Aggregation functions

AVG

AVG(col1)

Returns the average value for col1.

See AVG in action

• Build a dynamic pricing strategy

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COLLECT_LIST

COLLECT_LIST(col1) => ARRAY

Returns an array containing all the values of col1 from each input row (for the specified grouping and time window, if any).

The size of the result ARRAY can be limited to a maximum of ksql.functions.collect_list.limit entries, and any values beyond this limit are ignored silently.

When used with SESSION window, sometimes two session windows are merged together into one, when a out-of-order record with a timestamp between the two windows is processed. In this case, the record limit is calculated by first considering all the records from the first window, then the out-of-order record, then the records from the second window in the order they were originally processed.

See COLLECT_LIST in action

• Automate instant payment verifications

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COLLECT_SET

COLLECT_SET(col1) => ARRAY

Returns an array containing the distinct values of col1 from each input row (for the specified grouping and time window, if any).

The size of the result ARRAY can be limited to a maximum of ksql.functions.collect_set.limit entries, and any values beyond this limit are ignored silently.

When used with a SESSION window, sometimes two session windows are merged together into one, when a out-of-order record with a timestamp between the two windows is processed. In this case, the record limit is calculated by first considering all the records from the first window, then the out-of-order record, then the records from the second window in the order they were originally processed.

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COUNT

COUNT(col1)
COUNT(*)

Counts the number of rows.

When col1 is specified, the count returned is the number of rows where col1 is non-null.

When * is specified, the count returned is the total number of rows.

See COUNT in action

• Build Customer Loyalty Programs
• Understand user behavior with clickstream data

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COUNT_DISTINCT

COUNT_DISTINCT(col1)

Returns the approximate number of unique values of col1 in a group.

The function implementation uses HyperLogLog to estimate cardinalities of 10^9 with a typical standard error of 2 percent.

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EARLIEST_BY_OFFSET

EARLIEST_BY_OFFSET(col1, [ignoreNulls])

Return the earliest value for the specified column.

The earliest value in the partition has the lowest offset.

The optional ignoreNulls parameter, available since version 0.13.0, controls whether NULL values are ignored. The default is to ignore NULL values.

EARLIEST_BY_OFFSET(col1, earliestN, [ignoreNulls])

Returns the earliest N values for the specified column as an ARRAY.

The earliest values in the partition have the lowest offsets.

The optional ignoreNulls parameter, available since version 0.13.0, controls whether NULL values are ignored. The default is to ignore NULL values.

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HISTOGRAM

HISTOGRAM(col1)

Returns a map containing the distinct string values of col1 mapped to the number of times each one occurs for the given window.

The HISTOGRAM function limits the number of distinct values which can be counted to 1000, beyond which any additional entries are ignored.

When used with a SESSION window, sometimes two session windows are merged together into one, when a out-of-order record with a timestamp between the two windows is processed. In this case, the 1000-record limit is calculated by first considering all the records from the first window, then the out-of-order record, then the records from the second window in the order they were originally processed.

See HISTOGRAM in action

• Automate instant payment verifications

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LATEST_BY_OFFSET

LATEST_BY_OFFSET(col1, [ignoreNulls])

Returns the latest value for the specified column.

The latest value in the partition has the largest offset.

The optional ignoreNulls parameter, available since version 0.13.0, controls whether NULL values are ignored. The default is to ignore NULL values.

LATEST_BY_OFFSET(col1, latestN, [ignoreNulls])

Returns the latest N values for the specified column as an ARRAY.

The latest values have the largest offset.

The optional ignoreNulls parameter, available since version 0.13.0, controls whether NULL values are ignored. The default is to ignore NULL values.

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MAX

MAX(col1)

Returns the maximum value for a given column and window.

Rows that have col1 set to NULL are ignored.

See MAX in action

• Build a dynamic pricing strategy
• Detect Unusual Credit Card Activity

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MIN

MIN(col1)

Returns the minimum value for a given column and window.

Rows that have col1 set to NULL are ignored.

See MIN in action

• Build a dynamic pricing strategy

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STDDEV_SAMP

STDDEV_SAMP(col1)

!!! Note: This function returns the square of the standard deviation instead of

the standard deviation. Use the STDDEV_SAMPLE function to compute the standard deviation.

Returns the sample standard deviation for the column.

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STDDEV_SAMPLE

STDDEV_SAMP(col1)

Returns the sample standard deviation for the column.

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SUM

SUM(col1)

Sums the column values.

Rows that have col1 set to NULL are ignored.

See SUM in action

• Detect Unusual Credit Card Activity
• Build Customer Loyalty Programs

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TOPK

TOPK(col1, k)

Returns the Top K values for the given column and window.

Rows that have col1 set to NULL are ignored.

SELECT orderzip_code, TOPK(order_total, 5) 
  FROM orders WINDOW TUMBLING (SIZE 1 HOUR)
  GROUP BY order_zipcode
  EMIT CHANGES;

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TOPKDISTINCT

TOPKDISTINCT(col1, k)

Returns the distinct Top K values for the given column and window.

Rows that have col1 set to NULL are ignored.

SELECT pageid, TOPKDISTINCT(viewtime, 5)
  FROM pageviews_users
  GROUP BY pageid
  EMIT CHANGES;

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Last update: 2022-05-17