最新小鱼软件MeterTest_DB-v2018.11.14.1.zip

纽约ISO数据 市场财务模型说明 领先市场占所有能源交易的95％。 实时市场由DAM的剩余出价和RTM（通常是较脏的煤和石油）上的“快速斜坡”生成器出价组成。 资料来源 定价索引页 实时市场LBMP生成器 实时市场LBMP区域 日前行情LBMP生成器 日前交易市场LBMP区划 载入资料 NYISO每小时负载-看起来像过去一年中系统每小时的总负载 http://mis.nyiso.com/public/dss/nyiso_loads.csv 实时实际负载数据-每5分钟按区域索引页面 http://mis.nyiso.com/public/P-58Blist.htm

greenplum-db-6.2.1-rhel7-x86_64.rpm Pivotal Greenplum 6.2 Release Notes This document contains pertinent release information about Pivotal Greenplum Database 6.2 releases. For previous versions of the release notes for Greenplum Database, go to Pivotal Greenplum Database Documentation. For information about Greenplum Database end of life, see Pivotal Greenplum Database end of life policy. Pivotal Greenplum 6 software is available for download from the Pivotal Greenplum page on Pivotal Network. Pivotal Greenplum 6 is based on the open source Greenplum Database project code. Important: Pivotal Support does not provide support for open source versions of Greenplum Database. Only Pivotal Greenplum Database is supported by Pivotal Support. Release 6.2.1 Release Date: 2019-12-12 Pivotal Greenplum 6.2.1 is a minor release that includes new features and resolves several issues. New Features Greenplum Database 6.2.1 includes these new features: Greenplum Database supports materialized views. Materialized views are similar to views. A materialized view enables you to save a frequently used or complex query, then access the query results in a SELECT statement as if they were a table. Materialized views persist the query results in a table-like form. Materialized view data cannot be directly updated. To refresh the materialized view data, use the REFRESH MATERIALIZED VIEW command. See Creating and Managing Materialized Views. Note: Known Issues and Limitations describes a limitation of materialized view support in Greenplum 6.2.1. The gpinitsystem utility supports the --ignore-warnings option. The option controls the value returned by gpinitsystem when warnings or an error occurs. If you specify this option, gpinitsystem returns 0 if warnings occurred during system initialization, and returns a non-zero value if a fatal error occurs. If this option is not specified, gpinitsystem returns 1 if initialization completes with warnings, and returns value of 2 or greater if a fatal error occurs. PXF version 5.10.0 is included, which introduces several new and changed features and bug fixes. See PXF Version 5.10.0 below. PXF Version 5.10.0 PXF 5.10.0 includes the following new and changed features: PXF has improved its performance when reading a large number of files from HDFS or an object store. PXF bundles newer tomcat and jackson libraries. The PXF JDBC Connector now supports pushdown of OR and NOT logical filter operators when specified in a JDBC named query or in an external table query filter condition. PXF supports writing Avro-format data to Hadoop and object stores. Refer to Reading and Writing HDFS Avro Data for more information about this feature. PXF is now certified with Hadoop 2.x and 3.1.x and Hive Server 2.x and 3.1, and bundles new and upgraded Hadoop libraries to support these versions. PXF supports Kerberos authentication to Hive Server 2.x and 3.1.x. PXF supports per-server user impersonation configuration. PXF supports concurrent access to multiple Kerberized Hadoop clusters. In previous releases of Greenplum Database, PXF supported accessing a single Hadoop cluster secured with Kerberos, and this Hadoop cluster must have been configured as the default PXF server. PXF introduces a new template file, pxf-site.xml, to specify the Kerberos and impersonation property settings for a Hadoop or JDBC server configuration. Refer to About Kerberos and User Impersonation Configuration (pxf-site.xml) for more information about this file. PXF now supports connecting to Hadoop with a configurable Hadoop user identity. PXF previously supported only proxy access to Hadoop via the gpadmin Greenplum user. PXF version 5.10.0 deprecates the following configuration properties. Note: These property settings continue to work. The PXF_USER_IMPERSONATION, PXF_PRINCIPAL, and PXF_KEYTAB settings in the pxf-env.sh file. You can use the pxf-site.xml file to configure Kerberos and impersonation settings for your new Hadoop server configurations. The pxf.impersonation.jdbc property setting in the jdbc-site.xml file. You can use the pxf.service.user.impersonation property to configure user impersonation for a new JDBC server configuration. Note: If you have previously configured a PXF JDBC server to access Kerberos-secured Hive, you must upgrade the server definition. See Upgrading PXF in Greenplum 6.x for more information. Changed Features Greenplum Database 6.2.1 includes these changed features: Greenplum Stream Server version 1.3.1 is included in the Greenplum distribution. Resolved Issues Pivotal Greenplum 6.2.1 is a minor release that resolves these issues: 29454 - gpstart During Greenplum Database start up, the gpstart utility did not report when a segment instance failed to start. The utility always displayed 0 skipped segment starts. This issue has been resolved. gpstart output was also enhanced to provide additional warnings and summary information about the number of skipped segments. For example: [WARNING]:-********

华为MA5680T的OLT清空密码需要的空密码数据库恢复db_scu_new，带完整文件及图文操作说明和步骤。按照操作步骤和流程一步步进行即可。

作者及联系方式 作者：冰河 微信：sun_shine_lyz QQ：2711098650 微信公众号： 冰河技术 推荐使用 mykit-db-sync mykit中分离出的强大数据数据库同步工具——mykit-db-sync 基于java开发的功能强大、配置灵活的数据库之间同步工具，和数据产生器一样，均是前段时间因为项目需要编写的小工具，在实际应用场景中，我们经常需要定期将一个数据库的数据同步到另外一个数据库中，常见的一种做法是将源数据库的数据dump为sql文件，然后到目标数据库执行sql文件完成数据库的导入，但是这种方法至少存在以下问题： 需要手工操作，效率低 当涉及数据表较多时，容易遗漏、出错 如果要定期同步，操作人容易忘记 难以应付频繁变更数据表或者字段 针对以上存在的问题，将珍贵人力从这种重复、无意义的工作中解脱出来，特意开发这个小工具，目前源数据库为任何支持sql语法的数据库，

摘要:C#源码,数据库应用,OLE DB　　C#使用OLE DB连接SQL Server数据库，不同的方法带来不同的效率，要想熟悉掌握C#与SQLsERVER的数据库连接，就要尝试用多种方法操作数据库，这是一个最基本的用OLE DB连接SQL Server数据库的实例。 　　

greenplum-db-6.0.0-beta.7-rhel7-x86_64.zip 包含greenplum-db-6.0.0-beta.7-rhel7-x86_64.rpm 安装包，以及安装依赖包： 正在解决依赖关系 --> 正在检查事务 ---> 软件包 greenplum-db.x86_64.0.6.0.0_beta.7-1.el7 将被 安装 --> 正在处理依赖关系 rsync，它被软件包 greenplum-db-6.0.0_beta.7-1.el7.x86_64 需要 --> 正在处理依赖关系 libyaml，它被软件包 greenplum-db-6.0.0_beta.7-1.el7.x86_64 需要 --> 正在处理依赖关系 libevent，它被软件包 greenplum-db-6.0.0_beta.7-1.el7.x86_64 需要 --> 正在处理依赖关系 bzip2，它被软件包 greenplum-db-6.0.0_beta.7-1.el7.x86_64 需要 --> 正在处理依赖关系 apr-util，它被软件包 greenplum-db-6.0.0_beta.7-1.el7.x86_64 需要 --> 正在处理依赖关系 apr，它被软件包 greenplum-db-6.0.0_beta.7-1.el7.x86_64 需要 --> 正在检查事务 ---> 软件包 apr.x86_64.0.1.4.8-3.el7_4.1 将被 安装 ---> 软件包 apr-util.x86_64.0.1.5.2-6.el7 将被 安装 ---> 软件包 bzip2.x86_64.0.1.0.6-13.el7 将被 安装 ---> 软件包 libevent.x86_64.0.2.0.21-4.el7 将被 安装 ---> 软件包 libyaml.x86_64.0.0.1.4-11.el7_0 将被 安装 ---> 软件包 rsync.x86_64.0.3.1.2-6.el7_6.1 将被 安装 --> 解决依赖关系完成

RAF-DB数据集太大，分为上下两部分上传！

网上找了好多unity+sqlite的都不支持拿来即用,我本地封装了一套,包含策划表和解析成自定义类的整套操作,傻瓜式取用.希望能对大家有所帮助. 先将excel转换成db,然后就可以在项目中从db直接取数据. 自测5w行数据的文件,20个文件只需要几秒就搞定了插入到db,这一步是在编辑器操作的. 然后从数据库读数据也写了几种方法 加油!一定要积累下完成的一套商用资源

java笔试题算法EnMicroMsg.db 密码破解器 警告：这个工具只能用于破解你自己的数据库。 不要在任何非法情况下使用它。 微信安卓版数据库(EnMicroMsg.db)密码破解工具 （此工具可以解决 , 中列出的问题） 对于某些设备，当您尝试使用“md5(imei + uin)[:7]”解密 EnMicroMsg.db 时，您可能会收到错误消息：“文件已加密或不是数据库”。 一种可能的原因是微信使用其他设备ID而不是IMEI来生成密码。 幸运的是，28 位密码（总共 16^7 种组合）不足以抵抗蛮力攻击。 微信使用sqlcipher v2对数据库进行加密。 部分安全功能列出如下（来自 ）： 每个数据库页面都单独加密和解密。 这意味着我们只需要处理第一个 1024B，这是默认的页面大小。 默认算法是 CBC 模式下的 256 位 AES。 每个页面都有它自己的初始化向量，它存储在最后 16B 处。 在 EnMicroMsg.db 中禁用消息身份验证代码 (HMAC)（请参阅 参考资料，第 50 行）。 所以我们只需要输入 HMAC。 然后是耗时的部分。 文件的前 16 个字节存