snleee commented on a change in pull request #6531:
URL: https://github.com/apache/incubator-pinot/pull/6531#discussion_r572273541
##########
File path:
pinot-plugins/pinot-file-system/pinot-adls/src/main/java/org/apache/pinot/plugin/filesystem/ADLSGen2PinotFS.java
##########
@@ -106,24 +118,75 @@ public void init(PinotConfiguration config) {
// TODO: consider to add the encryption of the following config
String accessKey = config.getProperty(ACCESS_KEY);
String fileSystemName = config.getProperty(FILE_SYSTEM_NAME);
+ String clientId = config.getProperty(CLIENT_ID);
+ String clientSecret = config.getProperty(CLIENT_SECRET);
+ String tenantId = config.getProperty(TENANT_ID);
String dfsServiceEndpointUrl = HTTPS_URL_PREFIX + accountName +
AZURE_STORAGE_DNS_SUFFIX;
String blobServiceEndpointUrl = HTTPS_URL_PREFIX + accountName +
AZURE_BLOB_DNS_SUFFIX;
- StorageSharedKeyCredential sharedKeyCredential = new
StorageSharedKeyCredential(accountName, accessKey);
+ DataLakeServiceClientBuilder dataLakeServiceClientBuilder = new
DataLakeServiceClientBuilder().endpoint(dfsServiceEndpointUrl);
+ BlobServiceClientBuilder blobServiceClientBuilder = new
BlobServiceClientBuilder().endpoint(blobServiceEndpointUrl);
+
+ if (accountName!= null && accessKey != null) {
+ LOGGER.info("Authenticating using the access key to the account.");
+ StorageSharedKeyCredential sharedKeyCredential = new
StorageSharedKeyCredential(accountName, accessKey);
+ dataLakeServiceClientBuilder.credential(sharedKeyCredential);
+ blobServiceClientBuilder.credential(sharedKeyCredential);
+ } else if (clientId != null && clientSecret != null && tenantId != null) {
+ LOGGER.info("Authenticating using Azure Active Directory");
+ ClientSecretCredential clientSecretCredential = new
ClientSecretCredentialBuilder()
+ .clientId(clientId)
+ .clientSecret(clientSecret)
+ .tenantId(tenantId)
+ .build();
+ dataLakeServiceClientBuilder.credential(clientSecretCredential);
+ blobServiceClientBuilder.credential(clientSecretCredential);
+ } else {
+ // Error out as at least one mode of auth info needed
+ throw new IllegalArgumentException("Expecting either (accountName,
accessKey) or (clientId, clientSecret, tenantId)");
+ }
- DataLakeServiceClient serviceClient = new
DataLakeServiceClientBuilder().credential(sharedKeyCredential)
- .endpoint(dfsServiceEndpointUrl)
- .buildClient();
+ _blobServiceClient = blobServiceClientBuilder.buildClient();
+ DataLakeServiceClient serviceClient =
dataLakeServiceClientBuilder.buildClient();
+ _fileSystemClient = getOrCreateClientWithFileSystem(serviceClient,
fileSystemName);
- _blobServiceClient =
- new
BlobServiceClientBuilder().credential(sharedKeyCredential).endpoint(blobServiceEndpointUrl).buildClient();
- _fileSystemClient = serviceClient.getFileSystemClient(fileSystemName);
LOGGER.info("ADLSGen2PinotFS is initialized (accountName={},
fileSystemName={}, dfsServiceEndpointUrl={}, "
+ "blobServiceEndpointUrl={}, enableChecksum={})", accountName,
fileSystemName, dfsServiceEndpointUrl,
blobServiceEndpointUrl, _enableChecksum);
}
+ /**
+ * Returns the DataLakeFileSystemClient to the specified file system
creating if it doesn't exist.
+ *
+ * @param serviceClient authenticated data lake service client to an account
+ * @param fileSystemName name of the file system (blob container)
+ * @return DataLakeFileSystemClient with the specified fileSystemName.
+ */
+ @VisibleForTesting
+ public DataLakeFileSystemClient
getOrCreateClientWithFileSystem(DataLakeServiceClient serviceClient,
Review comment:
I think that we should throw the exception instead of creating the file
system in Azure. We can assume that the blob container is created beforehand
because this file system may need to be configured differently depending on the
requirements of Pinot users. Also, I don't think that Pinot should handle the
life cycle of the deep storage layer and it should simply read/write data based
on the configuration.
Auto-managing containers will be handy if we need to use multiple containers
but in our case, we just need a single container with ADLS Gen2 feature
enabled. Also, please double-check with Google Cloud Storage and AWS S3
implementation. We should keep the behavior the same.
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