Relational databases

Prerequisites

if you are using Integrator as a cloud service, while creating a connection to the database, please make sure that:

1. The database is Internet-facing (available from the Internet).
2. The IP address for the host app.etlworks.com is white-listed for your database server.

Etlworks Integrator works equally well with all relational and NoSQL databases, as long as there is a JDBC driver for the database, and the database can be accessed from the server which is running Integrator.

Available database connections

The following connectors are available out-of-the-box:

• Oracle
• MS SQL Server
• DB2
• PostgreSQL
• MySQL
• Informix
• Sybase ASE
• Snowflake
• Amazon RDS
• Amazon Aurora PostgreSQL
• Amazon Aurora MySQL
• Amazon Redshift
• Microsoft Access
• Teradata
• Google BigQuery
• Apache Hive
• Derby (JavaDB)
• SQLite

Creating a database connection

To create a database connection, open the Connections window, click the + button, and select Database in the left navigation bar. Select the database from the gallery. Enter the database connection parameters.

The database connection parameters.

• Driver (optional) - the JDBC driver class name. When one of the predefined connection types (for example, Oracle) is selected, the driver is preset.
• URL - the connection URL. You will need replace tokens, like <host>, <port>,<database> with the actual host name, port and database. Some tokens include default values.

• before: jdbc:postgresql://<host>:<port=5432>/<database>
  after:  jdbc:postgresql://localhost:5432/mydb
  

if needed, you can use the tokens {user} and {password} to pass non-standard credentials for the username and password. For example, to connect to the Google BigQuery you will need to provide a service account email and path to a secret key file. Example: OAuthServiceAcctEmail={user};OAuthPvtKeyPath={password}.

the URL can include advanced options, such as enabling SSL, etc. Please visit the database vendor web site for more information.

• User - username.
• Password - password.
• Auto Commit - connections with Auto Commit set to Yes commit the transaction on each executed SQL statement. Set this flag to Yes if you expect a very high volume of transactions or are planning to execute DDL statements.
• Run at Connect - the SQL statements to run each time a connection to the database is established. 

• you can run multiple ; separated SQL statements.

  PostgreSQL connection
  

Connecting to Oracle

To create a connection to an Oracle database, open the Connections window, click the + button, and type in oracle. Choose a connection type from the list of available Oracle connections.

Enter the connection parameters.

The following link details the properties that are available for an Oracle connection's URL.

Connecting to MS SQL Server

To create a connection to a Microsoft SQL Server database, open the Connections window, click the + button, and type in sql server. Select Microsoft SQL Server.

Enter the connection parameters.

The following link details the properties that are available for a Microsoft Sql Server connection's URL.

Connecting to IBM DB2

To create a connection to an IBM DB2 database, open the Connections window, click the + button, and type in db2. Select IBM DB2.

Enter the connection parameters.

The following link details the properties that are available for an IBM DB2 connection's URL.

Connecting to PostgreSQL

To create a connection to a PostgreSQL database, open the Connections window, click the + button, and type in postres. Select PostgreSQL.

Enter the connection parameters.

The following link details the properties that are available for a PostgreSQL connection's URL.

Secure PostgreSQL Connections with SSL

To connect to the PostgreSQL database with SSL you will need a server certificate, a client certificate and a private key for the client certificate. In most cases they will be provided as pem files.

• server-ca.pem - server certificate

• client-cert.pem - client certificate

• client-key.pem - private key

The server and the client certificates can be used as is (as pem files) but the private key must be PKCS8 and stored in DER format.

You can convert client-key.pem to the PKCS8 with openssl:

openssl pkcs8 -topk8 -inform PEM -outform DER -in client-key.pem -out postgresql.pk8 -nocrypt

Once you have the certificates and the private key you can upload them into the Server Storage.

it is recommended to create a folder under the Server Storage, for example postgres-certificates, and upload files into this folder.

Once files have been uploaded you can modify the JDBC URL for the PostgreSQL connection as below:

jdbc:postgresql://host:5432/database?ssl=true&sslfactory=org.postgresql.ssl.jdbc4.LibPQFactory&sslmode=require&sslrootcert={app.data}postgres-certificates/server-ca.pem&sslcert={app.data}postgres-certificates/client-cert.pem&sslkey={app.data}postgres-certificates/postgresql.pk8

host, port, database name, names of the certificates and the private key file, as well as the name of the folder with the certificates must be replaced on actual.

Connecting to MySQL

To create a connection to an MySQL database, open the Connections window, click the + button, and type in mysql. Select MySQL.

Enter the connection parameters.

The following link details the properties that are available for a MySQL connection's URL.

Secure MySQL Connections with SSL

To connect to the MySQL database with SSL you will need a server certificate, a client certificate and a private key for the client certificate. In most cases they will be provided as pem files.

• server-ca.pem - server certificate

• client-cert.pem - client certificate

• client-key.pem - private key

Step 1. Import the certificate authority (server) certificate into a Java keystore (JDK is required to use keytool).

keytool -import -file server-ca.pem -keystore truststore -storepass {password}

Step 2. Create a PKCS12 file from an existing signed client certificate and its private key with openssl.

penssl pkcs12 -export -in client-cert.pem -inkey client-key.pem -out client.p12 -CAfile server-ca.pem -password pass:{password}

Step 3. Import the combined certificate and private key into the keystore.

keytool -importkeystore -deststorepass {password} -destkeystore keystore -srckeystore client.p12 -srcstoretype PKCS12 -srcstorepass {password}

Once you have the truststore and keystore files you can upload them into the Server Storage.

it is recommended to create a folder under the Server Storage, for example mysql-certificates, and upload files into this folder.

Once files have been uploaded you can modify the JDBC URL for the MySQL connection as below:

jdbc:mysql://host:3306/database?useSSL=true&requireSSL=true&verifyServerCertificate=true&clientCertificateKeyStorePassword=password&clientCertificateKeyStoreType=JKS&clientCertificateKeyStoreUrl=file://{app.data}mysql-certificates/keystore.jks&trustCertificateKeyStorePassword=password&trustCertificateKeyStoreType=JKS&trustCertificateKeyStoreUrl=file://{app.data}mysql-certificates/truststore.jks

host, port, database name, names of the trustsore and keystore files, the password, as well as the name of the folder with the certificates must be replaced on actual.

Connecting to Informix

To create a connection to an Informix database, open the Connections window, click the + button, and type in informix. Select one of the available Informix connection types.

Enter the connection parameters.

If Informix is using the DB2 driver, the connection type is selected and the following properties are available for an Informix connection's URL.

Otherwise, the following link details the URL properties that are available.

Connecting to Sybase ASE

To create a connection to a Sybase ASE database, open the Connections window, click the + button, and type in sybase. Select Sybase ASE.

Enter the connection parameters.

The following link details the properties that are available for a Sybase ASE connection's URL.

Connecting to Snowflake

To create a connection to a Snowflake database, open the Connections window, click the + button, and type in snowflake. Select Snowflake.

Enter the connection parameters.

The following link details the properties that are available for a Snowflake connection's URL.

Read how to work with Snowflake in Etlworks Integrator.

Connecting to Amazon RDS

Amazon RDS is a fully-managed database service. The following RDS connectors are available in Etlworks Integrator:

• Amazon Aurora
• PostgreSQL
• MySQL
• Oracle
• Microsoft SQL Server

Connecting to Amazon Aurora PostgreSQL

Amazon Aurora PostgreSQL is essentially a fully-managed PostgreSQL cluster that is available on AWS. Use the following guidelines to configure an Aurora PostgreSQL cluster.

To create a connection to an Amazon Aurora PostgreSQL database, open the Connections window, click the + button, and type in aurora. Select Amazon Aurora PostgreSQL.

Enter the connection parameters.

The following link details the properties that are available for an Amazon Aurora PostgreSQL connection's URL.

Connecting to Amazon Aurora MySQL

Amazon Aurora MySQL is essentially a fully-managed MySQL cluster that is available on AWS. Use the following guidelines to configure an Aurora MySQL cluster.

To create a connection to an Amazon Aurora MySQL database, open the Connections window, click the + button, and type in aurora. Select Amazon Aurora MySQL.

Enter the connection parameters.

The following link details the properties that are available for an Amazon Aurora MySQL connection's URL.

Connecting to Amazon Redshift

Amazon Redshift is a fully-managed data warehouse that is available on AWS.

To create a connection to an Amazon Redshift database, open the Connections window, click the + button, and type in redhsift. Select Amazon Redshift.

Enter the connection parameters.

The following link details the properties that are available for an Amazon Redshift connection's URL.

Read how to work with Amazon Redshift in Etlworks Integrator.

Connecting to Microsoft Access

To create a connection to a Teradata database, open the Connections window, click the + button, and type in teradata. Select Microsoft Access.

Enter the connection parameters.

The following link details the properties that are available for a Microsoft Access connection's URL.

Connecting to Teradata

To create a connection to a Teradata database, open the Connections window, click the + button, and type in teradata. Select Teradata.

Enter the connection parameters.

The following link details the properties that are available for a Teradata connection's URL.

Connecting to Apache Hive

The Apache Hive ™ data warehouse software facilitates reading, writing, and managing large datasets residing in distributed storage using SQL. A JDBC driver is provided to connect users to Hive.

Enter the connection parameters.

The following link details the properties that are available for an Apache Hive connection's URL.

Connecting to Google BigQuery

Google BigQuery is not a typical relational database (it is actually a service), but Google has partnered with third-party companies to provide a JDBC driver that leverages the power of BigQuery's Standard SQL.

To create a connection to Google BigQuery, open the Connections window, click the + button, and type in bigquery. Select Google BigQuery.

Enter the connection parameters.

The following link details the properties that are available for a Google BigQuery connection's URL.

At this time a Google service account is required to connect to BigQuery.

This guide explains how to create a new Google service account.

When creating a new service account, two parameters are important:

• A Google service account email

• The secret key associated with the account. The key can be downloaded in the JSON or P12 format.

Use the following URL to connect to BigQuery using a Google service account.

jdbc:bigquery://https://www.googleapis.com/bigquery/v2:443;ProjectId=<Project>;OAuthType=0;
OAuthServiceAcctEmail={user};OAuthPvtKeyPath={password}

Enter a Google service account email into the User field.

Upload the key, which is in the JSON or P12 format, into server storage.

Enter the path to the key file into the Password field. Use the token {app.data} to define the path to the key. For example: {app.data}/key.json.

Connecting to Derby

Derby (Java DB) is a compact and embeddable database implemented entirely in Java and available under the Apache License, Version 2.0.

To create a connection to a Derby database, open the Connections window, click the + button, and type in derby. Select Client Java DB (Derby).

Enter the connection parameters.

The following link details the properties that are available for a Derby connection's URL.

Connecting to SQLite

SQLite is available in Etlworks Integrator as a temporary staging database.

In a dedicated instance, it is also possible to create a connection to the actual, not temporary (in memory), SQLite database.

Step 1. Open the Connections window, click the + button, and type in jdbc. Select Generic JDBC.

Step 2. Enter org.sqlite.JDBC into the Driver field.

Step 3. Enter the connection URL as described here.

Step 4. If needed, enter a user name and password.

Testing a database connection

Click the Test Connection button on the connection screen, to test the database connection.

Connecting to a database if it is not on the list

if your database is not on the list of supported databases, you can still connect to it:

Step 1 Contact Etlworks Support, so we can add a JDBC driver for your database. Or, if you are running Integrator on your own premises, simply drop the JDBC driver into the application server lib folder and restart the server.

Step 2 Select the Generic JDBC connection type.

Step 3 Specify the connection parameters.