applied-limits.md

Applied limits for MLRun Quality Gate

MLRun Client

1. The MLRun Client (in version >= 1.5.2) does not support OS Windows, see ML-4907. Know issues:
   • mistake in datatime conversion under python 3.9 and OS Windows, see issue and RedisNoSqlTarget - OSError: [Errno 22] Invalid argument
   • it is necessary to use Linux path (not Windows path) for some cases e.g. for CSVTarget
   • missing MLRun tests under OS Windows
   • probably others (without full tracking and addition details)

NOTE: Solution, it is necessity to use WSL2 under OS Windows

Feature Vector

1. The data read (via feature vector) accept only ONE on-line and one off-line target in FeatureSet, see Slack discussion
   • in case of e.g. more on-line targets, it is not possible to choose relevant target for FeatureVector

RedisNoSqlTarget

1. Issue with support date type
   • see combination of RedisNoSqlTarget and ParquetSource

SQLTarget

NOTE: It is in preview version, very limited with focus on MySQL only, see detail below

1. SQLTarget limits

   • missing support MORE primary keys (only ONE primary key is supported right now)
   • schema for mapping FeatureStore to Table must be defined manually (not automatically)
   • see detail mlrun/mlrun#5051

2. SqlTarget is limited to MySql, if you need to create table (SqlTarget is in Technical Preview)

   • see the detail mlrun/mlrun#5231
   • NOTE: It is possible to use work-arround, create table before the ingest

3. SqlTarget issue with save/load content mapping for SqlTarget

   • see the detail mlrun/mlrun#5238

KafkaTarget

1. It is not possible to use feature vector operations in KafkaTarget
   • but it is possible to do ingest to the KafkaTarget or consume data from KafkaSource (with triggers)
   • it means, test scenarios TS401, TS501, TS502, TS601 and TS701 for KafkaTarget was switch-off

KafkaSource

1. It is necessery to ingest sample data to featureset, before kafka ingest
   • known issue from MLRun version v1.1.0, see ML-2407

HttpSource

1. It is necessery to ingest sample data to featureset, before http ingest
   • see issue
   • it is similar such as ML-2407

CSVSource

1. CSVSource supports only default CSV setting, it means sep=',', decimal='.'. It is not possible to use e.g. na_filter=True (it is the issue for nan value or empty strings).
   • in case of different setting, it is better to use Pandas/DataFrame source (it has bigger variability)

Pipelines

1. The step DateExtractor, in case of part e.g. 'is_month_end', it generated the warning Converting input from bool to <class 'numpy.uint8'> for compatibility.

2. Relation MapValues and storey.Filter see

• Workarround: Use MapValues with parameter with_original_features=True

Ingest issues

1. Clarification of issues with relation to the source/target and setting of InferOptions. See, full detail

Others

1. Not to use the engine pandas

   • this pandas engine is useful only for test purpose (see the first info about that in change log for MLRun version 1.6.0)

2. Issue with project delete

   • see mistake in MLRun versions 1.6.0, 1.6.1, 1.6.2, 1.6.3
   • expected solution in MLRun 1.7.0

Recommendation

1. It is really tricky to use functions in Preview state
   • it makes sense to wait for full version delivery or contribute changes in Github