Delta Lake with Microsoft Azure Blob Storage#

Registration And Configuration#

Register An Account And Log In#

Regarding the Microsoft Azure account, please contact your organization or register an account as an individual. For details, please refer to the Microsoft Azure official website.

Create Storage Container#

After logging in with your Microsoft Azure account, please follow the steps below to create a data storage container:

../../_images/azure_create_new_container.png

Get Access Key#

../../_images/azure_create_azure_access_key.png

Deploy Spark#

Download Spark Package#

Download spark package that matches your environment from spark official website. And then unpackage: `shell tar -xzvf spark-3.2.0-bin-hadoop3.2.tgz `

Config Spark#

Enter the $SPARK_HOME/conf directory and execute:

cp spark-defaults.conf.template spark-defaults.conf

Add following configuration to spark-defaults.conf, please refer to your own local configuration for specific personalized configuration:

spark.master                     spark://<YOUR_HOST>:7077
spark.sql.extensions             io.delta.sql.DeltaSparkSessionExtension
spark.sql.catalog.spark_catalog  org.apache.spark.sql.delta.catalog.DeltaCatalog

Create a new file named core-site.xml under $SPARK_HOME/conf directory, and add following configuration:

<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<configuration>
<property>
    <name>fs.AbstractFileSystem.wasb.Impl</name>
    <value>org.apache.hadoop.fs.azure.Wasb</value>
 </property>
 <property>
  <name>fs.azure.account.key.YOUR_AZURE_ACCOUNT.blob.core.windows.net</name>
  <value>YOUR_AZURE_ACCOUNT_ACCESS_KEY</value>
 </property>
 <property>
    <name>fs.azure.block.blob.with.compaction.dir</name>
    <value>/hbase/WALs,/tmp/myblobfiles</value>
 </property>
 <property>
    <name>fs.azure</name>
    <value>org.apache.hadoop.fs.azure.NativeAzureFileSystem</value>
 </property>
<property>
    <name>fs.azure.enable.append.support</name>
    <value>true</value>
 </property>
</configuration>

Copy Dependencies To Spark#

Copy jar packages required by delta lake and microsoft azure to ./spark/jars directory:

wget https://repo1.maven.org/maven2/io/delta/delta-core_2.12/1.0.0/delta-core_2.12-1.0.0.jar -O ./spark/jars/delta-core_2.12-1.0.0.jar
wget https://repo1.maven.org/maven2/com/microsoft/azure/azure-storage/8.6.6/azure-storage-8.6.6.jar -O ./spark/jars/azure-storage-8.6.6.jar
wget https://repo1.maven.org/maven2/com/azure/azure-storage-blob/12.14.2/azure-storage-blob-12.14.2.jar -O ./spark/jars/azure-storage-blob-12.14.2.jar
wget https://repo1.maven.org/maven2/org/apache/hadoop/hadoop-azure/3.1.1/hadoop-azure-3.1.1.jar -O ./spark/jars/hadoop-azure-3.1.1.jar

Start Spark Standalone cluster#

./spark/sbin/start-master.sh -h <YOUR_HOST> -p 7077 --webui-port 9090
./spark/sbin/start-worker.sh spark://<YOUR_HOST>:7077

Test The connectivity Of Spark And Delta Lake#

Start spark shell:

./bin/spark-shell

Generate a piece of random data and push them to delta lake:

scala> val data = spark.range(1000, 2000)
scala> data.write.format("delta").mode("overwrite").save("wasbs://<YOUR_CONTAINER_NAME>@<YOUR_AZURE_ACCOUNT>.blob.core.windows.net/<YOUR_TABLE_NAME>")

After this, you can check your data on azure web UI. For example, my container name is 1000 and table name is alexDemo20211127:

../../_images/azure_spark_connection_test_storage.png

You can also check data by reading back the data from delta lake:

scala> val df=spark.read.format("delta").load("wasbs://<YOUR_CONTAINER_NAME>@<YOUR_AZURE_ACCOUNT>.blob.core.windows.net/<YOUR_TABLE_NAME>")
scala> df.show()

If there is no problem with the above, it proves that spark has been built with delta lake.

Deploy Kyuubi#

Install Kyuubi#

1.Download the latest version of kyuubi from kyuubi download page.

2.Unpackage

tar -xzvf apache-kyuubi-1.7.0-SNAPSHOT-incubating-bin.tgz

Config Kyuubi#

Enter the ./kyuubi/conf directory

cp kyuubi-defaults.conf.template kyuubi-defaults.conf
vim kyuubi-defaults.conf

Add the following content:

Start Kyuubi#

bin/kyuubi start

Check kyuubi log, in order to check kyuubi start status and find the jdbc connection url:

2021-11-26 17:49:50.235 INFO service.ThriftFrontendService: Starting and exposing JDBC connection at: jdbc:hive2://HOST:10009/
2021-11-26 17:49:50.265 INFO client.ServiceDiscovery: Created a /kyuubi/serviceUri=host:10009;version=1.3.1-incubating;sequence=0000000037 on ZooKeeper for KyuubiServer uri: host:10009
2021-11-26 17:49:50.267 INFO server.KyuubiServer: Service[KyuubiServer] is started.

You can get the jdbc connection url by the log above.

Test The Connectivity Of Kyuubi And Delta Lake#

Use $KYUUBI_HOME/bin/beeline tool,

./bin//beeline -u 'jdbc:hive2://<YOUR_HOST>:10009/'

At the same time, you can also check whether the engine is running on the spark UI:

../../_images/kyuubi_start_status_spark_UI.png

When the engine started, it will expose a thrift endpoint and register itself into ZooKeeper, Kyuubi server can get the connection info from ZooKeeper and establish the connection to the engine. So, you can check the registration details in zookeeper path ‘/kyuubi_USER/anonymous’.

Dealing Delta Lake Data By Using Kyuubi Examples#

Operate delta-lake data through SQL:

Create Table#

Insert Data#

Append Mode#

INSERT INTO delta.`wasbs://1000@azure_account.blob.core.windows.net/alexDemo20211129` (
    date,
    eventId,
    eventType,
    data)
VALUES
    (now(),'001','test','Hello World!'),
    (now(),'002','test','Hello World!'),
    (now(),'003','test','Hello World!');

Result:

+-------------+----------+------------+---------------+
|    date     | eventId  | eventType  |     data      |
+-------------+----------+------------+---------------+
| 2021-11-29  | 001      | test       | Hello World!  |
| 2021-11-29  | 003      | test       | Hello World!  |
| 2021-11-29  | 002      | test       | Hello World!  |
+-------------+----------+------------+---------------+

Overwrite Mode#

INSERT OVERWRITE TABLE delta.`wasbs://1000@azure_account.blob.core.windows.net/alexDemo20211129`(
    date,
    eventId,
    eventType,
    data)
VALUES
(now(),'001','test','hello kyuubi'),
(now(),'002','test','hello kyuubi');

Result:

Delete Table Data#

Result:

+-------------+----------+------------+---------------+
|    date     | eventId  | eventType  |     data      |
+-------------+----------+------------+---------------+
| 2021-11-29  | 001      | test       | hello kyuubi  |
+-------------+----------+------------+---------------+

Update table data#

UPDATE
    delta.`wasbs://1000@azure_account.blob.core.windows.net/alexDemo20211129`
SET data = 'This is a test for update data.'
WHERE eventId = 001;

Result:

+-------------+----------+------------+----------------------------------+
|    date     | eventId  | eventType  |               data               |
+-------------+----------+------------+----------------------------------+
| 2021-11-29  | 001      | test       | This is a test for update data.  |
+-------------+----------+------------+----------------------------------+

Select table data#

SELECT *
FROM
    delta.`wasbs://1000@azure_account.blob.core.windows.net/alexDemo20211129`;

Result:

+-------------+----------+------------+----------------------------------+
|    date     | eventId  | eventType  |               data               |
+-------------+----------+------------+----------------------------------+
| 2021-11-29  | 001      | test       | This is a test for update data.  |
+-------------+----------+------------+----------------------------------+