Examples with SparkListenerTaskEnd org.apache.spark.scheduler.SparkListenerTaskEnd used on opensource projects

Example 1 with SparkListenerTaskEnd

use of org.apache.spark.scheduler.SparkListenerTaskEnd in project parent by Daytime-Don-t-Know-Dark-Night.

the class YouData method replace.

public static void replace(Dataset<Row> ds, String uri, JdbcOptionsInWrite opts, Column part) throws SQLException, ExecutionException, SparkException, InvocationTargetException {
    final double commit_factor = 0.1;
    final double max_allowed_factor = 0.3;
    final double max_memory_factor = 0.1;
    JdbcDialect dialect = JdbcDialects.get(opts.url());
    long max_allowed_packet = 4 * 1024 * 1024;
    long buffer_pool_size = 128 * 1024 * 1024;
    try (Connection conn = JdbcUtils.createConnectionFactory(opts).apply();
        Statement statement = conn.createStatement()) {
        try (ResultSet packetRes = statement.executeQuery("show global variables like 'max_allowed_packet'")) {
            while (packetRes.next()) {
                max_allowed_packet = packetRes.getLong("Value");
            }
        }
        try (ResultSet bufferRes = statement.executeQuery("show global variables like 'innodb_buffer_pool_size'")) {
            while (bufferRes.next()) {
                buffer_pool_size = bufferRes.getLong("Value");
            }
        }
    }
    StructType schema = ds.schema();
    String sql_ = JdbcUtils.getInsertStatement(opts.table(), schema, Option.empty(), true, dialect);
    // sql拼接时不使用''的类型
    List<DataType> specialType = ImmutableList.of(DataTypes.BooleanType, DataTypes.LongType, DataTypes.IntegerType);
    MemoryMXBean memoryMXBean = ManagementFactory.getMemoryMXBean();
    // 堆内存使用情况
    MemoryUsage memoryUsage = memoryMXBean.getHeapMemoryUsage();
    // 最大可用内存
    long maxMemorySize = memoryUsage.getMax();
    SparkContext sparkContext = ds.sparkSession().sparkContext();
    int cores = sparkContext.defaultParallelism();
    int executorNum = sparkContext.getExecutorIds().size() + 1;
    long partNum = Math.min(Math.round(max_allowed_packet * max_allowed_factor), Math.round(maxMemorySize * max_memory_factor * executorNum / cores));
    long bufferLength = Math.round(buffer_pool_size * commit_factor);
    Preconditions.checkArgument(partNum > 0, "partNum计算值<=0");
    Set<Object> lastSet = Sets.newHashSet();
    SetAccumulator<Object> collectionAc = new SetAccumulator<>();
    collectionAc.register(SparkSession.active().sparkContext(), Option.apply("setAc"), false);
    SparkSession.active().sparkContext().addSparkListener(new SparkListener() {

        public synchronized void onTaskEnd(SparkListenerTaskEnd taskEnd) {
            // 上次set中的值 lastSet, 本次set中的值 collectionAc.value()
            synchronized (lastSet) {
                Set<Object> diffSet;
                synchronized (collectionAc.value()) {
                    diffSet = Sets.difference(collectionAc.value(), lastSet).immutableCopy();
                }
                if (!diffSet.isEmpty()) {
                    for (Object i : diffSet) {
                        System.out.println("监听器检测到差异..." + i);
                    }
                    lastSet.addAll(diffSet);
                }
            }
        }
    });
    StructType structType = ds.schema();
    if (Objects.nonNull(part)) {
        ds = ds.withColumn("partNum", part).repartition(col("partNum")).sortWithinPartitions(col("partNum"));
    } else {
        ds = ds.withColumn("partNum", expr("'0'"));
    }
    ds.foreachPartition(rows -> {
        try (Connection conn = JdbcUtils.createConnectionFactory(opts).apply();
            Statement statement = conn.createStatement()) {
            conn.setAutoCommit(false);
            int numFields = schema.fields().length;
            int executeLength = 0;
            StringBuilder sb = null;
            String sqlPrefix = null;
            Object lastPartNum = null;
            while (rows.hasNext()) {
                Row row = rows.next();
                // 如果本行数据和上一行数据在同一张表, 直接插入数据, 如果本行数据和上一行数据不在同一张表, 提交上一次数据, 建表, 插入数据
                Object tmpPartNum = row.getAs("partNum");
                Preconditions.checkArgument(Objects.nonNull(tmpPartNum));
                if (!Objects.equals(tmpPartNum, lastPartNum)) {
                    String newTableName = opts.table() + partSuffix(tmpPartNum);
                    // 如果有该表则将该表中的数据清空
                    String drop_table = String.format("drop table if exists %s", newTableName);
                    statement.executeUpdate(drop_table);
                    // 建表
                    String col_sql = tableCol(structType);
                    col_sql = col_sql.substring(0, col_sql.length() - 1);
                    String create_table = String.format("create table if not exists %s(%s) DEFAULT CHARSET=utf8mb4", newTableName, col_sql);
                    statement.executeUpdate(create_table);
                    sqlPrefix = sql_.substring(0, sql_.indexOf("(?"));
                    // 替换表名
                    sqlPrefix = sqlPrefix.replace(sqlPrefix.substring(12, sqlPrefix.indexOf("(")), newTableName);
                    if (!Objects.isNull(lastPartNum)) {
                        // 记录执行掉的sql的长度
                        executeLength += sb.length();
                        statement.executeUpdate(sb.substring(0, sb.length() - 1));
                        sb.setLength(0);
                        sb.append(sqlPrefix);
                    } else {
                        sb = new StringBuilder((int) partNum + 1000);
                        sb.append(sqlPrefix);
                    }
                    collectionAc.add(tmpPartNum);
                    lastPartNum = tmpPartNum;
                }
                StringBuilder group = new StringBuilder("(");
                for (int i = 0; i < numFields; i++) {
                    DataType type = schema.apply(i).dataType();
                    if (row.isNullAt(i)) {
                        // null值处理
                        group.append("null,");
                    } else if (specialType.contains(type)) {
                        // 判断该类型数据是否需要''
                        Object tmp = row.getAs(i);
                        group.append(tmp).append(',');
                    } else if (type == DataTypes.StringType) {
                        // 如果该类型为字符串类型且包含', 则对'进行转义
                        String tmp = row.getAs(i);
                        group.append("'").append(tmp.replaceAll("'", "''")).append("',");
                    } else {
                        Object tmp = row.getAs(i);
                        group.append("'").append(tmp).append("',");
                    }
                }
                group.delete(group.length() - 1, group.length());
                group.append("),");
                sb.append(group);
                if (sb.length() * 2L >= partNum) {
                    // 每执行一次, 累计 + sb.length
                    executeLength += sb.length();
                    statement.executeLargeUpdate(sb.delete(sb.length() - 1, sb.length()).toString());
                    sb.setLength(0);
                    sb.append(sqlPrefix);
                }
                // 上面每执行一次, 累计 + max_allowed_packet, 累计加到缓冲池的阈值, 提交
                if (executeLength >= bufferLength) {
                    logger.info("commit执行时间: {}", Instant.now());
                    conn.commit();
                    executeLength = 0;
                }
            }
            // 剩余还有未被执行的数据
            if (Objects.nonNull(sb) && sb.length() > sqlPrefix.length()) {
                String ex_sql = sb.substring(0, sb.length() - 1);
                statement.executeUpdate(ex_sql);
                sb.setLength(0);
                sb.append(sqlPrefix);
            }
            {
                logger.info("commit执行时间: {}", Instant.now());
                conn.commit();
            }
        }
    });
}

Example 2 with SparkListenerTaskEnd

use of org.apache.spark.scheduler.SparkListenerTaskEnd in project parent by Daytime-Don-t-Know-Dark-Night.

the class YouData2 method replace.

public static void replace(Dataset<Row> ds, String uri, JdbcOptionsInWrite opts, int partNum) throws SQLException, ExecutionException, SparkException, InvocationTargetException {
    final double commit_factor = 0.1;
    final double max_allowed_factor = 0.3;
    final double max_memory_factor = 0.1;
    JdbcDialect dialect = JdbcDialects.get(opts.url());
    long max_allowed_packet = 4 * 1024 * 1024;
    long buffer_pool_size = 128 * 1024 * 1024;
    try (Connection conn = JdbcUtils.createConnectionFactory(opts).apply();
        Statement statement = conn.createStatement()) {
        for (int i = 0; i < partNum; i++) {
            String newTableName = opts.table() + partSuffix(i);
            try {
                // 截断
                String truncate_table = String.format("truncate table %s", newTableName);
                statement.executeUpdate(truncate_table);
                // drop
                String drop_table = String.format("drop table if exists %s", newTableName);
                statement.executeUpdate(drop_table);
            } catch (SQLSyntaxErrorException e) {
                e.printStackTrace();
            }
            // 建表
            String col_sql = tableCol(ds.schema());
            col_sql = col_sql.substring(0, col_sql.length() - 1);
            String create_table = String.format("create table if not exists %s(%s) DEFAULT CHARSET=utf8mb4", newTableName, col_sql);
            statement.executeUpdate(create_table);
        }
        try (ResultSet packetRes = statement.executeQuery("show global variables like 'max_allowed_packet'")) {
            while (packetRes.next()) {
                max_allowed_packet = packetRes.getLong("Value");
            }
        }
        try (ResultSet bufferRes = statement.executeQuery("show global variables like 'innodb_buffer_pool_size'")) {
            while (bufferRes.next()) {
                buffer_pool_size = bufferRes.getLong("Value");
            }
        }
    }
    StructType schema = ds.schema();
    String sql_ = JdbcUtils.getInsertStatement(opts.table(), schema, Option.empty(), true, dialect);
    // sql拼接时不使用''的类型
    List<DataType> specialType = ImmutableList.of(DataTypes.BooleanType, DataTypes.LongType, DataTypes.IntegerType);
    MemoryMXBean memoryMXBean = ManagementFactory.getMemoryMXBean();
    // 堆内存使用情况
    MemoryUsage memoryUsage = memoryMXBean.getHeapMemoryUsage();
    // 最大可用内存
    long maxMemorySize = memoryUsage.getMax();
    SparkContext sparkContext = ds.sparkSession().sparkContext();
    int cores = sparkContext.defaultParallelism();
    int executorNum = sparkContext.getExecutorIds().size() + 1;
    long partLimit = Math.min(Math.round(max_allowed_packet * max_allowed_factor), Math.round(maxMemorySize * max_memory_factor * executorNum / cores));
    long bufferLength = Math.round(buffer_pool_size * commit_factor);
    Preconditions.checkArgument(partLimit > 0, "partLimit计算值<=0");
    // 重要参数
    logger.info("线程数: {}, 最大可用内存: {}, executorNum: {}, partLimit: {}, bufferLength: {}", cores, maxMemorySize, executorNum, partLimit, bufferLength);
    SetAccumulator<Integer> collectionAc = new SetAccumulator<>();
    collectionAc.register(SparkSession.active().sparkContext(), Option.apply("setAc"), false);
    Map<Integer, Integer> partitionMap = Maps.newHashMap();
    SparkSession.active().sparkContext().addSparkListener(new SparkListener() {

        public void onStageSubmitted(SparkListenerStageSubmitted stageSubmitted) {
            int stageId = stageSubmitted.stageInfo().stageId();
            int numTasks = stageSubmitted.stageInfo().numTasks();
            partitionMap.put(stageId, numTasks);
        }

        public void onTaskEnd(SparkListenerTaskEnd taskEnd) {
            int currStageId = taskEnd.stageId();
            Preconditions.checkArgument(partitionMap.containsKey(currStageId), "当前task中的stageId: " + currStageId + ", map中: " + partitionMap);
            int partitions = partitionMap.get(currStageId);
            synchronized (collectionAc.value()) {
                // 确定该发哪一个
                Set<Integer> currSet = collectionAc.value();
                long index = taskEnd.taskInfo().index();
                long currIndex = index % partNum;
                // partitionId % partNum = i的个数
                long num1 = Stream.iterate(0, k -> k + 1).limit(partitions).filter(j -> j % partNum == currIndex).count();
                // currSet中的值 % partNum = i的个数
                long num2 = currSet.stream().filter(j -> j % partNum == currIndex).count();
                if (num1 == num2) {
                    // 证明累加器中 % partNum = i的值已经集齐
                    logger.info("累加器中partNum={}的数据已经导出完成", currIndex);
                    collectionAc.value().removeIf(k -> k % partNum == currIndex);
                }
            }
        }
    });
    ds.foreachPartition(rows -> {
        int taskId = TaskContext.getPartitionId();
        // 0-199
        collectionAc.add(taskId);
        long tmpPartNum = taskId % partNum;
        try (Connection conn = JdbcUtils.createConnectionFactory(opts).apply();
            Statement statement = conn.createStatement()) {
            conn.setAutoCommit(false);
            int numFields = schema.fields().length;
            long executeLength = 0;
            // 替换表名
            String newTableName = opts.table() + partSuffix(tmpPartNum);
            String sqlPrefix = sql_.substring(0, sql_.indexOf("(?"));
            sqlPrefix = sqlPrefix.replace(sqlPrefix.substring(12, sqlPrefix.indexOf("(")), newTableName);
            StringBuilder sb = new StringBuilder((int) partLimit + 1000);
            sb.append(sqlPrefix);
            while (rows.hasNext()) {
                Row row = rows.next();
                StringBuilder group = new StringBuilder("(");
                for (int i = 0; i < numFields; i++) {
                    DataType type = schema.apply(i).dataType();
                    if (row.isNullAt(i)) {
                        // null值处理
                        group.append("null,");
                    } else if (specialType.contains(type)) {
                        // 判断该类型数据是否需要''
                        Object tmp = row.getAs(i);
                        group.append(tmp).append(',');
                    } else if (type == DataTypes.StringType) {
                        // 如果该类型为字符串类型且包含', 则对'进行转义
                        String tmp = row.getAs(i);
                        group.append("'").append(tmp.replaceAll("'", "''")).append("',");
                    } else {
                        Object tmp = row.getAs(i);
                        group.append("'").append(tmp).append("',");
                    }
                }
                group.delete(group.length() - 1, group.length());
                group.append("),");
                sb.append(group);
                if (sb.length() * 2L >= partLimit) {
                    // 每执行一次, 累计 + sb.length
                    executeLength += sb.length();
                    logger.info("任务ID为: {}, execute过的数据长度: {}", taskId, executeLength);
                    statement.executeLargeUpdate(sb.delete(sb.length() - 1, sb.length()).toString());
                    sb.setLength(0);
                    sb.append(sqlPrefix);
                    // 每次execute过后, 查看数据库缓冲池的可用页数量, 如果可用页数量<1000, commit
                    int bufferPageFreeNum = -1;
                    ResultSet bufferPageRes = statement.executeQuery("show status like 'Innodb_buffer_pool_pages_free'");
                    while (bufferPageRes.next()) {
                        bufferPageFreeNum = bufferPageRes.getInt("Value");
                    }
                    if (bufferPageFreeNum > 0 && bufferPageFreeNum < 1000) {
                        logger.info("缓冲池剩余空闲页为: {}, 执行commit: {}", bufferPageFreeNum, Instant.now());
                        conn.commit();
                        executeLength = 0;
                    }
                }
            }
            // 剩余还有未被执行的数据
            if (sb.length() > sqlPrefix.length()) {
                String ex_sql = sb.substring(0, sb.length() - 1);
                logger.info("execute过的数据长度: {}", executeLength);
                statement.executeUpdate(ex_sql);
                sb.setLength(0);
                sb.append(sqlPrefix);
            }
            {
                logger.info("commit执行时间: {}", Instant.now());
                conn.commit();
            }
        }
    });
}

Example 3 with SparkListenerTaskEnd

use of org.apache.spark.scheduler.SparkListenerTaskEnd in project parent by Daytime-Don-t-Know-Dark-Night.

the class Listen method main.

// Spark 监听器
public static void main(String[] args) {
    SparkSession spark = SparkSession.builder().master("local[*]").getOrCreate();
    StructType schema = new StructType().add("date", "date").add("pay_no", "string").add("amount", "double").add("pay_time", "timestamp");
    Row row1 = RowFactory.create(Date.valueOf("2021-11-11"), "001", 1.0, Timestamp.from(Instant.now()));
    Row row2 = RowFactory.create(Date.valueOf("2021-11-11"), "002", 2.0, Timestamp.from(Instant.now()));
    Row row3 = RowFactory.create(Date.valueOf("2021-11-12"), "003", 3.0, Timestamp.from(Instant.now()));
    Row row4 = RowFactory.create(Date.valueOf("2021-11-12"), "004", 4.0, Timestamp.from(Instant.now()));
    Row row5 = RowFactory.create(Date.valueOf("2021-11-13"), "005", 5.0, Timestamp.from(Instant.now()));
    Dataset<Row> ds = spark.createDataFrame(ImmutableList.of(row1, row2, row3, row4, row5), schema);
    Set<Object> lastSet = Sets.newHashSet();
    SetAccumulator<Object> collectionAc = new SetAccumulator<>();
    collectionAc.register(SparkSession.active().sparkContext(), Option.apply("setAc"), false);
    SparkSession.active().sparkContext().addSparkListener(new SparkListener() {

        public void onTaskEnd(SparkListenerTaskEnd taskEnd) {
            // 上次set中的值 lastSet
            // 本次set中的值 collectionAc.value()
            Set<Object> diffSet = Sets.difference(collectionAc.value(), lastSet);
            if (!diffSet.isEmpty()) {
                for (Object obj : diffSet) {
                    System.out.println("监听器检测到差异..." + obj);
                }
            }
        }
    });
    ds.repartition(col("date")).sortWithinPartitions(col("date")).foreachPartition(rows -> {
        Object a = null;
        while (rows.hasNext()) {
            Row row = rows.next();
            Object tmpPartNum = row.getAs("date");
            if (!Objects.equals(tmpPartNum, a)) {
                collectionAc.add(tmpPartNum);
                a = tmpPartNum;
            }
        }
    });
    ds.show(false);
}