\n" +
" },\n" +
" \"default\": {\n" +
" \"ff1\": 999,\n" +
" \"ff2\": \"foo\"\n" +
" }\n" +
" },\n" +
" {\n" +
" \"name\": \"f6\",\n" +
" \"type\": {\n" +
" \"type\": \"map\",\n" +
" \"values\": {\n" +
" \"type\": \"array\",\n" +
" \"items\" : \"int\"\n" +
" }\n" +
" },\n" +
" \"default\": {\"key\": [1, 2, 3]}\n" +
" },\n" +
" {\n" +
" \"name\": \"f7\",\n" +
" \"type\": {\n" +
" \"type\": \"fixed\",\n" +
" \"name\": \"md5\",\n" +
" \"size\": 2\n" +
" },\n" +
" \"default\": \"FF\"\n" +
" }\n" +
" ]\n" +
"}";
org.apache.avro.Schema evolvedSchema = new org.apache.avro.Schema.Parser().parse(evolvedSchemaString);

// read written rows with evolved schema
List<InternalRow> rows;
Schema icebergReadSchema = AvroSchemaUtil.toIceberg(evolvedSchema);
// read written rows with evolved schema
try (AvroIterable<InternalRow> reader = Avro.read(Files.localInput(testFile))
.createReaderFunc(SparkAvroReader::new)
.project(icebergReadSchema)
.build()) {
.createReaderFunc(SparkAvroReader::new)
.project(icebergReadSchema)
.build()) {
rows = Lists.newArrayList(reader);
}

// validate all rows, and all fields are read properly
Assert.assertNotNull(rows);
Assert.assertEquals(expected.size(), rows.size());
for (int row = 0; row < expected.size(); row++) {
GenericData.Record expectedRow = expected.get(row);
InternalRow actualRow = rows.get(row);
List<Types.NestedField> fields = icebergReadSchema.asStruct().fields();

for (int i = 0; i < fields.size(); i += 1) {
Object expectedValue = null;
if (i >= writeSchema.getFields().size() && fields.get(i).hasDefaultValue()) {
expectedValue = fields.get(i).getDefaultValue();
} else if (i < writeSchema.getFields().size()) {
expectedValue = expectedRow.get(i);
}
Type fieldType = fields.get(i).type();
Object actualValue = actualRow.isNullAt(i) ? null : actualRow.get(i, convert(fieldType));
Assert.assertEquals(expectedValue, actualValue);
}
final InternalRow expectedRow = new GenericInternalRow(8);
expectedRow.update(0, UTF8String.fromString((String) expected.get(row).get(0)));
expectedRow.update(1, UTF8String.fromString("foo"));
expectedRow.update(2, 1);
expectedRow.update(3, new ArrayBasedMapData(
new GenericArrayData(Arrays.asList(UTF8String.fromString("a"))),
new GenericArrayData(Arrays.asList(1))));
expectedRow.update(4, new GenericArrayData(ImmutableList.of(1, 2, 3).toArray()));

final InternalRow nestedStructData = new GenericInternalRow(2);
nestedStructData.update(0, 999L);
nestedStructData.update(1, UTF8String.fromString("foo"));
expectedRow.update(5, nestedStructData);

List<GenericArrayData> listOfLists = new ArrayList<GenericArrayData>(1);
listOfLists.add(new GenericArrayData(ImmutableList.of(1, 2, 3).toArray()));
expectedRow.update(6, new ArrayBasedMapData(
new GenericArrayData(Arrays.asList(UTF8String.fromString("key"))),
new GenericArrayData(listOfLists.toArray())));

byte[] objGUIDByteArr = "FF".getBytes("UTF-8");
expectedRow.update(7, objGUIDByteArr);
assertEquals(icebergReadSchema, actualRow, expectedRow);

}
}
}
Expand Down