[GitHub] [incubator-hudi] prashantwason commented on a change in pull request #1310: [HUDI-601] Improve unit test coverage for HoodieAvroWriteSupport, HoodieRealtimeRecordReader, RealtimeCompactedRecordReader

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prashantwason commented on a change in pull request #1310: [HUDI-601] Improve unit test coverage for HoodieAvroWriteSupport, HoodieRealtimeRecordReader, RealtimeCompactedRecordReader
URL: https://github.com/apache/incubator-hudi/pull/1310#discussion_r404547258
 
 

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 File path: hudi-common/src/test/java/org/apache/hudi/avro/TestHoodieAvroWriteSupport.java
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+package org.apache.hudi.avro;
+
+import org.apache.avro.Schema;
+import org.apache.avro.generic.GenericData;
+import org.apache.avro.generic.GenericRecord;
+import org.apache.hadoop.fs.Path;
+import org.apache.hudi.avro.HoodieAvroWriteSupport;
+import org.apache.hudi.common.bloom.filter.BloomFilter;
+import org.apache.hudi.common.bloom.filter.BloomFilterFactory;
+import org.apache.hudi.common.bloom.filter.BloomFilterTypeCode;
+import org.apache.hudi.common.model.HoodieRecord;
+import org.apache.hudi.common.util.HoodieAvroUtils;
+import org.apache.parquet.avro.AvroSchemaConverter;
+import org.apache.parquet.hadoop.ParquetWriter;
+import org.apache.parquet.hadoop.metadata.CompressionCodecName;
+import org.junit.Assert;
+import org.junit.Rule;
+import org.junit.Test;
+import org.junit.rules.TemporaryFolder;
+import org.junit.runner.RunWith;
+import org.junit.runners.Parameterized;
+
+import java.io.IOException;
+import java.util.ArrayList;
+import java.util.List;
+import java.util.UUID;
+
+public class TestHoodieAvroWriteSupport {
+
+  @Rule
+  public TemporaryFolder folder = new TemporaryFolder();
+
+  @Test
+  public void testAddKey() throws IOException {
+    List<String> rowKeys = new ArrayList<>();
+    for (int i = 0; i < 1000; i++) {
+      rowKeys.add(UUID.randomUUID().toString());
+    }
+    String filePath = folder.getRoot() + "/test.parquet";
+    Schema schema = HoodieAvroUtils.getRecordKeySchema();
+    BloomFilter filter = BloomFilterFactory.createBloomFilter(
+      1000, 0.0001, 10000,
+      BloomFilterTypeCode.SIMPLE.name());
+    HoodieAvroWriteSupport writeSupport = new HoodieAvroWriteSupport(
+      new AvroSchemaConverter().convert(schema), schema, filter);
+    ParquetWriter writer = new ParquetWriter(new Path(filePath), writeSupport, CompressionCodecName.GZIP,
+      120 * 1024 * 1024, ParquetWriter.DEFAULT_PAGE_SIZE);
+    for (String rowKey : rowKeys) {
+      GenericRecord rec = new GenericData.Record(schema);
+      rec.put(HoodieRecord.RECORD_KEY_METADATA_FIELD, rowKey);
+      writer.write(rec);
+      writeSupport.add(rowKey);
+    }
+    writer.close();
+  }
 
 Review comment:
   Sure.

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