Deduplication¶
Function¶
Deduplication removes rows that duplicate over a set of columns, keeping only the first one or the last one.
Syntax¶
SELECT [column_list]
FROM (
SELECT [column_list],
ROW_NUMBER() OVER ([PARTITION BY col1[, col2...]]
ORDER BY time_attr [asc|desc]) AS rownum
FROM table_name)
WHERE rownum = 1
Description¶
ROW_NUMBER(): Assigns a unique, sequential number to each row, starting with one.
PARTITION BY col1[, col2...]: Specifies the partition columns, i.e. the deduplicate key.
ORDER BY time_attr [asc|desc]: Specifies the ordering column, it must be a time attribute. Currently Flink supports proctime only. Ordering by ASC means keeping the first row, ordering by DESC means keeping the last row.
WHERE rownum = 1: The rownum = 1 is required for Flink to recognize this query is deduplication.
Precautions¶
None
Example¶
The following examples show how to remove duplicate rows on order_id. The proctime is an event time attribute.
SELECT order_id, user, product, number
FROM (
SELECT *,
ROW_NUMBER() OVER (PARTITION BY order_id ORDER BY proctime ASC) as row_num
FROM Orders)
WHERE row_num = 1;