Overview of Impala Tables Internal Tables External Tables File Formats Kudu Tables Overview of Impala Tables Tables are the primary containers for data in Impala. They have...
EXPLAIN Statement EXPLAIN Statement Returns the execution plan for a statement, showing the low-level mechanisms that Impala will use to read the data, divide the work among no...
INVALIDATE METADATA Statement INVALIDATE METADATA Statement The INVALIDATE METADATA statement marks the metadata for one or all tables as stale. The next time the Impala servi...
CREATE TABLE Statement CREATE TABLE Statement Creates a new table and specifies its characteristics. While creating a table, you optionally specify aspects such as: Whether t...
CREATE TABLE Statement CREATE TABLE Statement Creates a new table and specifies its characteristics. While creating a table, you optionally specify aspects such as: Whether t...
DML Statements DML Statements DML refers to “Data Manipulation Language”, a subset of SQL statements that modify the data stored in tables. Because Impala focuses on query perf...
DELETE Statement (Impala 2.8 or higher only) DELETE Statement (Impala 2.8 or higher only) Deletes an arbitrary number of rows from a Kudu table. This statement only works for I...
DELETE Statement (Impala 2.8 or higher only) DELETE Statement (Impala 2.8 or higher only) Deletes an arbitrary number of rows from a Kudu table. This statement only works for I...
对比 Kudu Hive事务 HBase 流式处理 对比 Apache Hudi填补了在DFS上处理数据的巨大空白,并可以和这些技术很好地共存。然而, 通过将Hudi与一些相关系统进行对比,来了解Hudi如何适应当前的大数据生态系统,并知晓这些系统在设计中做的不同权衡仍将非常有用。 Kudu Apache Kudu 是一个与Hudi具有...