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| 1 | +package com.clickhouse.examples.client_v2; |
| 2 | + |
| 3 | +import com.clickhouse.client.api.Client; |
| 4 | +import com.clickhouse.client.api.data_formats.ClickHouseBinaryFormatReader; |
| 5 | +import com.clickhouse.client.api.metrics.ClientMetrics; |
| 6 | +import com.clickhouse.client.api.query.QueryResponse; |
| 7 | +import lombok.extern.slf4j.Slf4j; |
| 8 | + |
| 9 | +import java.util.ArrayList; |
| 10 | +import java.util.concurrent.ExecutorService; |
| 11 | +import java.util.concurrent.SynchronousQueue; |
| 12 | +import java.util.concurrent.ThreadPoolExecutor; |
| 13 | +import java.util.concurrent.TimeUnit; |
| 14 | + |
| 15 | +@Slf4j |
| 16 | +public class BigDatasetExamples { |
| 17 | + |
| 18 | + private final String endpoint; |
| 19 | + private final String user; |
| 20 | + private final String password; |
| 21 | + private final String database; |
| 22 | + |
| 23 | + public BigDatasetExamples(String endpoint, String user, String password, String database) { |
| 24 | + this.endpoint = endpoint; |
| 25 | + this.user = user; |
| 26 | + this.password = password; |
| 27 | + this.database = database; |
| 28 | + } |
| 29 | + |
| 30 | + /** |
| 31 | + * Reads {@code system.numbers} table into a result set of numbers of different types. |
| 32 | + * |
| 33 | + */ |
| 34 | + void readBigSetOfNumbers(int limit, int iterations, int concurrency) { |
| 35 | + Client client = new Client.Builder() |
| 36 | + .addEndpoint(endpoint) |
| 37 | + .setUsername(user) |
| 38 | + .setPassword(password) |
| 39 | + .setDefaultDatabase(database) |
| 40 | + .compressServerResponse(false) |
| 41 | + .compressClientRequest(false) |
| 42 | + .setLZ4UncompressedBufferSize(1048576) |
| 43 | + .useNewImplementation(true) |
| 44 | +// .setSocketRcvbuf(1_000_000) |
| 45 | + .setClientNetworkBufferSize(1_000_000) |
| 46 | + .setMaxConnections(20) |
| 47 | + .build(); |
| 48 | + try { |
| 49 | +// client.ping(10); // warmup connections pool |
| 50 | + |
| 51 | + Runnable task = () -> { |
| 52 | + StringBuilder sb = new StringBuilder(); |
| 53 | + |
| 54 | + for (int i = 0; i < iterations; i++) { |
| 55 | + try { |
| 56 | + long[] stats = doReadNumbersSet(client, limit); |
| 57 | + for (long stat : stats) { |
| 58 | + sb.append(stat).append(", "); |
| 59 | + } |
| 60 | + sb.append("\n"); |
| 61 | + } catch (Exception e) { |
| 62 | + log.error("Failed to read dataset", e); |
| 63 | + } |
| 64 | + } |
| 65 | + |
| 66 | + System.out.print(sb.toString()); |
| 67 | + }; |
| 68 | + |
| 69 | + System.out.println("Records, Read Time, Request Time, Server Time"); |
| 70 | + if (concurrency == 1) { |
| 71 | + task.run(); |
| 72 | + } else { |
| 73 | + ExecutorService executor = new ThreadPoolExecutor(concurrency, Integer.MAX_VALUE, |
| 74 | + 60L, TimeUnit.SECONDS, |
| 75 | + new SynchronousQueue<Runnable>()); |
| 76 | + |
| 77 | + for (int i = 0; i < concurrency; i++) { |
| 78 | + executor.submit(task); |
| 79 | + } |
| 80 | + |
| 81 | + executor.shutdown(); |
| 82 | + executor.awaitTermination(3, TimeUnit.MINUTES); |
| 83 | + } |
| 84 | + } catch (InterruptedException e) { |
| 85 | + throw new RuntimeException(e); |
| 86 | + } finally { |
| 87 | + client.close(); |
| 88 | + } |
| 89 | + } |
| 90 | + |
| 91 | + /** |
| 92 | + * Does actual request and returns time stats in format: |
| 93 | + * [number of records, read time in ms, request initiation time in ms, server time in ms] |
| 94 | + * @param client |
| 95 | + * @param limit |
| 96 | + * @return |
| 97 | + */ |
| 98 | + private long[] doReadNumbersSet(Client client, int limit) { |
| 99 | + final String query = DATASET_QUERY + " LIMIT " + limit; |
| 100 | + try (QueryResponse response = client.query(query).get(3000, TimeUnit.MILLISECONDS)) { |
| 101 | + ArrayList<com.clickhouse.demo_service.data.NumbersRecord> result = new ArrayList<>(); |
| 102 | + |
| 103 | + // iterable approach is more efficient for large datasets because it doesn't load all records into memory |
| 104 | + ClickHouseBinaryFormatReader reader = Client.newBinaryFormatReader(response); |
| 105 | + |
| 106 | + long start = System.nanoTime(); |
| 107 | + while (reader.next() != null) { |
| 108 | + result.add(new com.clickhouse.demo_service.data.NumbersRecord( |
| 109 | + reader.getUUID("id"), |
| 110 | + reader.getLong("p1"), |
| 111 | + reader.getBigInteger("number"), |
| 112 | + reader.getFloat("p2"), |
| 113 | + reader.getDouble("p3") |
| 114 | + )); |
| 115 | + } |
| 116 | + long duration = System.nanoTime() - start; |
| 117 | + |
| 118 | + return new long[] { result.size(), TimeUnit.NANOSECONDS.toMillis(duration), response.getMetrics().getMetric(ClientMetrics.OP_DURATION).getLong(), |
| 119 | + TimeUnit.NANOSECONDS.toMillis(response.getServerTime()) }; |
| 120 | + } catch (Exception e) { |
| 121 | + throw new RuntimeException("Failed to fetch dataset", e); |
| 122 | + } |
| 123 | + } |
| 124 | + |
| 125 | + private static final String DATASET_QUERY = |
| 126 | + "SELECT generateUUIDv4() as id, " + |
| 127 | + "toUInt32(number) as p1, " + |
| 128 | + "number, " + |
| 129 | + "toFloat32(number/100000) as p2, " + |
| 130 | + "toFloat64(number/100000) as p3" + |
| 131 | + " FROM system.numbers"; |
| 132 | + |
| 133 | + public static void main(String[] args) { |
| 134 | + final String endpoint = System.getProperty("chEndpoint", "http://localhost:8123"); |
| 135 | + final String user = System.getProperty("chUser", "default"); |
| 136 | + final String password = System.getProperty("chPassword", ""); |
| 137 | + final String database = System.getProperty("chDatabase", "default"); |
| 138 | + |
| 139 | +// profilerDelay(); |
| 140 | + |
| 141 | + BigDatasetExamples examples = new BigDatasetExamples(endpoint, user, password, database); |
| 142 | + |
| 143 | + examples.readBigSetOfNumbers(100_000, 100, 10); |
| 144 | + |
| 145 | +// profilerDelay(); |
| 146 | + } |
| 147 | + |
| 148 | + private static void profilerDelay() { |
| 149 | + // Delay for a profiler |
| 150 | + try { |
| 151 | + Thread.sleep(30000); |
| 152 | + } catch (InterruptedException e) { |
| 153 | + e.printStackTrace(); |
| 154 | + } |
| 155 | + } |
| 156 | +} |
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