scalability），Greenplum 可以采用各种开发语言来扩展用户自定 义函数（UDF）（我个人是 Python 和 C 的 fans，后续章节与大家分享）。 这些自定义函数部署到 Greenplum 后可用充分享受到实例级别的并行 性能优势，我们强烈建议用户将库外的处理逻辑，部署到用 MPP 数 据库的 UDF 这种 In-Database 的方式来处理，你将获得意想不到的性 能和方便性；例如 要简单的改写原有代码后部署到 GP 中，通过并行计算获得数十倍性 能提高。 另外，GPTEXT（lucent 全文检索）、Apache Madlib（开源挖掘算法）、 SAS algorithm、R 都是通过 UDF 方式实现在 Greenplum 集群中分布 式部署，从而获得库内计算的并行能力。这里可以分享的是，SAS 曾 经做过测试，对 1 亿条记录做逻辑回归，采用一台小型机耗时约 4 个 多小时，通过部署到 可提供一份安装指南《Protegrity 数据库保护器 - Pivotal Greenplum》。该文件列明了在 Greenplum 主档和节点上安装 PEP 服务器所需执行的步骤，它还包含应该如何导入 Greenplum 必要的 UDF（用户自定义函数，即内嵌入数据库的小节点例程）以操作数据 并与 PEP 应用程序通信的相关说明。 为了验证安装是否成功，请查看 Protegrity 功能是否已创建。此外， 请检查 pty_whoami

Modules and Extensions 367725 Resolves an issue where an issue with a PL/Python user-defined function (UDF) caused Greenplum master process reset. This fix now reports the error a Python exception. Release can fail due to lack of dependency checking in Greenplum 4 catalog tables. For example, restoring a UDF can fail if it references a custom data type that is created later in the backup file. The INTO error_table use_container_logging. The default is no logging. The PL/Container log information is the information from the UDF that is run in the Docker container. By default, the PL/Container log information is sent to a system

Tanzu Greenplum 6 Documentation VMware, Inc 464 Greenplum 4 catalog tables. For example, restoring a UDF can fail if it references a custom data type that is created later in the backup file. The INTO error_table use_container_logging. The default is no logging. The PL/Container log information is the information from the UDF that is run in the Docker container. By default, the PL/Container log information is sent to a system troubleshooting a PL/Container UDF, you can change the Greenplum Database log level with the SET command. You can set the parameter in the session before you run your PL/Container UDF. This example sets the

can fail due to lack of dependency checking in Greenplum 4 catalog tables. For example, restoring a UDF can fail if it references a custom data type that is created later in the backup file. The INTO error_table use_container_logging. The default is no logging. The PL/Container log information is the information from the UDF that is run in the Docker container. By default, the PL/Container log information is sent to a system troubleshooting a PL/Container UDF, you can change the Greenplum Database log level with the SET command. You can set the parameter in the session before you run your PL/Container UDF. This example sets the

can fail due to lack of dependency checking in Greenplum 4 catalog tables. For example, restoring a UDF can fail if it references a custom data type that is created later in the backup file. The INTO error_table use_container_logging. The default is no logging. The PL/Container log information is the information from the UDF that is run in the Docker container. By default, the PL/Container log information is sent to a system troubleshooting a PL/Container UDF, you can change the Greenplum Database log level with the SET command. You can set the parameter in the session before you run your PL/Container UDF. This example sets the

can fail due to lack of dependency checking in Greenplum 4 catalog tables. For example, restoring a UDF can fail if it references a custom data type that is created later in the backup file. The INTO error_table use_container_logging. The default is no logging. The PL/Container log information is the information from the UDF that is run in the Docker container. By default, the PL/Container log information is sent to a system troubleshooting a PL/Container UDF, you can change the Greenplum Database log level with the SET command. You can set the parameter in the session before you run your PL/Container UDF. This example sets the

can fail due to lack of dependency checking in Greenplum 4 catalog tables. For example, restoring a UDF can fail if it references a custom data type that is created later in the backup file. The INTO error_table use_container_logging. The default is no logging. The PL/Container log information is the information from the UDF that is run in the Docker container. By default, the PL/Container log information is sent to a system troubleshooting a PL/Container UDF, you can change the Greenplum Database log level with the SET command. You can set the parameter in the session before you run your PL/Container UDF. This example sets the

use_container_logging. The default is no logging. The PL/Container log information is the information from the UDF that is run in the Docker container. By default, the PL/Container log information is sent to a system troubleshooting a PL/Container UDF, you can change the Greenplum Database log level with the SET command. You can set the parameter in the session before you run your PL/Container UDF. This example sets the performance even if a PL/Container UDF is not running. VMware Greenplum 7 Documentation VMware by Broadcom 747 Python and R call stack information is not displayed when debugging a UDF. The plpy.execute() methods

相似。如果一个查询使用了外部组件(如 PL/Container)，该查询将会有两个部分， 一部分是查询本身在 GP 数据库中运行，而另一部分 UDF 则在 PL/Container 容器中 运行，在 GP 数据库中运行的查询本身由 ROLE 的资源组来管理，在 PL/Container 运行的 UDF 由 PL/Container 的资源组管理，后者在 pg_stat_activity 视图中 无法体现，数据库无法获取 代价愈加的凸显，应 该绝对禁止将尺寸较大的事实表使用复制分布策略！ 复制表的主要应用场景：  在复制表上没有UDF无法在Instance上查询的限制，以前，UDF如果访问了业务 表，则不允许在Instance上执行，而如果访问的是复制表，UDF在Instance上 允许对该表进行只读的查询，当然，修改数据的操作仍然是不被允许的。  对于与其他表关联时需要被广播的 在6版本中，删除了Filespace的概念，所以，也删除了pg_filespace和 pg_filespace_entry两张系统表。  对于DDL备份来说，如果UDF引用了的自定义类型或者其UDF，而该自定义类 型或者UDF的定义在DDL备份文件的后面部分，则UDF的恢复会失败，不过可 以尝试多执行几次DDL恢复来解决这类依赖问题。  在4.3版本，可读外部表支持INTO error_table，而该特性从5版本开始已经被

can fail due to lack of dependency checking in Greenplum 4 catalog tables. For example, restoring a UDF can fail if it references a custom data type that is created later in the backup file. The INTO error_table language is installed with Greenplum Database. To create and run a PL/Python user-defined function (UDF) in a database, you must register the PL/Python language with the database. Enabling PL/Python Support real, double float numeric decimal other primitive types string SQL null value None 1 When the UDF return type is boolean, the Greenplum Database evaluates the return value for truth according to Python