Comments (1)
That's true but one important aim of the Hadoop integration is to have no dependencies when running within Hadoop. This means relying on the Hadoop dependencies, not on ES, which in this case, means using Jackson 1.8.8, among other libraries.
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Related Issues (20)
- hello, is async http support? HOT 1
- Nested objects fail parsing in Spark SQL when empty objects present
- Latency Spike during Spark Structured Streaming HOT 2
- Upgrade to Spark 3.4.x HOT 3
- Policy about type name in index name is too harsh HOT 3
- Unable to build the newly cloned project due to invalid dependency paths
- Spark dependency is not compatible resulting in compile error HOT 1
- 7.17.11 failed backwards compatibility for 5.5.3 HOT 4
- [Bug][CVE-2019-10172] found CVE in the latest release 8.12.2 and 8.9.1 HOT 1
- Es.write.operation documentation is deceptive on default values when used via spark HOT 1
- spark read long datatype error HOT 3
- ES-hadoop is not compatible with spark 3.5.1 HOT 7
- Stop using deprecated "stored" field in scripts for updates
- Automatic index creation fails with Elasticsearch >= 8.6.0 HOT 6
- Option es.read.field.*.include unable to take field names containing a colon
- Unable to index with elasticsearch-spark on serverless elasticsearch HOT 1
- What's the status on Elasticsearch 8.13 support? HOT 3
- Add support for creating suggester fields with weights
- Does Elasticsearch-Hadoop support HTTPS proxy connections ?
- Option 'es.read.field.include' with Spark SQL fails to pushdown field or _source filtering
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