canal 源码解析（2）-数据流转篇（3）

event-————》entry

一、准备

     先确认下当前位点信息，最新位点信息是1601，

执行命令：show BINLOG EVENTS in "mysql-bin.000031";

而项目目前位点信息是761 ，和1601 差别太多，是因为中间多了，插入，更新，删除操作。如下

 

二、解析插入，更新，删除操作事件。

 2.1 ANONYMOUS_GTID_LOG_EVENT=34 该事件是mysql5.7 以后自动开启的，表示事物id，每个事物开始之前都会存在一个该事件，注释：

event： 

因为header.type=34 ，sink 目前直接返回null，

2.2、QUERY_EVENT=2    该event 以文本记录binlog的操作 

根据type=2 

代码如下：querystring=begin，然后构造transactionbegin对象，

private Entry parseQueryEvent(QueryLogEvent event, boolean isSeek) {
    String queryString = event.getQuery();
    if (StringUtils.endsWithIgnoreCase(queryString, BEGIN)) {
        TransactionBegin transactionBegin = createTransactionBegin(event.getSessionId());
        Header header = createHeader(binlogFileName, event.getHeader(), "", "", null);
        return createEntry(header, EntryType.TRANSACTIONBEGIN, transactionBegin.toByteString());
    } else if (StringUtils.endsWithIgnoreCase(queryString, COMMIT)) {
        TransactionEnd transactionEnd = createTransactionEnd(0L); // MyISAM可能不会有xid事件
        Header header = createHeader(binlogFileName, event.getHeader(), "", "", null);
        return createEntry(header, EntryType.TRANSACTIONEND, transactionEnd.toByteString());
    } else {
        boolean notFilter = false;
        EventType type = EventType.QUERY;
        String tableName = null;
        String schemaName = null;
        if (useDruidDdlFilter) {
            List<DdlResult> results = DruidDdlParser.parse(queryString, event.getDbName());
            for (DdlResult result : results) {
                if (!processFilter(queryString, result)) {
                    // 只要有一个数据不进行过滤
                    notFilter = true;
                }
            }
            if (results.size() > 0) {
                // 如果针对多行的DDL,只能取第一条
                type = results.get(0).getType();
                schemaName = results.get(0).getSchemaName();
                tableName = results.get(0).getTableName();
            }
        } else {
            DdlResult result = SimpleDdlParser.parse(queryString, event.getDbName());
            if (!processFilter(queryString, result)) {
                notFilter = true;
            }

            type = result.getType();
            schemaName = result.getSchemaName();
            tableName = result.getTableName();
        }

        if (!notFilter) {
            // 如果是过滤的数据就不处理了
            return null;
        }

        if (!isSeek) {
            // 使用新的表结构元数据管理方式
            EntryPosition position = createPosition(event.getHeader());
            tableMetaCache.apply(position, event.getDbName(), queryString, null);
        }

        Header header = createHeader(binlogFileName, event.getHeader(), schemaName, tableName, type);
        RowChange.Builder rowChangeBuider = RowChange.newBuilder();
        if (type != EventType.QUERY) {
            rowChangeBuider.setIsDdl(true);
        }
        rowChangeBuider.setSql(queryString);
        if (StringUtils.isNotEmpty(event.getDbName())) {
 
 // 可能为空
            rowChangeBuider.setDdlSchemaName(event.getDbName());
        }
        rowChangeBuider.setEventType(type);
        return createEntry(header, EntryType.ROWDATA, rowChangeBuider.build().toByteString());
    }
}

构造header对象（使用probuf）

private Header createHeader(String binlogFile, LogHeader logHeader, String schemaName, String tableName,
                            EventType eventType) {
    // header会做信息冗余,方便以后做检索或者过滤
    Header.Builder headerBuilder = Header.newBuilder();
    headerBuilder.setVersion(version);
    headerBuilder.setLogfileName(binlogFile);
    headerBuilder.setLogfileOffset(logHeader.getLogPos() - logHeader.getEventLen());
    headerBuilder.setServerId(logHeader.getServerId());
    headerBuilder.setServerenCode(UTF_8);// 经过java输出后所有的编码为unicode
    headerBuilder.setExecuteTime(logHeader.getWhen() * 1000L);
    headerBuilder.setSourceType(Type.MYSQL);
    if (eventType != null) {
        headerBuilder.setEventType(eventType);
    }
    if (schemaName != null) {
        headerBuilder.setSchemaName(schemaName);
    }
    if (tableName != null) {
        headerBuilder.setTableName(tableName);
    }
    headerBuilder.setEventLength(logHeader.getEventLen());
    // enable gtid position
    if (gtidSet != null) {
        String gtid = gtidSet.toString();
        headerBuilder.setGtid(gtid);
    }
    return headerBuilder.build();
}

构造entry对象（使用probuf）

public static Entry createEntry(Header header, EntryType entryType, ByteString storeValue) {
    Entry.Builder entryBuilder = Entry.newBuilder();
    entryBuilder.setHeader(header);
    entryBuilder.setEntryType(entryType);
    entryBuilder.setStoreValue(storeValue);
    return entryBuilder.build();
}

最终对象为：

BEGIN std test   

  header {

  version: 1
  logfileName: "mysql-bin.000031"
  logfileOffset: 460
  serverId: 1
  serverenCode: "UTF-8"
  executeTime: 1529994671000
  sourceType: MYSQL
  schemaName: ""
  tableName: ""
  eventLength: 72
}
entryType: TRANSACTIONBEGIN
storeValue: " \200\001"

2.3、 TABLE_MAP_EVENT=19      数据库有5列，

sink过滤： 跳过

2.4、WRITE_ROWS_EVENT=30  插入的对象在rowsbuf（byte）里

插入，删除，更新，在sink模块里共用的是同一个 event方法，如下

代码

private Entry parseRowsEvent(RowsLogEvent event) {
    if (filterRows) {
        return null;
    }
    try {
        TableMapLogEvent table = event.getTable();
        if (table == null) {
            // tableId对应的记录不存在
            throw new TableIdNotFoundException("not found tableId:" + event.getTableId());
        }

        boolean isHeartBeat = isAliSQLHeartBeat(table.getDbName(), table.getTableName());
        boolean isRDSHeartBeat = tableMetaCache.isOnRDS()
                                 && isRDSHeartBeat(table.getDbName(), table.getTableName());

        String fullname = table.getDbName() + "." + table.getTableName();
        // check name filter
        if (nameFilter != null && !nameFilter.filter(fullname)) {
            return null;
        }
        if (nameBlackFilter != null && nameBlackFilter.filter(fullname)) {
            return null;
        }

        // if (isHeartBeat || isRDSHeartBeat) {
        // // 忽略rds模式的mysql.ha_health_check心跳数据
        // return null;
        // }
        TableMeta tableMeta = null;
        if (isRDSHeartBeat) {
            // 处理rds模式的mysql.ha_health_check心跳数据
            // 主要RDS的心跳表基本无权限,需要mock一个tableMeta
            FieldMeta idMeta = new FieldMeta("id", "bigint(20)", true, false, "0");
            FieldMeta typeMeta = new FieldMeta("type", "char(1)", false, true, "0");
            tableMeta = new TableMeta(table.getDbName(), table.getTableName(), Arrays.asList(idMeta, typeMeta));
        } else if (isHeartBeat) {
            // 处理alisql模式的test.heartbeat心跳数据
            // 心跳表基本无权限,需要mock一个tableMeta
            FieldMeta idMeta = new FieldMeta("id", "smallint(6)", false, true, null);
            FieldMeta typeMeta = new FieldMeta("type", "int(11)", true, false, null);
            tableMeta = new TableMeta(table.getDbName(), table.getTableName(), Arrays.asList(idMeta, typeMeta));
        }

        EventType eventType = null;
        int type = event.getHeader().getType();
        if (LogEvent.WRITE_ROWS_EVENT_V1 == type || LogEvent.WRITE_ROWS_EVENT == type) {
            eventType = EventType.INSERT;
        } else if (LogEvent.UPDATE_ROWS_EVENT_V1 == type || LogEvent.UPDATE_ROWS_EVENT == type) {
            eventType = EventType.UPDATE;
        } else if (LogEvent.DELETE_ROWS_EVENT_V1 == type || LogEvent.DELETE_ROWS_EVENT == type) {
            eventType = EventType.DELETE;
        } else {
            throw new CanalParseException("unsupport event type :" + event.getHeader().getType());
        }

        Header header = createHeader(binlogFileName,
            event.getHeader(),
            table.getDbName(),
            table.getTableName(),
            eventType);
        EntryPosition position = createPosition(event.getHeader());
        RowChange.Builder rowChangeBuider = RowChange.newBuilder();
        rowChangeBuider.setTableId(event.getTableId());
        rowChangeBuider.setIsDdl(false);

        rowChangeBuider.setEventType(eventType);
        RowsLogBuffer buffer = event.getRowsBuf(charset.name());
        BitSet columns = event.getColumns();
        BitSet changeColumns = event.getChangeColumns();
        boolean tableError = false;
        if (tableMetaCache != null && tableMeta == null) {
 
 // 入错存在table meta
                                                          // cache
            tableMeta = getTableMeta(table.getDbName(), table.getTableName(), true, position);
            if (tableMeta == null) {
                tableError = true;
                if (!filterTableError) {
                    throw new CanalParseException("not found [" + fullname + "] in db , pls check!");
                }
            }
        }

        while (buffer.nextOneRow(columns)) {
            // 处理row记录
            RowData.Builder rowDataBuilder = RowData.newBuilder();
            if (EventType.INSERT == eventType) {
                // insert的记录放在before字段中
                tableError |= parseOneRow(rowDataBuilder, event, buffer, columns, true, tableMeta);
            } else if (EventType.DELETE == eventType) {
                // delete的记录放在before字段中
                tableError |= parseOneRow(rowDataBuilder, event, buffer, columns, false, tableMeta);
            } else {
                // update需要处理before/after
                tableError |= parseOneRow(rowDataBuilder, event, buffer, columns, false, tableMeta);
                if (!buffer.nextOneRow(changeColumns)) {
                    rowChangeBuider.addRowDatas(rowDataBuilder.build());
                    break;
                }

                tableError |= parseOneRow(rowDataBuilder, event, buffer, changeColumns, true, tableMeta);
            }

            rowChangeBuider.addRowDatas(rowDataBuilder.build());
        }

        RowChange rowChange = rowChangeBuider.build();
        if (tableError) {
            Entry entry = createEntry(header, EntryType.ROWDATA, ByteString.EMPTY);
            logger.warn("table parser error : {}storeValue: {}", entry.toString(), rowChange.toString());
            return null;
        } else {
            Entry entry = createEntry(header, EntryType.ROWDATA, rowChangeBuider.build().toByteString());
            return entry;
        }
    } catch (Exception e) {
        throw new CanalParseException("parse row data failed.", e);
    }
}

解析思路：

  1、获取table。

  2、心跳，rds判断

 3、获取库.表    test.student

 4、对eventype归纳

 5、组装header（如上代码）

  （   version: 1

    logfileName: "mysql-bin.000031"
    logfileOffset: 894
    serverId: 1
    serverenCode: "UTF-8"    
    executeTime: 1529994880000
    sourceType: MYSQL
    schemaName: "test"
    tableName: "student"
    eventLength: 60

    eventType: INSERT）

   6、组装position

EntryPosition[included=false,journalName=mysql-bin.000031,position=954,serverId=1,gtid=<null>,timestamp=1529994880000]

 7、从db2里获取tableMeta（表结构信息）

public TableMeta getTableMeta(String schema, String table, boolean useCache, EntryPosition position) {
    TableMeta tableMeta = null;
    if (tableMetaTSDB != null) {
        tableMeta = tableMetaTSDB.find(schema, table);
        if (tableMeta == null) {
            // 因为条件变化，可能第一次的tableMeta没取到，需要从db获取一次，并记录到snapshot中