聊聊jdbc statement的fetchSize

栏目: Java · 发布时间: 6年前

内容简介:聊聊jdbc statement的fetchSize

这里以postgres jdbc driver为例,主要是因为postgres的jdbc driver有公开源码,而且命名比较规范。之前看oracle jdbc,由于没有源码,反编译出来一大堆var1,var2等的变量命名,非常晦涩。

默认情况下pgjdbc driver会一次性拉取所有结果集,也就是在executeQuery的时候。对于大数据量的查询来说,非常容易造成OOM。这种场景就需要设置fetchSize,执行query的时候先返回第一批数据,之后next完一批数据之后再去拉取下一批。

但是这个有几个要求:

  • 数据库必须使用V3协议,即pg7.4+
  • connection的autoCommit必须为false,因为开启autoCommit的话,查询完成cursor会被关闭,那么下次就不能再fetch了。另外ResultSet必须是ResultSet.TYPE_FORWARD_ONLY类型,这个是默认的。也就是说无法向后滚动。
  • 查询语句必须是单条,不能是用分号组成的多条查询

实例代码

@Test
	public void testReadTimeout() throws SQLException {
		Connection connection = dataSource.getConnection();
		//https://jdbc.postgresql.org/documentation/head/query.html
		connection.setAutoCommit(false); //NOTE 为了设置fetchSize,必须设置为false

		String sql = "select * from demo_table";
		PreparedStatement pstmt;
		try {
			pstmt = (PreparedStatement)connection.prepareStatement(sql);
			pstmt.setFetchSize(50); 
			System.out.println("ps.getQueryTimeout():" + pstmt.getQueryTimeout());
			System.out.println("ps.getFetchSize():" + pstmt.getFetchSize());
			System.out.println("ps.getFetchDirection():" + pstmt.getFetchDirection());
			System.out.println("ps.getMaxFieldSize():" + pstmt.getMaxFieldSize());

			ResultSet rs = pstmt.executeQuery(); 
			//NOTE 这里返回了就代表statement执行完成,默认返回fetchSize的数据
			int col = rs.getMetaData().getColumnCount();
			System.out.println("============================");
			while (rs.next()) { 
				for (int i = 1; i <= col; i++) {
					System.out.print(rs.getObject(i));
				}
				System.out.println("");
			}
			System.out.println("============================");
		} catch (SQLException e) {
			e.printStackTrace();
		} finally {
			//close resources
		}
	}

源码解析

postgresql-9.4.1212.jre7-sources.jar!/org/postgresql/jdbc/PgPreparedStatement.java

/*
   * A Prepared SQL query is executed and its ResultSet is returned
   *
   * @return a ResultSet that contains the data produced by the * query - never null
   *
   * @exception SQLException if a database access error occurs
   */
  public java.sql.ResultSet executeQuery() throws SQLException {
    if (!executeWithFlags(0)) {
      throw new PSQLException(GT.tr("No results were returned by the query."), PSQLState.NO_DATA);
    }

    if (result.getNext() != null) {
      throw new PSQLException(GT.tr("Multiple ResultSets were returned by the query."),
          PSQLState.TOO_MANY_RESULTS);
    }

    return result.getResultSet();
  }

executeQuery首先调用executeWithFlags方法,源码里头直接写在if里头的,这个不是推荐的方式,因为放在if比较容易忽略。

  • executeWithFlags
public boolean executeWithFlags(int flags) throws SQLException {
    try {
      checkClosed();

      if (connection.getPreferQueryMode() == PreferQueryMode.SIMPLE) {
        flags |= QueryExecutor.QUERY_EXECUTE_AS_SIMPLE;
      }

      execute(preparedQuery, preparedParameters, flags);

      return (result != null && result.getResultSet() != null);
    } finally {
      defaultTimeZone = null;
    }
  }

protected final void execute(CachedQuery cachedQuery, ParameterList queryParameters, int flags)
      throws SQLException {
    try {
      executeInternal(cachedQuery, queryParameters, flags);
    } catch (SQLException e) {
      // Don't retry composite queries as it might get partially executed
      if (cachedQuery.query.getSubqueries() != null
          || !connection.getQueryExecutor().willHealOnRetry(e)) {
        throw e;
      }
      cachedQuery.query.close();
      // Execute the query one more time
      executeInternal(cachedQuery, queryParameters, flags);
    }
  }

这里又调用execute方法,在调用executeInternal

executeInternal

postgresql-9.4.1212.jre7-sources.jar!/org/postgresql/jdbc/PgPreparedStatement.java

private void executeInternal(CachedQuery cachedQuery, ParameterList queryParameters, int flags)
      throws SQLException {
    closeForNextExecution();

    // Enable cursor-based resultset if possible.
    if (fetchSize > 0 && !wantsScrollableResultSet() && !connection.getAutoCommit()
        && !wantsHoldableResultSet()) {
      flags |= QueryExecutor.QUERY_FORWARD_CURSOR;
    }

    if (wantsGeneratedKeysOnce || wantsGeneratedKeysAlways) {
      flags |= QueryExecutor.QUERY_BOTH_ROWS_AND_STATUS;

      // If the no results flag is set (from executeUpdate)
      // clear it so we get the generated keys results.
      //
      if ((flags & QueryExecutor.QUERY_NO_RESULTS) != 0) {
        flags &= ~(QueryExecutor.QUERY_NO_RESULTS);
      }
    }

    if (isOneShotQuery(cachedQuery)) {
      flags |= QueryExecutor.QUERY_ONESHOT;
    }
    // Only use named statements after we hit the threshold. Note that only
    // named statements can be transferred in binary format.

    if (connection.getAutoCommit()) {
      flags |= QueryExecutor.QUERY_SUPPRESS_BEGIN;
    }

    // updateable result sets do not yet support binary updates
    if (concurrency != ResultSet.CONCUR_READ_ONLY) {
      flags |= QueryExecutor.QUERY_NO_BINARY_TRANSFER;
    }

    Query queryToExecute = cachedQuery.query;

    if (queryToExecute.isEmpty()) {
      flags |= QueryExecutor.QUERY_SUPPRESS_BEGIN;
    }

    if (!queryToExecute.isStatementDescribed() && forceBinaryTransfers
        && (flags & QueryExecutor.QUERY_EXECUTE_AS_SIMPLE) == 0) {
      // Simple 'Q' execution does not need to know parameter types
      // When binaryTransfer is forced, then we need to know resulting parameter and column types,
      // thus sending a describe request.
      int flags2 = flags | QueryExecutor.QUERY_DESCRIBE_ONLY;
      StatementResultHandler handler2 = new StatementResultHandler();
      connection.getQueryExecutor().execute(queryToExecute, queryParameters, handler2, 0, 0,
          flags2);
      ResultWrapper result2 = handler2.getResults();
      if (result2 != null) {
        result2.getResultSet().close();
      }
    }

    StatementResultHandler handler = new StatementResultHandler();
    result = null;
    try {
      startTimer();
      connection.getQueryExecutor().execute(queryToExecute, queryParameters, handler, maxrows,
          fetchSize, flags);
    } finally {
      killTimerTask();
    }
    result = firstUnclosedResult = handler.getResults();

    if (wantsGeneratedKeysOnce || wantsGeneratedKeysAlways) {
      generatedKeys = result;
      result = result.getNext();

      if (wantsGeneratedKeysOnce) {
        wantsGeneratedKeysOnce = false;
      }
    }

  }

主要看这段

connection.getQueryExecutor().execute(queryToExecute, queryParameters, handler, maxrows,
          fetchSize, flags);

通过把fetchSize传递进去,拉取指定大小的result

最后调用sendExecute以及processResults方法来拉取数据 postgresql-9.4.1212.jre7-sources.jar!/org/postgresql/core/v3/QueryExecutorImpl.java

private void sendExecute(SimpleQuery query, Portal portal, int limit) throws IOException {
    //
    // Send Execute.
    //

    if (logger.logDebug()) {
      logger.debug(" FE=> Execute(portal=" + portal + ",limit=" + limit + ")");
    }

    byte[] encodedPortalName = (portal == null ? null : portal.getEncodedPortalName());
    int encodedSize = (encodedPortalName == null ? 0 : encodedPortalName.length);

    // Total size = 4 (size field) + 1 + N (source portal) + 4 (max rows)
    pgStream.sendChar('E'); // Execute
    pgStream.sendInteger4(4 + 1 + encodedSize + 4); // message size
    if (encodedPortalName != null) {
      pgStream.send(encodedPortalName); // portal name
    }
    pgStream.sendChar(0); // portal name terminator
    pgStream.sendInteger4(limit); // row limit

    pendingExecuteQueue.add(new ExecuteRequest(query, portal, false));
  }

protected void processResults(ResultHandler handler, int flags) throws IOException {
    boolean noResults = (flags & QueryExecutor.QUERY_NO_RESULTS) != 0;
    boolean bothRowsAndStatus = (flags & QueryExecutor.QUERY_BOTH_ROWS_AND_STATUS) != 0;

    List<byte[][]> tuples = null;

    int c;
    boolean endQuery = false;

    // At the end of a command execution we have the CommandComplete
    // message to tell us we're done, but with a describeOnly command
    // we have no real flag to let us know we're done. We've got to
    // look for the next RowDescription or NoData message and return
    // from there.
    boolean doneAfterRowDescNoData = false;

    while (!endQuery) {
      c = pgStream.receiveChar();
      switch (c) {
        case 'A': // Asynchronous Notify
          receiveAsyncNotify();
          break;

        case '1': // Parse Complete (response to Parse)
          pgStream.receiveInteger4(); // len, discarded

          SimpleQuery parsedQuery = pendingParseQueue.removeFirst();
          String parsedStatementName = parsedQuery.getStatementName();
          //...
      }
  }
}        

next

postgresql-9.4.1212.jre7-sources.jar!/org/postgresql/jdbc/PgResultSet.java

public boolean next() throws SQLException {
    checkClosed();

    if (onInsertRow) {
      throw new PSQLException(GT.tr("Can''t use relative move methods while on the insert row."),
          PSQLState.INVALID_CURSOR_STATE);
    }

    if (current_row + 1 >= rows.size()) {
      if (cursor == null || (maxRows > 0 && row_offset + rows.size() >= maxRows)) {
        current_row = rows.size();
        this_row = null;
        rowBuffer = null;
        return false; // End of the resultset.
      }

      // Ask for some more data.
      row_offset += rows.size(); // We are discarding some data.

      int fetchRows = fetchSize;
      if (maxRows != 0) {
        if (fetchRows == 0 || row_offset + fetchRows > maxRows) {
          // Fetch would exceed maxRows, limit it.
          fetchRows = maxRows - row_offset;
        }
      }

      // Execute the fetch and update this resultset.
      connection.getQueryExecutor().fetch(cursor, new CursorResultHandler(), fetchRows);

      current_row = 0;

      // Test the new rows array.
      if (rows.isEmpty()) {
        this_row = null;
        rowBuffer = null;
        return false;
      }
    } else {
      current_row++;
    }

    initRowBuffer();
    return true;
  }

next方法可以看到,首先判断current_row + 1是否小于rows.size(),小于的话,那就current_row++;否则表示这一批fetchSize的数据被消费完了,需要判断是否结束或者拉取下一批数据,之后更新current_row

connection.getQueryExecutor().fetch(cursor, new CursorResultHandler(), fetchRows);

这个方法拉取fetchRows条数的下一批数据

  • initRowBuffer
private void initRowBuffer() {
    this_row = rows.get(current_row);
    // We only need a copy of the current row if we're going to
    // modify it via an updatable resultset.
    if (resultsetconcurrency == ResultSet.CONCUR_UPDATABLE) {
      rowBuffer = new byte[this_row.length][];
      System.arraycopy(this_row, 0, rowBuffer, 0, this_row.length);
    } else {
      rowBuffer = null;
    }
  }

这就是next移动之后,把要消费的这行数据放到rowBuffer里头。

小结

对于查询数据量大的场景下,非常有必要设置fetchSize,否则全量拉取很容易OOM,但是使用fetchSize的时候,要求数据能够在遍历resultSet的时候及时处理,而不是收集完所有数据返回回去再去处理。

doc


以上就是本文的全部内容,希望本文的内容对大家的学习或者工作能带来一定的帮助,也希望大家多多支持 码农网

查看所有标签

猜你喜欢:

本站部分资源来源于网络,本站转载出于传递更多信息之目的,版权归原作者或者来源机构所有,如转载稿涉及版权问题,请联系我们

Java 8实战

Java 8实战

厄马(Raoul-Gabriel Urma)、弗斯科(Mario Fusco)、米克罗夫特(Alan Mycroft) / 陆明刚、劳佳 / 人民邮电出版社 / 2016-4-1 / CNY 79.00

本书全面介绍了Java 8 这个里程碑版本的新特性,包括Lambdas、流和函数式编程。有了函数式的编程特性,可以让代码更简洁,同时也能自动化地利用多核硬件。全书分四个部分:基础知识、函数式数据处理、高效Java 8 编程和超越Java 8,清晰明了地向读者展现了一幅Java 与时俱进的现代化画卷。一起来看看 《Java 8实战》 这本书的介绍吧!

URL 编码/解码
URL 编码/解码

URL 编码/解码

UNIX 时间戳转换
UNIX 时间戳转换

UNIX 时间戳转换

HEX HSV 转换工具
HEX HSV 转换工具

HEX HSV 互换工具