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fix: Handle complex Spark data types in SparkSource #3154
fix: Handle complex Spark data types in SparkSource #3154
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Signed-off-by: Petra Rebernjak <petra@noom.com>
/ok-to-test |
Codecov ReportBase: 67.11% // Head: 76.13% // Increases project coverage by
Additional details and impacted files@@ Coverage Diff @@
## master #3154 +/- ##
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+ Coverage 67.11% 76.13% +9.01%
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Files 175 211 +36
Lines 15907 17858 +1951
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+ Hits 10676 13596 +2920
+ Misses 5231 4262 -969
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/assign woop |
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/lgtm
[APPROVALNOTIFIER] This PR is APPROVED This pull-request has been approved by: achals, rebstastic The full list of commands accepted by this bot can be found here. The pull request process is described here
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* Make sure data types are strings Signed-off-by: Petra Rebernjak <petra@noom.com> * Lint Signed-off-by: Petra Rebernjak <petra@noom.com> Signed-off-by: Petra Rebernjak <petra@noom.com>
## [0.24.1](v0.24.0...v0.24.1) (2022-09-08) ### Bug Fixes * Fix push API to respect feature view's already inferred entity types ([#3172](#3172)) ([5dba4a3](5dba4a3)) * Fix release workflow ([#3144](#3144)) ([c77a655](c77a655)) * Fix Shopify timestamp bug and add warnings to help with debugging entity registration ([#3191](#3191)) ([95066ea](95066ea)) * Handle complex Spark data types in SparkSource ([#3154](#3154)) ([0e13573](0e13573))
# [0.25.0](v0.24.0...v0.25.0) (2022-09-20) ### Bug Fixes * Broken Feature Service Link ([#3227](#3227)) ([e117082](e117082)) * Feature-server image is missing mysql dependency for mysql registry ([#3223](#3223)) ([ae37b20](ae37b20)) * Fix handling of TTL in Go server ([#3232](#3232)) ([f020630](f020630)) * Fix materialization when running on Spark cluster. ([#3166](#3166)) ([175fd25](175fd25)) * Fix push API to respect feature view's already inferred entity types ([#3172](#3172)) ([7c50ab5](7c50ab5)) * Fix release workflow ([#3144](#3144)) ([20a9dd9](20a9dd9)) * Fix Shopify timestamp bug and add warnings to help with debugging entity registration ([#3191](#3191)) ([de75971](de75971)) * Handle complex Spark data types in SparkSource ([#3154](#3154)) ([5ddb83b](5ddb83b)) * Local staging location provision ([#3195](#3195)) ([cdf0faf](cdf0faf)) * Remove bad snowflake offline store method ([#3204](#3204)) ([dfdd0ca](dfdd0ca)) * Remove opening file object when validating S3 parquet source ([#3217](#3217)) ([a906018](a906018)) * Snowflake config file search error ([#3193](#3193)) ([189afb9](189afb9)) * Update Snowflake Online docs ([#3206](#3206)) ([7bc1dff](7bc1dff)) ### Features * Add `to_remote_storage` functionality to `SparkOfflineStore` ([#3175](#3175)) ([2107ce2](2107ce2)) * Add ability to give boto extra args for registry config ([#3219](#3219)) ([fbc6a2c](fbc6a2c)) * Add health endpoint to py server ([#3202](#3202)) ([43222f2](43222f2)) * Add snowflake support for date & number with scale ([#3148](#3148)) ([50e8755](50e8755)) * Add tag kwarg to set Snowflake online store table path ([#3176](#3176)) ([39aeea3](39aeea3)) * Add workgroup to athena offline store config ([#3139](#3139)) ([a752211](a752211)) * Implement spark materialization engine ([#3184](#3184)) ([a59c33a](a59c33a))
What this PR does / why we need it:
get_table_column_names_and_types
ofSparkSource
returns non-string data type for complex Spark types.For example, if a feature view contains a feature of type
ArrayType(DoubleType(), False)
, current implementation would return a dictionary such asWith this fix, the returning data type would be
array<double>
.This PR ensures that all Spark types are serialized as strings.
Which issue(s) this PR fixes:
Fixes #