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* 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
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package org.apache.iotdb.db.tools;
import org.apache.iotdb.db.conf.IoTDBDescriptor;
import org.apache.iotdb.db.exception.metadata.MetadataException;
import org.apache.iotdb.db.metadata.MetadataConstant;
import org.apache.iotdb.db.metadata.PartialPath;
import org.apache.iotdb.db.qp.physical.crud.CreateTemplatePlan;
import org.apache.iotdb.db.qp.physical.crud.SetSchemaTemplatePlan;
import org.apache.iotdb.db.qp.physical.sys.CreateTimeSeriesPlan;
import org.apache.iotdb.db.service.IoTDB;
import org.apache.iotdb.db.tools.mlog.MLogParser;
import org.apache.iotdb.db.utils.EnvironmentUtils;
import org.apache.iotdb.tsfile.file.metadata.enums.CompressionType;
import org.apache.iotdb.tsfile.file.metadata.enums.TSDataType;
import org.apache.iotdb.tsfile.file.metadata.enums.TSEncoding;
import org.junit.After;
import org.junit.Assert;
import org.junit.Before;
import org.junit.Test;
import java.io.BufferedReader;
import java.io.File;
import java.io.FileReader;
import java.io.IOException;
import java.util.ArrayList;
import java.util.Collections;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
public class MLogParserTest {
@Before
public void setUp() {
EnvironmentUtils.envSetUp();
}
@After
public void tearDown() throws Exception {
EnvironmentUtils.cleanEnv();
File file = new File("target" + File.separator + "tmp" + File.separator + "text.mlog");
file.deleteOnExit();
file = new File("target" + File.separator + "tmp" + File.separator + "text.snapshot");
file.deleteOnExit();
}
public void prepareData() {
// prepare data
for (int i = 0; i < 2; i++) {
for (int j = 0; j < 5; j++) {
for (int k = 0; k < 10; k++) {
CreateTimeSeriesPlan plan = new CreateTimeSeriesPlan();
try {
plan.setPath(new PartialPath("root.sg" + i + "." + "device" + j + "." + "s" + k));
plan.setDataType(TSDataType.INT32);
plan.setEncoding(TSEncoding.PLAIN);
plan.setCompressor(CompressionType.GZIP);
IoTDB.metaManager.createTimeseries(plan);
} catch (MetadataException e) {
e.printStackTrace();
}
}
}
}
try {
IoTDB.metaManager.setStorageGroup(new PartialPath("root.ln.cc"));
IoTDB.metaManager.setStorageGroup(new PartialPath("root.sgcc"));
IoTDB.metaManager.setTTL(new PartialPath("root.sgcc"), 1234L);
IoTDB.metaManager.deleteTimeseries(new PartialPath("root.sg1.device1.s1"));
List<PartialPath> paths = new ArrayList<>();
paths.add(new PartialPath("root.ln.cc"));
IoTDB.metaManager.deleteStorageGroups(paths);
Map<String, String> tags = new HashMap<String, String>();
tags.put("tag1", "value1");
IoTDB.metaManager.addTags(tags, new PartialPath("root.sg1.device1.s2"));
IoTDB.metaManager.changeAlias(new PartialPath("root.sg1.device1.s3"), "hello");
} catch (MetadataException | IOException e) {
e.printStackTrace();
}
try {
IoTDB.metaManager.setStorageGroup(new PartialPath("root.sg"));
IoTDB.metaManager.createSchemaTemplate(genCreateTemplatePlan());
SetSchemaTemplatePlan setSchemaTemplatePlan =
new SetSchemaTemplatePlan("template1", "root.sg");
IoTDB.metaManager.setSchemaTemplate(setSchemaTemplatePlan);
IoTDB.metaManager.getDeviceNodeWithAutoCreate(new PartialPath("root.sg.d1"), true, true, 1);
} catch (MetadataException | IOException e) {
e.printStackTrace();
}
}
private CreateTemplatePlan genCreateTemplatePlan() {
List<List<String>> measurementList = new ArrayList<>();
measurementList.add(Collections.singletonList("s11"));
measurementList.add(Collections.singletonList("s12"));
List<List<TSDataType>> dataTypeList = new ArrayList<>();
dataTypeList.add(Collections.singletonList(TSDataType.INT64));
dataTypeList.add(Collections.singletonList(TSDataType.DOUBLE));
List<List<TSEncoding>> encodingList = new ArrayList<>();
encodingList.add(Collections.singletonList(TSEncoding.RLE));
encodingList.add(Collections.singletonList(TSEncoding.GORILLA));
List<CompressionType> compressionTypes = new ArrayList<>();
compressionTypes.add(CompressionType.SNAPPY);
compressionTypes.add(CompressionType.SNAPPY);
List<String> schemaNames = new ArrayList<>();
schemaNames.add("s11");
schemaNames.add("s12");
return new CreateTemplatePlan(
"template1", schemaNames, measurementList, dataTypeList, encodingList, compressionTypes);
}
@Test
public void testParseMLog() throws IOException {
prepareData();
IoTDB.metaManager.flushAllMlogForTest();
try {
MLogParser.parseFromFile(
IoTDBDescriptor.getInstance().getConfig().getSchemaDir()
+ File.separator
+ MetadataConstant.METADATA_LOG,
"target" + File.separator + "tmp" + File.separator + "text.mlog");
} catch (IOException e) {
e.printStackTrace();
}
try (BufferedReader reader =
new BufferedReader(
new FileReader("target" + File.separator + "tmp" + File.separator + "text.mlog"))) {
int lineNum = 0;
List<String> lines = new ArrayList<>();
String line;
while ((line = reader.readLine()) != null) {
lineNum++;
lines.add(line);
}
if (lineNum != 113) {
// First, we prepare 2 storage groups, each one has 5 devices, and every device has 10
// measurements.
// So, mlog records 2 * 5 * 10 = 100 CreateTimeSeriesPlan, and 2 SetStorageGroupPlan.
// Next, we do 6 operations which will be written into mlog, include set 2 sgs, set ttl,
// delete timeseries, delete sg, add tags.
// The final operation changeAlias only change the mtree in memory, so it will not write
// record to mlog.
// Then, we set 1 more storage group, create a template with 2 measurements, set
// the template to this storage group and create 1 device using template.
// Finally, the mlog should have 100 + 2 + 6 + 1 + 2 + 1 + 1 = 113 records
for (String content : lines) {
System.out.println(content);
}
}
Assert.assertEquals(113, lineNum);
} catch (IOException e) {
Assert.fail(e.getMessage());
}
}
@Test
public void testParseSnapshot() {
prepareData();
IoTDB.metaManager.createMTreeSnapshot();
try {
MLogParser.parseFromFile(
IoTDBDescriptor.getInstance().getConfig().getSchemaDir()
+ File.separator
+ MetadataConstant.MTREE_SNAPSHOT,
"target" + File.separator + "tmp" + File.separator + "text.snapshot");
} catch (IOException e) {
e.printStackTrace();
}
try (BufferedReader reader =
new BufferedReader(
new FileReader("target" + File.separator + "tmp" + File.separator + "text.snapshot"))) {
int lineNum = 0;
List<String> lines = new ArrayList<>();
String line;
while ((line = reader.readLine()) != null) {
lineNum++;
lines.add(line);
}
if (lineNum != 115) {
// First, we prepare 2 storage groups, each one has 5 devices, and every device has 10
// measurements.
// So, mtree records 2 * 5 * 10 = 100 TimeSeries, and 2 SetStorageGroup, 2 * 5 devices.
// Next, we do 4 operations which will be record in mtree, include set 2 sgs, delete
// timeseries, delete sg.
// Then, we set 1 more storage group, create a template with 2 measurements and set
// the template to this storage group and create 1 device using template.
// The snapshot should have 100 + 2 + 5 * 2 + 2 - 1 - 1 + 1 + 1 = 114 records,
// and we have root record,
// so we have 114 + 1 = 115 records finally.
for (String content : lines) {
System.out.println(content);
}
}
Assert.assertEquals(115, lineNum);
} catch (IOException e) {
Assert.fail(e.getMessage());
}
}
}