Striim 3.9.4 / 3.9.5 documentation

Continuous query (CQ)

Most of an application’s logic is specified by continuous queries. Striim queries are in most respects similar to SQL, except that they are continually running and act on real-time data instead of relational tables.

Queries may be used to filter, aggregate, join, enrich, and transform events. A query may have multiple input streams to combine data from multiple sources, windows, caches, and/or WActionStores.

Some example queries illustrating common use cases:

Filtering events

The GetErrors query, from the MultiLogApp sample application, filters the log file data in Log4ErrorWarningStream to pass only error messages to ErrorStream:

CREATE CQ GetErrors 
INSERT INTO ErrorStream 
SELECT log4j 
FROM Log4ErrorWarningStream log4j WHERE log4j.level = 'ERROR';

Warning messages are discarded.

Filtering fields

The TrackCompanyApiDetail query, also from the MultiLogApp sample application, inserts a subset of the fields in a stream into a WActionStore:

CREATE CQ TrackCompanyApiDetail
INSERT INTO CompanyApiActivity(company,companyZip,companyLat,companyLong,state,ts)
SELECT company,companyZip,companyLat,companyLong,state,ts
FROM CompanyApiUsageStream;

Values for the fields not inserted by TrackCompanyApiDetail are picked up from the most recent insertion by TrackCompanyApiSummary with the same company value.

Alerting
CREATE CQ SendErrorAlerts 
INSERT INTO ErrorAlertStream 
SELECT 'ErrorAlert', ''+logTime, 'error', 'raise', 'Error in log ' + message 
FROM ErrorStream;

The SendErrorAlerts query, from the MultiLogApp sample application, sends an alert whenever an error message appears in ErrorStream.

Aggregation

This portion of the GenerateMerchantTxRateOnly query, from the PosApp sample application, aggregates the data from the incoming PosData5Minutes stream and outputs one event per merchant per five-minute batch of transactions to MerchantTxRateOnlyStream:

CREATE CQ GenerateMerchantTxRateOnly
INSERT INTO MerchantTxRateOnlyStream
SELECT p.merchantId,
       FIRST(p.zip),
       FIRST(p.dateTime),
       COUNT(p.merchantId),
       SUM(p.amount) ...
FROM PosData5Minutes p ...
GROUP BY p.merchantId;

Each output event includes the zip code and timestamp of the first transaction, the total number of transactions in the batch, and the total amount of those transactions.

Enrichment

The GetUserDetails query, from the MultiLogApp sample application, enhances the event log message events in InfoStream by joining the corresponding user and company names and zip codes from the MLogUserLookup cache:

CREATE CQ GetUserDetails 
INSERT INTO ApiEnrichedStream 
SELECT a.userId, a.api, a.sobject, a.logTime, u.userName, u.company, u.userZip, u.companyZip 
FROM InfoStream a, MLogUserLookup u 
WHERE a.userId = u.userId;

A subsequent query further enhances the data with latitude and longitude values corresponding to the zip codes, and uses the result to populate maps on the dashboard.

Handling nulls

The following will return values from the stream when there is no match for the join in the cache:

SELECT ...
FROM stream S
LEFT OUTER JOIN cache C
ON S.joinkey=C.joinkey WHERE C.joinkey IS NULL