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spark jdbc - multiple connections to source?

score 593 · Answer 1 · 2025-01-04 20:06:48

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spark jdbc - multiple connections to source?

593 views Asked by satish lomte At 04 January 2025 at 20:06

score 102 · Answer 2 · 2025-01-04 20:10:06

jdbc postgres writes batch but not streaming in spark 3.2.4

102 views Asked by Ivan At 04 January 2025 at 20:10

score 82 · Answer 3 · 2025-01-04 20:12:59

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

82 views Asked by Mohamed Gamal At 04 January 2025 at 20:12

score 1022 · Answer 4 · 2025-01-04 20:13:08

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

1k views Asked by Nikunj Kakadiya At 04 January 2025 at 20:13

score 870 · Answer 5 · 2025-01-04 20:10:29

I want Spark to ignore bad records while saving into database

870 views Asked by nav At 04 January 2025 at 20:10

score 1209 · Answer 6 · 2025-01-04 20:13:28

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

1.2k views Asked by Arjun A J At 04 January 2025 at 20:13

score 170 · Answer 7 · 2025-01-04 20:10:28

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

170 views Asked by Sunny Gupta At 04 January 2025 at 20:10

score 1575 · Answer 8 · 2025-01-04 20:10:04

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

1.5k views Asked by Sunny Gupta At 04 January 2025 at 20:10

score 631 · Answer 9 · 2025-01-04 20:09:12

spark jdbc read tuning where table without primary key

631 views Asked by Ramakrishna At 04 January 2025 at 20:09

score 2018 · Answer 10 · 2025-01-04 20:13:40

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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