Starburst SAP HANA connector#

The SAP HANA connector allows querying and creating tables in an external database. Connectors let Starburst Enterprise platform (SEP) join data provided by different databases, like SAP HANA and Hive, or different database instances.

Requirements#

To connect to SAP HANA, you need:

  • SAP HANA version 2.0 or higher.

  • Network access from the coordinator and workers to the SAP HANA server. Port 30015 the default port for instance 00.

  • A valid Starburst Enterprise license.

Configuration#

  • Get the JDBC driver for SAP HANA from SAP

  • Add the JDBC driver JAR file to the SEP plugin/sap-hana directory on all the nodes

  • Restart SEP on every node

To configure the SAP HANA connector as the myhanadb catalog, create a file named myhanadb.properties in etc/catalog:

connector.name=sap-hana
connection-url=jdbc:sap://Hostname:Port/?optionalparameters
connection-user=USERNAME
connection-password=PASSWORD

Refer to the SAP HANA for more information about format and parameters of the JDBC URL supported by the SAP HANA JDBC driver.

Type mapping#

Because SEP and SAP HANA each support types that the other does not, this connector modifies some types when reading or writing data.

SAP HANA to SEP read type mapping#

The following read type mapping applies when data is read from existing tables in SAP HANA, or inserted into existing tables in SAP HANA from SEP.

SAP HANA to SEP type mapping#

SAP HANA database type

SEP type

Notes

BOOLEAN

BOOLEAN

TINYINT

TINYINT

SMALLINT

SMALLINT

INTEGER

INTEGER

BIGINT

BIGINT

REAL

REAL

DOUBLE

DOUBLE

FLOAT(p)

REAL for p <= 24, DOUBLE otherwise

DECIMAL(p, s)

DECIMAL(p, s)

DECIMAL

DOUBLE

SAP HANA’s DECIMAL with precision and scale not specified represents a floating-point decimal number

SMALLDECIMAL

DOUBLE

SAP HANA’s DECIMAL with precision and scale not specified represents a floating-point decimal number

NCHAR

CHAR

VARCHAR(n)

VARCHAR(n)

NVARCHAR(n)

VARCHAR(n)

ALPHANUM(n)

VARCHAR(n)

SHORTTEXT(n)

VARCHAR(n)

CLOB

VARCHAR (unbounded)

NCLOB

VARCHAR (unbounded)

TEXT

VARCHAR (unbounded)

BINTEXT

VARCHAR (unbounded)

VARBINARY(n)

VARBINARY

BLOB

VARBINARY

DATE

DATE

TIME

TIME(0)

SECONDDATE

TIMESTAMP(0)

TIMESTAMP

TIMESTAMP(7)

All other types aren’t supported.

SEP to SAP HANA write type mapping#

The following write type mapping applies when tables are created in SAP HANA from SEP.

SEP to SAP HANA type mapping#

SEP type

SAP HANA database type

Notes

BOOLEAN

BOOLEAN

TINYINT

TINYINT

SMALLINT

SMALLINT

INTEGER

INTEGER

BIGINT

BIGINT

REAL

REAL

DOUBLE

DOUBLE

DECIMAL(p, s)

DECIMAL(p, s)

CHAR

CHAR or NCLOB

VARCHAR

NVARCHAR or CLOB

VARBINARY

BLOB

DATE

DATE

TIME(p)

TIME

TIMESTAMP(p)

SECONDDATE for p = 0, TIMESTAMP otherwise

All other types aren’t supported.

General 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

case-insensitive-name-matching

Support case insensitive database and collection names

False

case-insensitive-name-matching.cache-ttl

1 minute

metadata.cache-ttl

Duration for which metadata, including table and column statistics, is cached

0 (disabled caching)

metadata.cache-missing

Cache the fact that metadata, including table and column statistics, is not available

False

SQL support#

The connector provides read access and limited write access to data and metadata in SAP HANA. The following section lists all supported SQL statements and provides further details.

Important

No other SQL statements are supported.

Read access:

Write access:

Other supported commands:

Views#

The connector can read data from views, including SAP HANA calculation views.

Performance#

The connector includes a number of performance improvements, detailed in the following sections.

Table statistics#

The SAP HANA connector supports table and column statistics to improve query processing performance based on the actual data in the data source.

The statistics are collected by SAP HANA and retrieved by the connector.

You have to use the CREATE STATISTICS command in SAP HANA to initiate creation and ongoing collection and update of the relevant statistics. You can find more information about statistics collection in the SAP HANA documentation.

The connector and SEP support the statistic types HISTOGRAM, SIMPLE, and TOPK.

Note

The collection in SAP HANA can take considerable time and depends on the data size. You can use the MERGE DELTA command to affect availability of the statistics.

Pushdown#

The connector supports pushdown for a number of operations:

Aggregate pushdown for the following functions:

Additionally, for the aggregate functions below, pushdown is only supported for DOUBLE type columns:

Dynamic filtering#

Dynamic filtering is enabled by default. It causes the connector to wait for dynamic filtering to complete before starting a JDBC query.

You can disable dynamic filtering by setting the property dynamic-filtering.enabled in your catalog properties file to false.

JDBC connection pooling#

You can improve performance by enabling JDBC connection pooling, which is disabled by default.

Security#

The connector includes a number of security-related features, detailed in the following sections.

Password credential pass-through#

The connector supports password credential pass-through. To enable it, edit the catalog properties file to include the authentication type:

sap-hana.authentication.type=PASSWORD_PASS_THROUGH

For more information about configurations and limitations, see Password credential pass-through.