pyscala commented on a change in pull request #13834:
URL: https://github.com/apache/flink/pull/13834#discussion_r514885227
##########
File path:
flink-formats/flink-csv/src/main/java/org/apache/flink/formats/csv/CsvToRowDataConverters.java
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@@ -221,12 +221,22 @@ private int convertToDate(JsonNode jsonNode) {
return (int)
Date.valueOf(jsonNode.asText()).toLocalDate().toEpochDay();
}
- private int convertToTime(JsonNode jsonNode) {
+ private CsvToRowDataConverter convertToTime(TimeType timeType) {
+ final int precision = timeType.getPrecision();
// csv currently is using Time.valueOf() to parse time string
- LocalTime localTime =
Time.valueOf(jsonNode.asText()).toLocalTime();
// TODO: FLINK-17525 support millisecond and nanosecond
// get number of milliseconds of the day
- return localTime.toSecondOfDay() * 1000;
+ return jsonNode -> {
+ LocalTime localTime =
LocalTime.parse(jsonNode.asText());
+ if (precision == 3) {
+ return localTime.toNanoOfDay() / 1000_000L;
+ } else if (precision == 0) {
+ return localTime.toSecondOfDay() * 1000L;
+ } else {
+ throw new IllegalArgumentException("Csv does
not support TIME type " +
+ "with precision: " + precision + ", it
only supports precision 0 or 3.");
+ }
+ };
Review comment:
I will optimize.
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