我已经创建了一个带有更新的 init 操作的 dataproc 集群来安装 datalab。
一切正常,除了当我从 Datalab 笔记本查询 Hive 表时,我遇到了
hc.sql(“””select * from invoices limit 10”””)
"java.lang.ClassNotFoundException: Class com.google.cloud.hadoop.fs.gcs.GoogleHadoopFileSystem not found" exception
创建集群
gcloud beta dataproc clusters create ds-cluster \
--project my-exercise-project \
--region us-west1 \
--zone us-west1-b \
--bucket dataproc-datalab \
--scopes cloud-platform \
--num-workers 2 \
--enable-component-gateway \
--initialization-actions gs://dataproc_mybucket/datalab-updated.sh,gs://dataproc-initialization-actions/connectors/connectors.sh \
--metadata 'CONDA_PACKAGES="python==3.5"' \
--metadata gcs-connector-version=1.9.11
datalab-updated.sh
-v "${DATALAB_DIR}:/content/datalab" ${VOLUME_FLAGS} datalab-pyspark; then
mkdir -p ${HOME}/datalab
gcloud source repos clone datalab-notebooks ${HOME}/datalab/notebooks
在数据实验室笔记本中
from pyspark.sql import HiveContext
hc=HiveContext(sc)
hc.sql("""show tables in default""").show()
hc.sql(“””CREATE EXTERNAL TABLE IF NOT EXISTS INVOICES
(SubmissionDate DATE, TransactionAmount DOUBLE, TransactionType STRING)
STORED AS PARQUET
LOCATION 'gs://my-exercise-project-ds-team/datasets/invoices’”””)
hc.sql(“””select * from invoices limit 10”””)
更新
spark._jsc.hadoopConfiguration().set('fs.gs.impl', 'com.google.cloud.hadoop.fs.gcs.GoogleHadoopFileSystem')
spark._jsc.hadoopConfiguration().set('fs.gs.auth.service.account.enable', 'true')
spark._jsc.hadoopConfiguration().set('google.cloud.auth.service.account.json.keyfile', "~/Downloads/my-exercise-project-f47054fc6fd8.json")
更新 2 (datalab-updated.sh)
function run_datalab(){
if docker run -d --restart always --net=host \
-v "${DATALAB_DIR}:/content/datalab" ${VOLUME_FLAGS} datalab-pyspark; then
mkdir -p ${HOME}/datalab
gcloud source repos clone datalab-notebooks ${HOME}/datalab/notebooks
echo 'Cloud Datalab Jupyter server successfully deployed.'
else
err 'Failed to run Cloud Datalab'
fi
}
最佳答案
你应该使用 Datalab initialization action在 Dataproc 集群上安装 Datalab:
gcloud dataproc clusters create ${CLUSTER} \
--image-version=1.3 \
--scopes cloud-platform \
--initialization-actions=gs://dataproc-initialization-actions/datalab/datalab.sh
此 Hive 在 Datalab 中开箱即用地使用 GCS 后:
from pyspark.sql import HiveContext
hc=HiveContext(sc)
hc.sql("""SHOW TABLES IN default""").show()
输出:
+--------+---------+-----------+
|database|tableName|isTemporary|
+--------+---------+-----------+
+--------+---------+-----------+
在 Datalab 中使用 Hive 在 GCS 上创建外部表:
hc.sql("""CREATE EXTERNAL TABLE IF NOT EXISTS INVOICES
(SubmissionDate DATE, TransactionAmount DOUBLE, TransactionType STRING)
STORED AS PARQUET
LOCATION 'gs://<BUCKET>/datasets/invoices'""")
输出:
DataFrame[]
在 Datalab 中使用 Hive 查询 GCS 表:
hc.sql("""SELECT * FROM invoices LIMIT 10""")
输出:
DataFrame[SubmissionDate: date, TransactionAmount: double, TransactionType: string]
关于hive - 在 Datalab 中查询 Hive 表时出现问题,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/55944773/