Phoenix connector
The Phoenix connector allows querying data stored in Apache HBase using Apache Phoenix.
Requirements
To query HBase data through Phoenix, you need:
- Network access from the Trino coordinator and workers to the ZooKeeper servers. The default port is 2181.
- A compatible version of Phoenix. There are two versions of this
connector to support different Phoenix versions:
- The
phoenix
connector is compatible with all Phoenix 4.x versions starting from 4.14.1. - The
phoenix5
connector is compatible with all Phoenix 5.x versions starting from 5.1.0.
- The
Configuration
To configure the Phoenix connector, create a catalog properties file
etc/catalog/phoenix.properties
with the following contents, replacing
host1,host2,host3
with a comma-separated list of the ZooKeeper nodes
used for discovery of the HBase cluster:
connector.name=phoenix
phoenix.connection-url=jdbc:phoenix:host1,host2,host3:2181:/hbase
phoenix.config.resources=/path/to/hbase-site.xml
The optional paths to Hadoop resource files, such as hbase-site.xml
are used to load custom Phoenix client connection properties.
For HBase 2.x and Phoenix 5.x (5.1.0 or later) use:
connector.name=phoenix5
The following Phoenix-specific configuration properties are available:
Property Name | Required | Description |
---|---|---|
| Yes |
|
| No | Comma-separated list of configuration files (e.g. |
| No | Maximum number of HBase scans that will be performed in a single split. Default is 20. Lower values will lead to more splits in Trino. Can also be set via session propery |
General configuration properties
The following table describes general catalog configuration properties for the connector:
Property name | Description | Default value |
---|---|---|
case-insensitive-name-matching | Support case insensitive schema and table names. | false |
case-insensitive-name-matching.cache-ttl | 1m | |
case-insensitive-name-matching.config-file | Path to a name mapping configuration file in JSON format that allows Trino to disambiguate between schemas and tables with similar names in different cases. | null |
case-insensitive-name-matching.refresh-period | Frequency with which Trino checks the name matching configuration file for changes. | 0 (refresh disabled) |
metadata.cache-ttl | Duration for which metadata, including table and column statistics, is cached. | 0 (caching disabled) |
metadata.cache-missing | Cache the fact that metadata, including table and column statistics, is not available | false |
metadata.cache-maximum-size | Maximum number of objects stored in the metadata cache | 10000 |
write.batch-size | Maximum number of statements in a batched execution. Do not change this setting from the default. Non-default values may negatively impact performance. | 1000 |
Procedures
system.flush_metadata_cache()
Flush JDBC metadata caches. For example, the following system call flushes the metadata caches for all schemas in the
example
catalogUSE example.myschema;
CALL system.flush_metadata_cache();
Case insensitive matching
When case-insensitive-name-matching
is set to true
, Trino is able to
query non-lowercase schemas and tables by maintaining a mapping of the
lowercase name to the actual name in the remote system. However, if two
schemas and/or tables have names that differ only in case (such as
"customers" and "Customers") then Trino fails to query them due to
ambiguity.
In these cases, use the case-insensitive-name-matching.config-file
catalog configuration property to specify a configuration file that maps
these remote schemas/tables to their respective Trino schemas/tables:
{
"schemas": [
{
"remoteSchema": "CaseSensitiveName",
"mapping": "case_insensitive_1"
},
{
"remoteSchema": "cASEsENSITIVEnAME",
"mapping": "case_insensitive_2"
}],
"tables": [
{
"remoteSchema": "CaseSensitiveName",
"remoteTable": "tablex",
"mapping": "table_1"
},
{
"remoteSchema": "CaseSensitiveName",
"remoteTable": "TABLEX",
"mapping": "table_2"
}]
}
Queries against one of the tables or schemes defined in the mapping
attributes are run against the corresponding remote entity. For example,
a query against tables in the case_insensitive_1
schema is forwarded
to the CaseSensitiveName schema and a query against case_insensitive_2
is forwarded to the cASEsENSITIVEnAME
schema.
At the table mapping level, a query on case_insensitive_1.table_1
as
configured above is forwarded to CaseSensitiveName.tablex
, and a query
on case_insensitive_1.table_2
is forwarded to
CaseSensitiveName.TABLEX
.
By default, when a change is made to the mapping configuration file,
Trino must be restarted to load the changes. Optionally, you can set the
case-insensitive-name-mapping.refresh-period
to have Trino refresh the
properties without requiring a restart:
case-insensitive-name-mapping.refresh-period=30s
Non-transactional INSERT
The connector supports adding rows using
INSERT statements </sql/insert>
. By default, data insertion is
performed by writing data to a temporary table. You can skip this step
to improve performance and write directly to the target table. Set the
insert.non-transactional-insert.enabled
catalog property or the
corresponding non_transactional_insert
catalog session property to
true
.
Note that with this property enabled, data can be corrupted in rare cases where exceptions occur during the insert operation. With transactions disabled, no rollback can be performed.
Querying Phoenix tables
The default empty schema in Phoenix maps to a schema named default
in
Trino. You can see the available Phoenix schemas by running
SHOW SCHEMAS
:
SHOW SCHEMAS FROM phoenix;
If you have a Phoenix schema named web
, you can view the tables in
this schema by running SHOW TABLES
:
SHOW TABLES FROM phoenix.web;
You can see a list of the columns in the clicks
table in the web
schema using either of the following:
DESCRIBE phoenix.web.clicks;
SHOW COLUMNS FROM phoenix.web.clicks;
Finally, you can access the clicks
table in the web
schema:
SELECT * FROM phoenix.web.clicks;
If you used a different name for your catalog properties file, use that
catalog name instead of phoenix
in the above examples.
Type mapping
The data type mappings are as follows:
Phoenix | Trino |
---|---|
BOOLEAN | (same) |
TINYINT | (same) |
UNSIGNED_TINYINT | TINYINT |
SMALLINT | (same) |
UNSIGNED_SMALLINT | SMALLINT |
INTEGER | (same) |
UNSIGNED_INTEGER | INTEGER |
BIGINT | (same) |
UNSIGNED_LONG | BIGINT |
FLOAT | REAL |
UNSIGNED_FLOAT | FLOAT |
DOUBLE | (same) |
UNSIGNED_DOUBLE | DOUBLE |
DECIMAL | (same) |
BINARY | VARBINARY |
VARBINARY | (same) |
TIME | (same) |
UNSIGNED_TIME | TIME |
DATE | (same) |
UNSIGNED_DATE | DATE |
CHAR | (same) |
VARCHAR | (same) |
ARRAY | (same) |
The Phoenix fixed length BINARY
data type is mapped to the Trino
variable length VARBINARY
data type. There is no way to create a
Phoenix table in Trino that uses the BINARY
data type, as Trino does
not have an equivalent type.
Decimal type handling
DECIMAL
types with unspecified precision or scale are mapped to a
Trino DECIMAL
with a default precision of 38 and default scale of 0.
The scale can be changed by setting the decimal-mapping
configuration
property or the decimal_mapping
session property to allow_overflow
.
The scale of the resulting type is controlled via the
decimal-default-scale
configuration property or the
decimal-rounding-mode
session property. The precision is always 38.
By default, values that require rounding or truncation to fit will cause
a failure at runtime. This behavior is controlled via the
decimal-rounding-mode
configuration property or the
decimal_rounding_mode
session property, which can be set to
UNNECESSARY
(the default), UP
, DOWN
, CEILING
, FLOOR
,
HALF_UP
, HALF_DOWN
, or HALF_EVEN
(see
RoundingMode).
Type mapping configuration properties
The following properties can be used to configure how data types from the connected data source are mapped to Trino data types and how the metadata is cached in Trino.
Property name | Description | Default value |
---|---|---|
| Configure how unsupported column data types are handled:
The respective catalog session property is |
|
jdbc-types-mapped-to-varchar | Allow forced mapping of comma separated lists of data types to convert to unbounded VARCHAR |
Table properties - Phoenix
Table property usage example:
CREATE TABLE myschema.scientists (
recordkey VARCHAR,
birthday DATE,
name VARCHAR,
age BIGINT
)
WITH (
rowkeys = 'recordkey,birthday',
salt_buckets = 10
);
The following are supported Phoenix table properties from
https://phoenix.apache.org/language/index.html#options
Property Name | Default Value | Description |
---|---|---|
|
| Comma-separated list of primary key columns. See further description below |
| (none) | List of keys to presplit the table on. See Split Point. |
| (none) | Number of salt buckets for this table. |
| false | Whether to disable WAL writes in HBase for this table. |
| false | Declares whether this table has rows which are write-once, append-only. |
default_column_family | 0 | Default column family name to use for this table. |
rowkeys
This is a comma-separated list of columns to be used as the table's
primary key. If not specified, a BIGINT
primary key column named
ROWKEY
is generated , as well as a sequence with the same name as the
table suffixed with _seq
(i.e. <schema>.<table>_seq
) , which is used
to automatically populate the ROWKEY
for each row during insertion.
Table properties - HBase
The following are the supported HBase table properties that are passed
through by Phoenix during table creation. Use them in the same way as
above: in the WITH
clause of the CREATE TABLE
statement.
Property Name | Default Value | Description |
---|---|---|
|
| The maximum number of versions of each cell to keep. |
|
| The minimum number of cell versions to keep. |
|
| Compression algorithm to use. Valid values are |
|
| Block encoding algorithm to use. Valid values are: |
|
| Time To Live for each cell. |
bloomfilter | NONE | Bloomfilter to use. Valid values are NONE (default),ROW , or ROWCOL . |
SQL support
The connector provides read and write access to data and metadata in Phoenix. In addition to the globally available and read operation statements, the connector supports the following features:
- INSERT
- DELETE
- CREATE TABLE
- CREATE TABLE
- DROP TABLE
- CREATE SCHEMA
- DROP SCHEMA
SQL DELETE
If a WHERE
clause is specified, the DELETE
operation only works if
the predicate in the clause can be fully pushed down to the data source.