List of Pages in Category SQL (107 pages)
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A
)B
C
- CHAR Data Type (CDH 5.2 or higher only)
- Cloudera Impala Guide
- Comments
- COMPUTE STATS Statement
- Configuring HiveServer2
- Configuring Impala to Work with JDBC
- Configuring Impala to Work with ODBC
- COUNT Function
- CREATE DATABASE Statement
- CREATE FUNCTION Statement
- CREATE ROLE Statement (CDH 5.2 or higher only)
- CREATE TABLE Statement
- CREATE VIEW Statement
D
- Data Types
- DDL Statements
- DECIMAL Data Type (CDH 5.1 or higher only)
- DESCRIBE Statement
- Developing Impala Applications
- DISTINCT Operator
- DML Statements
- DOUBLE Data Type
- DROP DATABASE Statement
- DROP FUNCTION Statement
- DROP ROLE Statement (CDH 5.2 or higher only)
- DROP TABLE Statement
- DROP VIEW Statement
E
F
G
- GRANT Statement (CDH 5.2 or higher only)
- GROUP BY Clause
- GROUP_CONCAT Function
- Guidelines for Designing Impala Schemas
H
I
- Impala Aggregate Functions
- Impala Analytic Functions
- Impala Built-In Functions
- Impala Conditional Functions
- Impala Date and Time Functions
- Impala Mathematical Functions
- Impala Miscellaneous Functions
- Impala Reserved Words
- Impala Schema Objects and Object Names
- Impala SQL Language Reference
- Impala SQL Statements
- Impala String Functions
- Impala Tutorials
- Impala Type Conversion Functions
- impala-shell Command Reference
- INSERT Statement
- Installing the Hive JDBC on Clients
- Installing the JDBC Drivers for Sqoop 1
- INT Data Type
- INVALIDATE METADATA Statement
J
L
M
N
O
- OFFSET Clause
- ORDER BY Clause
- Overview of Impala Aliases
- Overview of Impala Databases
- Overview of Impala Functions
- Overview of Impala Identifiers
- Overview of Impala Tables
- Overview of Impala Views
P
- Partitioning for Impala Tables
- Performance Considerations for Join Queries
- Porting SQL from Other Database Systems to Impala
Q
R
- REAL Data Type
- REFRESH Statement
- REVOKE Statement (CDH 5.2 or higher only)
- Running Commands and SQL Statements in impala-shell
S
- SELECT Statement
- SET Statement
- SHOW Statement
- SMALLINT Data Type
- SQL Differences Between Impala and Hive
- SQL Operators
- STDDEV, STDDEV_SAMP, STDDEV_POP Functions
- STRING Data Type
- Subqueries in Impala SELECT Statements
- SUM Function
- SYNC_DDL Query Option
T
U
V
- VARCHAR Data Type (CDH 5.2 or higher only)
- VARIANCE, VARIANCE_SAMP, VARIANCE_POP, VAR_SAMP, VAR_POP Functions
W