- Recipes
- AWS Redshift to Microsoft SQL Server
Connect AWS Redshift and Microsoft SQL Server in our serverless environment
Use this template to Read rows from AWS Redshift table using them to insert rows into Microsoft SQL Server table.
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Read rows from AWS Redshift table
Used integrations:
- JavaScript
- Python
class AwsRedshiftSourceSelect {
async init() {
// TODO: Create your aws-redshift credential
// More info at https://yepcode.io/docs/integrations/aws-redshift/#credential-configuration
this.awsRedshift = yepcode.integration.awsRedshift(
"your-aws-redshift-credential-name"
);
// TODO: Customize the command to be executed
// More info at https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/clients/client-redshift-data/interfaces/executestatementcommandinput.html
const {
Id
} = await this.awsRedshift.send(
new ExecuteStatementCommand({
ClusterIdentifier: "your-cluster-identifier",
Database: "your-database-name",
DbUser: "your-database-user",
Sql: "SELECT * FROM your-table-name;",
})
);
this.statementId = Id;
await this._awaitStatementToFinish();
}
async fetch(publish, done) {
let nextToken;
// if result is returned paginated, iterate to publish entire statement result
do {
const result = await this.awsRedshift.send(
new GetStatementResultCommand({
Id: this.statementId,
NextToken: nextToken,
})
);
nextToken = result.NextToken;
for (const record of result.Records) {
// Each record come as a list of record cells
// More info at https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/clients/client-redshift-data/interfaces/getstatementresultcommandoutput.html
// TODO: Customize record columns mapping to the item that will be published
const item = {
id: record.id,
...record
};
await publish(item);
}
} while (nextToken);
done();
}
async close() {}
_awaitStatementToFinish() {
return new Promise((resolve, reject) => {
const describeStatementCommand = new DescribeStatementCommand({
Id: this.statementId,
});
// Configure interval to check statement status
const intervalId = setInterval(async () => {
const result = await this.awsRedshift.send(describeStatementCommand);
if (result.Status === "FINISHED") {
clearInterval(intervalId);
resolve();
return;
}
if (result.Status === "FAILED" || result.Status === "ABORTED") {
clearInterval(intervalId);
reject();
return;
}
}, 1000);
});
}
}
import time
class AwsRedshiftSourceSelect:
def setup(self):
# TODO: Create your Redshift credential:
# More info at https://yepcode.io/docs/integrations/aws-redshift/#credential-configuration
self.aws_redshift_client = yepcode.integration.awsRedshift(
"your-redshift-credential-name"
)
# TODO: Customize your cluster id, database name, user and sql query
response = self.aws_redshift_client.execute_statement(
ClusterIdentifier="cluster-name",
Database="db-name",
DbUser="db-user",
Sql="SELECT * FROM your-table-name"
)
self.statement_id = response.get("Id")
self._await_statement_to_finish()
def generator(self):
# See all supported params in: https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/redshift-data/client/execute_statement.html
response = self.aws_redshift_client.get_statement_result(Id=self.statement_id)
for record in response.get("Records", []):
yield record
def _await_statement_to_finish(self):
while True:
response = self.aws_redshift_client.describe_statement(
Id=self.statement_id
)
status = response["Status"]
if status == "FINISHED":
return
if status in ("FAILED", "ABORTED"):
raise Exception(f"Statement failed with status: {status}")
time.sleep(1)
def close(self):
pass
Do you need help solving this integration with YepCode?
Let's talkInsert rows into Microsoft SQL Server table
Used integrations:
- JavaScript
- Python
class MssqlTargetInsert {
async init() {
// TODO: Create your mssql credential
// More info at https://yepcode.io/docs/integrations/mssql/#credential-configuration
const mssqlConnectionPool = yepcode.integration.mssql(
"your-mssql-credential-name"
);
this.pool = await mssqlConnectionPool.connect();
}
async consume(item) {
// TODO: Customize input params and INSERT statement
await this.pool
.request()
.input("name", mssql.VarChar(50), item.name)
.input("price", mssql.Int, item.price)
.input("stock", mssql.Int, item.stock)
.query(
"INSERT INTO products(name, price, stock, created_at) VALUES(@name, @price, @stock, CURRENT_TIMESTAMP)"
);
}
async close() {
await this.pool.close();
}
}
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