Spark Engine 2.4
Component | 2.4-dataproc-16 | 2.4-dataproc-15 | 2.4-dataproc-14 | 2.4-dataproc-13 |
---|---|---|---|---|
Apache Spark | 2.4.8 | 2.4.8 | 2.4.8 | 2.4.8 |
Hadoop Libraries | 2.10.2 | 2.10.2 | 2.10.2 | 2.10.2 |
Cloud Storage Connector | hadoop2-2.1.9 | hadoop2-2.1.9 | hadoop2-2.1.9 | hadoop2-2.1.9 |
Java | 8 | 8 | 8 | 8 |
Python | 3.7.4 | 3.7.4 | 3.7.4 | 3.7.4 |
Conda | 4.7.12 | 22.11.1 | 22.11.1 | 22.1.0 |
R | 3.6.3 | 3.6.3 | 3.6.3 | 3.6.3 |
Spark Engine 3.1
Component | 3.1-dataproc-16 | 3.1-dataproc-15 | 3.1-dataproc-14 | 3.1-dataproc-13 |
---|---|---|---|---|
Apache Spark | 3.1.3 | 3.1.3 | 3.1.3 | 3.1.3 |
Hadoop Libraries | 3.2.3 | 3.2.3 | 3.2.3 | 3.2.3 |
Cloud Storage Connector | hadoop3-2.2.13 | hadoop3-2.2.13 | hadoop3-2.2.11 | hadoop3-2.2.11 |
Java | 8 | 8 | 8 | 8 |
Python | 3.8.5 | 3.8.5 | 3.8.5 | 3.8.5 |
Conda | 4.9.2 | 23.5.0 | 4.9.2 | 4.9.2 |
R | 4.3.0 | 4.3.0 | 4.2.3 | 4.2.3 |
A fully qualified Spark engine release version is expressed as: 2.4-dataproc-[NUMBER]
or
3.1-dataproc-[NUMBER]
, for example, 2.4-dataproc-3
or 3.1-dataproc-3
.
Spark Version formats can also be expressed in alias form, as shown in the following examples:
2
- Most recent version of Spark engine with a Spark major version of 22.4
- Most recent version of Spark engine with a Spark major.minor version of 2.4.3
- Most recent version of Spark engine with a Spark major version of 3.3.1
- Most recent version of Spark engine with a Spark major.minor version of 3.1.dataproc-1.5
- Most recent version of Spark engine that broadly aligns with Dataproc on Compute Engine1.5
images.dataproc-2.0
- Most recent version of Spark engine that broadly aligns with Dataproc on Compute Engine2.0
images.latest
- Most recent version of Spark engine.