| /* |
| * 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.iotdb.tsfile.write.schema.converter; |
| |
| import org.apache.iotdb.tsfile.common.constant.JsonFormatConstant; |
| 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.apache.iotdb.tsfile.read.common.Path; |
| import org.apache.iotdb.tsfile.utils.MeasurementGroup; |
| import org.apache.iotdb.tsfile.write.schema.IMeasurementSchema; |
| import org.apache.iotdb.tsfile.write.schema.MeasurementSchema; |
| import org.apache.iotdb.tsfile.write.schema.Schema; |
| |
| import org.junit.Test; |
| |
| import java.util.ArrayList; |
| import java.util.HashMap; |
| import java.util.List; |
| import java.util.Map; |
| |
| import static org.junit.Assert.assertEquals; |
| |
| public class SchemaBuilderTest { |
| |
| @Test |
| public void testJsonConverter1() { |
| |
| Map<String, String> props = new HashMap<>(); |
| props.put(JsonFormatConstant.MAX_POINT_NUMBER, "3"); |
| Schema schema = new Schema(); |
| schema.registerTimeseries( |
| new Path("d1"), |
| new MeasurementSchema( |
| "s4", TSDataType.DOUBLE, TSEncoding.RLE, CompressionType.SNAPPY, props)); |
| schema.registerTimeseries( |
| new Path("d1"), |
| new MeasurementSchema( |
| "s5", TSDataType.INT32, TSEncoding.TS_2DIFF, CompressionType.UNCOMPRESSED, null)); |
| |
| List<IMeasurementSchema> timeseries = new ArrayList<>(); |
| schema |
| .getRegisteredTimeseriesMap() |
| .values() |
| .forEach( |
| mg -> { |
| timeseries.addAll(mg.getMeasurementSchemaMap().values()); |
| }); |
| String[] tsDesStrings = { |
| "[s4,DOUBLE,RLE,{max_point_number=3},SNAPPY]", "[s5,INT32,TS_2DIFF,,UNCOMPRESSED]" |
| }; |
| int i = 0; |
| for (IMeasurementSchema desc : timeseries) { |
| assertEquals(tsDesStrings[i++], desc.toString()); |
| } |
| } |
| |
| @Test |
| public void testJsonConverter2() { |
| |
| Map<String, String> props = new HashMap<>(); |
| props.put(JsonFormatConstant.MAX_POINT_NUMBER, "3"); |
| Schema schema = new Schema(); |
| Map<String, MeasurementSchema> template = new HashMap<>(); |
| template.put( |
| "s4", |
| new MeasurementSchema( |
| "s4", TSDataType.DOUBLE, TSEncoding.RLE, CompressionType.SNAPPY, props)); |
| template.put( |
| "s5", |
| new MeasurementSchema( |
| "s5", TSDataType.INT32, TSEncoding.TS_2DIFF, CompressionType.UNCOMPRESSED, null)); |
| MeasurementGroup measurementGroup = new MeasurementGroup(false, template); |
| schema.registerSchemaTemplate("template1", measurementGroup); |
| schema.registerDevice("d1", "template1"); |
| |
| List<IMeasurementSchema> timeseries = new ArrayList<>(); |
| schema |
| .getRegisteredTimeseriesMap() |
| .values() |
| .forEach( |
| mg -> { |
| timeseries.addAll(mg.getMeasurementSchemaMap().values()); |
| }); |
| String[] tsDesStrings = { |
| "[s4,DOUBLE,RLE,{max_point_number=3},SNAPPY]", "[s5,INT32,TS_2DIFF,,UNCOMPRESSED]" |
| }; |
| int i = 0; |
| for (IMeasurementSchema desc : timeseries) { |
| assertEquals(tsDesStrings[i++], desc.toString()); |
| } |
| } |
| |
| @Test |
| public void testJsonConverter3() { |
| |
| Map<String, String> props = new HashMap<>(); |
| props.put(JsonFormatConstant.MAX_POINT_NUMBER, "3"); |
| Schema schema = new Schema(); |
| Map<String, MeasurementSchema> template = new HashMap<>(); |
| template.put( |
| "s4", |
| new MeasurementSchema( |
| "s4", TSDataType.DOUBLE, TSEncoding.RLE, CompressionType.SNAPPY, props)); |
| template.put( |
| "s5", |
| new MeasurementSchema( |
| "s5", TSDataType.INT32, TSEncoding.TS_2DIFF, CompressionType.UNCOMPRESSED, null)); |
| MeasurementGroup measurementGroup = new MeasurementGroup(false, template); |
| schema.registerSchemaTemplate("template1", measurementGroup); |
| |
| schema.extendTemplate( |
| "template1", |
| new MeasurementSchema( |
| "s6", TSDataType.INT64, TSEncoding.RLE, CompressionType.SNAPPY, props)); |
| |
| schema.registerDevice("d1", "template1"); |
| |
| List<IMeasurementSchema> timeseries = new ArrayList<>(); |
| schema |
| .getRegisteredTimeseriesMap() |
| .values() |
| .forEach( |
| mg -> { |
| timeseries.addAll(mg.getMeasurementSchemaMap().values()); |
| }); |
| String[] tsDesStrings = { |
| "[s4,DOUBLE,RLE,{max_point_number=3},SNAPPY]", |
| "[s5,INT32,TS_2DIFF,,UNCOMPRESSED]", |
| "[s6,INT64,RLE,{max_point_number=3},SNAPPY]" |
| }; |
| int i = 0; |
| for (IMeasurementSchema desc : timeseries) { |
| assertEquals(tsDesStrings[i++], desc.toString()); |
| } |
| } |
| } |