analysisexception impala does not support modifying a non kudu table

我想知道我是否可以將我的非Kudu表更改為Kudu表，還是可以替代 update statement 適用於黑斑羚中的非Kudu. Kudu does not allow you to update the primary key columns of a row. Non-alterable Partitioning. Kudu does not allow you to alter the primary key columns after table creation. In addition, you can use JDBC or ODBC to … Columns may be renamed in Kudu to work around this issue. This supports CREATE TABLE syntax to specify the default values, but more importantly this fixes the loading of Kudu tables that may have had default values set on UNIXTIME_MICROS columns, e.g. AnalysisException: Impala does not support modifying a non-Kudu table: john_estares_db.tempdbhue. TIA This is my create statement for impala-shell: CREATE TABLE IF NOT EXISTS tmp.demo0011( uid Bigint, comment'用户uid' nick String, comment'昵称' primary key(uid) ) partition by hash(uid) partitions 128 stored as kudu tblproperties ( 'kudu.master_addresses'='10.10.10.1' ); When I enter desc tmp.demo0011; I get: Kudu 与 Apache Impala （孵化）紧密集成，允许开发人员使用 Impala 使用 Impala 的 SQL 语法从 Kudu tablets 插入，查询，更新和删除数据；安装impala 安装规划 1：Imppalla catalog服务将SQL语句做出的元.... Kudu-Impala集成特性. Kudu does not allow you to change how a table is partitioned after creation, with the exception of adding or dropping range partitions. As data often lands in Hadoop continuously in certain use cases (such as time-series analysis, real-time fraud detection, real-time risk detection, and so on), it’s desirable for Impala to query this new “fast” data with minimal delay and without interrupting running […] For best compatibility with the S3 write support in CDH 5.8 / Impala 2.6 and higher: . ; By default, when you drop an internal (managed) table, the data files are moved to the HDFS trashcan. You can use Impala Update command to update an arbitrary number of rows in a Kudu table. Use native Hadoop techniques to create data files in S3 for querying through Impala. Learn the details about using Impala alongside Kudu. There are many advantages when you create tables in Impala using Apache Kudu as a storage format. In this scenario, you receive an error similar to the following: See IMPALA-4163 for details on the hint.. Just like with the "sortby" hint the SORT BY clause can only contain non-partition columns for HDFS tables and non-primary key columns for Kudu tables. Kudu tables with a name containing upper case or non-ascii characters must be assigned an alternate name when used as an external table in Impala. While support for TIMESTAMP columns in Kudu tables has been committed (IMPALA-5137), it does not support TIMESTAMP column default values. Kudu tables with a column name containing upper case or non-ascii characters may not be used as an external table in Impala. The above table creation has the effect that all inserts into the table have an implicit "sortby(day,hour)" plan hint applied. Use the PURGE clause of DROP TABLE when dropping internal (managed) tables. Non-alterable Primary Key. if the table was created via the python client. The default database is not used when you use SAS/ACCESS Interface to Impala with PROC FEDSQL. Impala Update Command on Kudu Tables; Update Impala Table using Intermediate or Temporary Tables ; Impala Update Command on Kudu Tables. Impala is designed to deliver insight on data in Apache Hadoop in real time. Kudu (currently in beta), the new storage layer for the Apache Hadoop ecosystem, is tightly integrated with Impala, allowing you to insert, query, update, and delete data from Kudu tablets using Impala’s SQL syntax, as an alternative to using the Kudu APIs to build a custom Kudu application. kudu集成impala. The python client of a row can use Impala Update Command to Update arbitrary! Around this issue used when you use SAS/ACCESS Interface to Impala with PROC.... Upper case or non-ascii characters may not be used as an external table in Impala Apache..., with the exception of adding or dropping range partitions Impala alongside Kudu DROP table when dropping internal ( )... Columns in Kudu to work around this issue default values default values,! 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