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Hi, I heard concurrent write to snowflake using same jdbc connection is threadsafe, as it ought to be however, I encountered the following issue:
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Hi, so I just ran into an issue where k records from across n Spark dataframes are written as k+y where y is non-deterministic, using concurrent write using same SF jdbc connection (drivers: spark-snowflake_2.11-2.5.2-spark_2.4.jar, snowflake-jdbc-3.9.1.jar).
The text was updated successfully, but these errors were encountered:
github-actionsbot
changed the title
Concurrent write to Snowflake not threadsafe
SNOW-264052: Concurrent write to Snowflake not threadsafe
Jan 15, 2021
vaibhavsingh007
changed the title
SNOW-264052: Concurrent write to Snowflake not threadsafe
SNOW-264052: Data inconsistency when writing to Snowflake using multithreading
Jan 21, 2021
Hi, I heard concurrent write to snowflake using same jdbc connection is threadsafe, as it ought to be however, I encountered the following issue:
"
Hi, so I just ran into an issue where k records from across n Spark dataframes are written as k+y where y is non-deterministic, using concurrent write using same SF jdbc connection (drivers: spark-snowflake_2.11-2.5.2-spark_2.4.jar, snowflake-jdbc-3.9.1.jar).
write config:
How can I synchronize this to achieve data integrity?
"
ref: #3 (comment)
The text was updated successfully, but these errors were encountered: