Phoenix connector
Zipstack Cloud features a powerful SQL querying engine on top of many types of connectors, including those from Trino, some custom connectors and connectors from the open source Airbyte project. The underlying native connectors are Trino's connectors. Additionally, some parts of the documentation for these connectors have been adapted from the connector documentation found in Trino's open source project.
Please reach out to [email protected] if you need Phoenix with resources. This requires provisioning Zipstack Cloud with extra modules/properties.
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 Zipstack Cloud to the ZooKeeper servers. The default port is 2181.
A compatible version of Phoenix: all 5.x versions starting from 5.1.0 are supported.
Configuration
To configure the Phoenix connector, create a data source with these minimum properties. Replace
host1,host2,host3 with a comma-separated list of the ZooKeeper nodes
used for discovery of the HBase cluster:
connection-url=jdbc:phoenix:host1,host2,host3:2181:/hbase
The optional paths to Hadoop resource files, such as hbase-site.xml
are used to load custom Phoenix client connection properties.
The following Phoenix-specific configuration properties are available:
| Property name | Required | Description |
|---|---|---|
connection-url | Yes | jdbc:phoenix[:zk_quorum][:zk_port][:zk_hbase_path]. The zk_quorum is a comma separated list of ZooKeeper servers. The zk_port is the ZooKeeper port. The zk_hbase_path is the HBase root znode path, that is configurable using hbase-site.xml. By default the location is /hbase |
config.resources | No | Comma-separated list of configuration files (e.g. hbase-site.xml) to use for connection properties. These files must exist on the machines running Trino. |
max-scans-per-split | 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 max_scans_per_split. For details see: https://phoenix.apache.org/update_statistics.html. (This setting has no effect when guideposts are disabled in Phoenix.) |
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 | This value should be a duration. | 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.config-file.refresh-period | Frequency with which Trino checks the name matching configuration file for changes. This value should be a duration. | (refresh disabled) |
metadata.cache-ttl | The duration for which metadata, including table and column statistics, is cached. | 0s (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 |
dynamic-filtering.enabled | Push down dynamic filters into JDBC queries | true |
dynamic-filtering.wait-timeout | Maximum duration for which Trino will wait for dynamic filters to be collected from the build side of joins before starting a JDBC query. Using a large timeout can potentially result in more detailed dynamic filters. However, it can also increase latency for some queries. | 20s |
Domain compaction threshold
Pushing down a large list of predicates to the data source can
compromise performance. Trino compacts large predicates into a simpler
range predicate by default to ensure a balance between performance and
predicate pushdown. If necessary, the threshold for this compaction can
be increased to improve performance when the data source is capable of
taking advantage of large predicates. Increasing this threshold may
improve pushdown of large dynamic filters </admin/dynamic-filtering>.
The domain-compaction-threshold catalog configuration property or the
domain_compaction_threshold
catalog session property <session-properties-definition> can be used
to adjust the default value of 5000 for this threshold.
Procedures
system.flush_metadata_cache()Flush JDBC metadata caches. For example, the following system call flushes the metadata caches for all schemas in the
examplecatalogUSE example.example_schema;
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 example;
If you have a Phoenix schema named web, you can view the tables in
this schema by running SHOW TABLES:
SHOW TABLES FROM example.web;
You can see a list of the columns in the clicks table in the web
schema using either of the following:
DESCRIBE example.web.clicks;
SHOW COLUMNS FROM example.web.clicks;
Finally, you can access the clicks table in the web schema:
SELECT * FROM example.web.clicks;
If you used a different name for your catalog properties file, use that
catalog name instead of example in the above examples.
Type mapping
Because Trino and Phoenix each support types that the other does not,
this connector modifies some types <type-mapping-overview> when
reading or writing data. Data types may not map the same way in both
directions between Trino and the data source. Refer to the following
sections for type mapping in each direction.
Phoenix type to Trino type mapping
The connector maps Phoenix types to the corresponding Trino types following this table:
| Phoenix database type | Trino type |
|---|---|
BOOLEAN | BOOLEAN |
TINYINT | TINYINT |
UNSIGNED_TINYINT | TINYINT |
SMALLINT | SMALLINT |
UNSIGNED_SMALLINT | SMALLINT |
INTEGER | INTEGER |
UNSIGNED_INT | INTEGER |
BIGINT | BIGINT |
UNSIGNED_LONG | BIGINT |
FLOAT | REAL |
UNSIGNED_FLOAT | REAL |
DOUBLE | DOUBLE |
UNSIGNED_DOUBLE | DOUBLE |
DECIMAL(p,s) | DECIMAL(p,s) |
CHAR(n) | CHAR(n) |
VARCHAR(n) | VARCHAR(n) |
BINARY | VARBINARY |
VARBINARY | VARBINARY |
DATE | DATE |
UNSIGNED_DATE | DATE |
ARRAY | ARRAY |
No other types are supported.
Trino type to Phoenix type mapping
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.
The connector maps Trino types to the corresponding Phoenix types following this table:
| Trino database type | Phoenix type |
|---|---|
BOOLEAN | BOOLEAN |
TINYINT | TINYINT |
SMALLINT | SMALLINT |
INTEGER | INTEGER |
BIGINT | BIGINT |
REAL | FLOAT |
DOUBLE | DOUBLE |
DECIMAL(p,s) | DECIMAL(p,s) |
CHAR(n) | CHAR(n) |
VARCHAR(n) | VARCHAR(n) |
VARBINARY | VARBINARY |
TIME | TIME |
DATE | DATE |
ARRAY | ARRAY |
No other types are supported.
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 |
|---|---|---|
unsupported-type-handling | Configure how unsupported column data types are handled:IGNORE, column is not accessible.CONVERT_TO_VARCHAR, column is converted to unbounded VARCHAR.The respective catalog session property is unsupported_type_handling. | IGNORE |
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 example_schema.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 |
|---|---|---|
rowkeys | ROWKEY | Comma-separated list of primary key columns. See further description below |
split_on | (none) | List of keys to presplit the table on. See Split Point. |
salt_buckets | (none) | Number of salt buckets for this table. |
disable_wal | false | Whether to disable WAL writes in HBase for this table. |
immutable_rows | 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 |
|---|---|---|
versions | 1 | The maximum number of versions of each cell to keep. |
min_versions | 0 | The minimum number of cell versions to keep. |
compression | NONE | Compression algorithm to use. Valid values are NONE (default), SNAPPY, LZO, LZ4, or GZ. |
data_block_encoding | FAST_DIFF | Block encoding algorithm to use. Valid values are: NONE, PREFIX, DIFF, FAST_DIFF (default), or ROW_INDEX_V1. |
ttl | FOREVER | 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 <sql-globally-available> and
read operation <sql-read-operations> statements, the connector
supports the following features:
/sql/insert/sql/delete/sql/create-table/sql/create-table-as/sql/drop-table/sql/create-schema/sql/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.