Datax 支持增量 postgresql writeMode update

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  • Post category:其他

datax介绍

DataX 是阿里巴巴集团内被广泛使用的离线数据同步工具/平台,实现包括 MySQL、Oracle、SqlServer、Postgre、HDFS、Hive、ADS、HBase、TableStore(OTS)、MaxCompute(ODPS)、DRDS 等各种异构数据源之间高效的数据同步功能。

支持增量 postgresql update

我们使用datax 希望支持postgresql 增量导入数据:地址:https://gitee.com/cecotw/DataX

链接:https://pan.baidu.com/s/1mbEvLsDZZNWMYrTTTeYkAw 密码:v97c

修改 PostgresqlWriter.java

删除限制:
删除pg写入模式限制

修改WriterUtil.java

添加postgresql 数据插入类型转换:
添加postgresql 数据插入类型转换

    public static String getWriteTemplate(List<String> columnHolders, List<String> valueHolders, String writeMode, DataBaseType dataBaseType, boolean forceUseUpdate) {
        boolean isWriteModeLegal = writeMode.trim().toLowerCase().startsWith("insert")
                || writeMode.trim().toLowerCase().startsWith("replace")
                || writeMode.trim().toLowerCase().startsWith("update");

        if (!isWriteModeLegal) {
            throw DataXException.asDataXException(DBUtilErrorCode.ILLEGAL_VALUE,
                    String.format("您所配置的 writeMode:%s 错误. 因为DataX 目前仅支持replace,update 或 insert 方式. 请检查您的配置并作出修改.", writeMode));
        }
        // && writeMode.trim().toLowerCase().startsWith("replace")
        String writeDataSqlTemplate;
        if (forceUseUpdate ||
                ((dataBaseType == DataBaseType.MySql || dataBaseType == DataBaseType.Tddl) && writeMode.trim().toLowerCase().startsWith("update"))
        ) {
            //update只在mysql下使用

            writeDataSqlTemplate = new StringBuilder()
                    .append("INSERT INTO %s (").append(StringUtils.join(columnHolders, ","))
                    .append(") VALUES(").append(StringUtils.join(valueHolders, ","))
                    .append(")")
                    .append(onDuplicateKeyUpdateString(columnHolders))
                    .toString();
        } else {
            if (dataBaseType == DataBaseType.PostgreSQL) {
                writeDataSqlTemplate = new StringBuilder().append("INSERT INTO %s (")
                        .append(StringUtils.join(columnHolders, ","))
                        .append(") VALUES(").append(StringUtils.join(valueHolders, ","))
                        .append(")").append(onConFlictDoString(writeMode, columnHolders)).toString();
            } else {
                //这里是保护,如果其他错误的使用了update,需要更换为replace
                if (writeMode.trim().toLowerCase().startsWith("update")) {
                    writeMode = "replace";
                }
                writeDataSqlTemplate = new StringBuilder().append(writeMode)
                        .append(" INTO %s (").append(StringUtils.join(columnHolders, ","))
                        .append(") VALUES(").append(StringUtils.join(valueHolders, ","))
                        .append(")").toString();
            }
        }

        return writeDataSqlTemplate;
    }

增加onConFlictDoString方法:
增加onConFlictDoString方法

    public static String onConFlictDoString(String conflict, List<String> columnHolders) {
        conflict = conflict.replace("update", "");
        StringBuilder sb = new StringBuilder();
        sb.append(" ON CONFLICT ");
        sb.append(conflict);
        sb.append(" DO ");
        if (columnHolders == null || columnHolders.size() < 1) {
            sb.append("NOTHING");
            return sb.toString();
        }
        sb.append(" UPDATE SET ");
        boolean first = true;
        for (String column : columnHolders) {
            if (!first) {
                sb.append(",");
            } else {
                first = false;
            }
            sb.append(column);
            sb.append("=excluded.");
            sb.append(column);
        }
        return sb.toString();
    }

效果

{
    "job": {
        "setting": {
            "speed": {
                 "byte": 1048576
            },
                "errorLimit": {
                "record": 0,
                "percentage": 0.02
            }
        },
        "content": [
            {
                "reader": {
                    "name": "postgresqlreader",
                    "parameter": {
                        "username": "postgres",
                        "password": "postgres",
                        "connection": [
                            {
                                                                "querySql":["SELECT seq,userid,name FROM user"],
                                "jdbcUrl": [
                                    "jdbc:postgresql://127.0.0.1:5432/postgres"
                                ]
                            }
                        ]
                    }
                },
                "writer": {
                    "name": "postgresqlwriter",
                    "parameter": {
                        "username": "thsdb",
                        "password": "thsdb_outsev",
                        "column": [
                            "seq",
                            "userid",
                            "name"
                        ],
                        "connection": [
                            {
                                "jdbcUrl": "jdbc:postgresql://127.0.0.1:5432/postgres",
                                "table": [
                                    "user1"
                                ]
                            }
                        ],
                        "writeMode": "update (seq,userid)"
                    }
                }
            }
        ]
    }
}

源码

  • 关于 DATAX改造后的代码 ,参考 这儿.(https://gitee.com/cecotw/DataX)

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