You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@nifi.apache.org by MikeThomsen <gi...@git.apache.org> on 2018/05/04 16:00:01 UTC
[GitHub] nifi pull request #2666: NIFI-5130 ExecuteInfluxDBQuery processor chunking s...
Github user MikeThomsen commented on a diff in the pull request:
https://github.com/apache/nifi/pull/2666#discussion_r186124698
--- Diff: nifi-nar-bundles/nifi-influxdb-bundle/nifi-influxdb-processors/src/main/java/org/apache/nifi/processors/influxdb/ExecuteInfluxDBQuery.java ---
@@ -86,6 +93,18 @@
.expressionLanguageSupported(ExpressionLanguageScope.FLOWFILE_ATTRIBUTES)
.build();
+ public static final PropertyDescriptor INFLUX_DB_QUERY_CHUNK_SIZE = new PropertyDescriptor.Builder()
+ .name("influxdb-query-chunk-size")
+ .displayName("Results chunk size")
+ .description("Chunking can be used to return results in a stream of smaller batches "
+ + "(each has a partial results up to a chunk size) rather than as a single response. "
+ + "Chunking queries can return an unlimited number of rows. Note: Chunking is enable when result chunk size is greater than 0")
+ .defaultValue(String.valueOf(DEFAULT_INFLUX_RESPONSE_CHUNK_SIZE))
+ .expressionLanguageSupported(ExpressionLanguageScope.FLOWFILE_ATTRIBUTES)
+ .addValidator(StandardValidators.createLongValidator(0, Integer.MAX_VALUE, true))
--- End diff --
If the default query result limit is 10k, what is the likelihood that there is a good reason for this to be above 10k? Even if we go beyond that for chunks, Integer.MAX_VALUE is way past a sane limit.
---