List of Pages in Category Querying (104 pages)
*
A
- ABORT_ON_ERROR Query Option
- Accessing Apache Hive Table Statistics in CDH
- Accessing HBase by using the HBase Shell
- Accessing HBase by using the HBase Shell
- Accessing Table Data with MapReduce
- Accessing Table Data with Pig
- Accessing Table Information with REST
- Accessing Table Information with the HCatalog Command-line API
- Admission Control and Query Queuing
- APPX_MEDIAN Function
- AVG Function
)B
C
- Cloudera Search Tasks and Processes
- COMPUTE_STATS_MIN_SAMPLE_SIZE Query Option
- Configuration Settings for HBase
- Configuring Impala to Work with JDBC
- Configuring Impala to Work with JDBC
- Configuring Impala to Work with ODBC
- Configuring Impala to Work with ODBC
- Configuring Quotas
- COUNT Function
D
- DEBUG_ACTION Query Option
- DEFAULT_JOIN_DISTRIBUTION_MODE Query Option
- DEFAULT_SPILLABLE_BUFFER_SIZE Query Option
- DISTINCT Operator
E
- EXEC_TIME_LIMIT_S Query Option (CDH 5.15 / Impala 2.12 or higher only)
- EXPLAIN Statement
- EXPLAIN_LEVEL Query Option
G
H
- HAVING Clause
- HBase Filtering
- How to Configure Impala with Dedicated Coordinators
- How to Enable Sensitive Data Redaction
I
- IDLE_SESSION_TIMEOUT Query Option (CDH 5.15 / Impala 2.12 or higher only)
- Impala Aggregate Functions
- Impala Analytic Functions
- Impala Bit Functions
- Impala Built-In Functions
- Impala Conditional Functions
- Impala Date and Time Functions
- Impala Mathematical Functions
- Impala Miscellaneous Functions
- Impala Query Metrics
- Impala Schema Objects and Object Names
- Impala String Functions
- Impala Tutorials
- Impala Type Conversion Functions
J
L
- LIMIT Clause
- LIVE_PROGRESS Query Option (CDH 5.5 or higher only)
- LIVE_SUMMARY Query Option (CDH 5.5 or higher only)
M
- MAX Function
- MAX_MEM_ESTIMATE_FOR_ADMISSION Query Option
- MAX_ROW_SIZE Query Option
- MIN Function
- MIN_SPILLABLE_BUFFER_SIZE Query Option
- MT_DOP Query Option
N
O
- OFFSET Clause
- Optimizer Hints in Impala
- OPTIMIZE_PARTITION_KEY_SCANS Query Option (CDH 5.7 or higher only)
- Orchestrating SQL and APIs with Apache Phoenix
- ORDER BY Clause
- Overview of Impala Aliases
- Overview of Impala Databases
- Overview of Impala Identifiers
- Overview of Impala Tables
- Overview of Impala Views
- Overview of Ingesting and Querying Data with Apache Hive in CDH
P
Q
- Query Details
- Query Options for the SET Statement
- Query Vectorization for Apache Hive in CDH
- QUERY_TIMEOUT_S Query Option (CDH 5.2 or higher only)
R
- Reading Data from HBase
- RESOURCE_TRACE_RATIO Query Option (CDH 6.2 / Impala 3.2 or higher only)
- Running Apache Hive on Spark in CDH
- Runtime Filtering for Impala Queries (CDH 5.7 or higher only)
S
- Scalability Considerations for Impala
- SELECT Statement
- SET Statement
- Specifying Impala Credentials to Access Data in S3
- Specifying Impala Credentials to Access Data in S3 with Cloudera Manager
- STDDEV, STDDEV_SAMP, STDDEV_POP Functions
- Subqueries in Impala SELECT Statements
- SUM Function
T
- Table and Column Statistics
- TABLESAMPLE Clause
- TIMEZONE Query Option (CDH 6.1 / Impala 3.1 or higher only)
- TOPN_BYTES_LIMIT Query Option (CDH 6.1 / Impala 3.1 or higher only)
- Tuning Impala for Performance
U
- Understanding Impala Query Performance - EXPLAIN Plans and Query Profiles
- UNION Clause
- Using HBase Command-Line Utilities
- Using Impala to Query HBase Tables
- Using Impala to Query Kudu Tables
- Using Impala with the Amazon S3 Filesystem
- Using Impala with the Azure Data Lake Store (ADLS)
- Using the Impala Shell (impala-shell Command)
V
W