6/5/2023 0 Comments Timeplus connection![]() As in other part of streaming queries, users can use interval shortcuts here. We called this type of processing Last X Streaming Processing in Timeplus and Timeplus provides specialized SQL extension for easy of use: EMIT LAST. ![]() For example, show me the cpu usage per device in the last 1 hour. In streaming processing, there is one typical query which is processing last X seconds / minutes / hours of data. Every time a window is closed, Timeplus emits the aggregation results. The above example SQL continuously aggregates max cpu usage per device per hop window for table device_utils. It is guaranteed to be increased monotonically per stream query. Note watermark is an internal timestamp which is observed and calculated and emitted by Timeplus and is used to indicate when a streaming window shall close. Users can use interval shortcuts for the delay. AFTER WATERMARK AND DELAY : aggregation results will be held after watermark is observed until the specified delay reaches.This is the default behaviors when this clause is omitted. AFTER WATERMARK: aggregation results will be emitted and pushed to clients right after watermark is observed.Timeplus supports 2 emit policies for tumble window, so can be: is an interval parameter: where supports s, m, h, d, w. is a string type parameter, for example UTC. When parameter is omitted the system's default timezone will be used. When parameter is omitted from the query, the table's default event timestamp column which is _tp_time will be used. Tumble table function accepts 4 parameters: and are optional, the others are mandatory. The tumble table function will generate 2 new columns: window_start, window_end which correspond to the low and high Tumble in the above SQL spec is a table function whose core responsibility is assigning tumble window to each event inĪ streaming way. Greater or equal to the lower bound of the window, but less than the upper bound of the window. Please contact us if you want to learn the details.Tumble window in Timeplus is left closed and right open [) meaning it includes all events which have timestamps Sending data to other systems, such as Snowflake, are possible. You can choose one of the four destinations: Slack, Email, Kafka, Webhook. Run a streaming query, then click the arrow icon. Streaming insights or downsampled data can be set to another Kafka topic, or notify certain users via email or slack. Please contact us if you want to learn the details. In the meanwhile, it's possible to leverage other tools to visualize insights from Timeplus. Out of box streaming dashboards will be added to Timeplus soon. You can add the chart the your home page. Choose the time column as X-axis and choose the numeric column with an aggregation method. You can click the VISUALIZATION tab to turn a streaming query to a streaming chart with high FPS (frame-per-second). You can also follow the samples in Demo Scenario to query data. Timeplus supports powerful yet easy-to-use query syntax and functions. SQL is the most common tool for data analysts. To add some filter conditions or change other part of the query, you can either click the CANCEL QUERY button or use the + button on the top to open a new query tab. This live view will give you a good understanding of incoming data structure and sample value. More importantly, you can see the top values for each column and overall trend. The recent 10 rows of result will be shown. ![]() You can click the RUN QUERY button to run a streaming tail for the incoming data. Clicking on any of it will generate the select * from. ![]()
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