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spark jdbc - multiple connections to source?

score 558 · Answer 1 · 2024-11-24 09:38:23

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spark jdbc - multiple connections to source?

558 views Asked by satish lomte At 24 November 2024 at 09:38

score 65 · Answer 2 · 2024-11-24 10:02:30

jdbc postgres writes batch but not streaming in spark 3.2.4

65 views Asked by Ivan At 24 November 2024 at 10:02

score 29 · Answer 3 · 2023-11-30 11:33:53

AWS Databricks: Table dropped when trying to overwrite with truncate flag set into Exasol

29 views Asked by Mohamed Gamal At 30 November 2023 at 11:33

score 985 · Answer 4 · 2020-11-25 15:00:51

Read Data from Postgres in parallel using spark for a table without integer primary key column

985 views Asked by Nikunj Kakadiya At 25 November 2020 at 15:00

score 833 · Answer 5 · 2024-11-24 10:09:26

I want Spark to ignore bad records while saving into database

833 views Asked by nav At 24 November 2024 at 10:09

score 1171 · Answer 6 · 2021-04-12 10:54:36

Spark JDBC read API: Determining the number of partitions dynamically for a column of type datetime

1.1k views Asked by Arjun A J At 12 April 2021 at 10:54

score 135 · Answer 7 · 2024-11-24 10:09:25

Spark JDBC - Read/update/write huge table without int/long primary key

135 views Asked by Sunny Gupta At 24 November 2024 at 10:09

score 1539 · Answer 8 · 2024-11-24 10:02:29

Spark JDBC - Read -> update -> write huge table without primary key

1.5k views Asked by Sunny Gupta At 24 November 2024 at 10:02

score 595 · Answer 9 · 2024-11-24 09:57:05

spark jdbc read tuning where table without primary key

595 views Asked by Ramakrishna At 24 November 2024 at 09:57

score 1979 · Answer 10 · 2018-09-27 05:45:06

Is there a way to define “partitionColumn” in “option(”partitionColumn“,”colname“)” in Spark-JDBC if the column is of datatype: String?

TechQA.

List Question

spark jdbc - multiple connections to source?

jdbc postgres writes batch but not streaming in spark 3.2.4

AWS Databricks: Table dropped when trying to overwrite with truncate flag set into Exasol

Read Data from Postgres in parallel using spark for a table without integer primary key column

I want Spark to ignore bad records while saving into database

Spark JDBC read API: Determining the number of partitions dynamically for a column of type datetime

Spark JDBC - Read/update/write huge table without int/long primary key

Spark JDBC - Read -> update -> write huge table without primary key

spark jdbc read tuning where table without primary key

Is there a way to define “partitionColumn” in “option(”partitionColumn“,”colname“)” in Spark-JDBC if the column is of datatype: String?

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