<plugin> <groupId>com.google.cloud.tools</groupId> <artifactId>jib-maven-plugin</artifactId> <version>0.9.0</version> <configuration> <to> <image>gcr.io/my-project/image-built-with-jib</image> </to> </configuration> </plugin>
# Builds to a container image registry. $ mvn compile jib:build # Builds to a Docker daemon. $ mvn compile jib:dockerBuild
plugins { id 'com.google.cloud.tools.jib' version '0.9.0' } jib.to.image = 'gcr.io/my-project/image-built-with-jib'
# Builds to a container image registry. $ gradle jib # Builds to a Docker daemon. $ gradle jibDockerBuild
"SADA Systems provides expert cloud consultation and technical services, helping customers get the most out of their Google Cloud investment. We found Transfer Appliance helps us transition the customer to the cloud faster and more efficiently by providing a secure data transfer strategy." -Simon Margolis, Director of Cloud Platform, SADA Systems
“We needed a way to simplify the manual and complex process of copying, transporting and mailing hard drives of research data, as well as making it available to the scientific community as quickly as possible. We are able to mount the Transfer Appliance onboard to store the large amounts of data that result from our research expeditions and easily transfer it to Google Cloud Storage post-cruise. Once the data is in Google Cloud Storage, it’s easy to disseminate research data quickly to the community.” -Allison Miller, Research Program Manager, Schmidt Ocean Institute
“DJs, music producers and fans all rely on Beatport as the home for the world’s electronic music. By moving our library to Google Cloud Storage, we can access our audio data with the advanced tools that Google Cloud Platform has to offer. Managing tens of millions of lossless quality files poses unique challenges. Migrating to the highly performant Cloud Storage puts our wealth of audio data instantly at the fingertips of our technology team. Transfer Appliance made that move easier for our team.” -Jonathan Steffen, CIO, beatport
“Working with Transfer Appliance was a smooth experience. Rack, capture and ship. And now that our creative library is in Google Cloud Storage, it's much easier to think about ways to more efficiently manage the data throughout its life-cycle.” -Joe Mitchell, Director of Information Systems
“My hands are already full building deep learning models on massive, disparate data without also needing to worry about physically moving data around. Transfer Appliance was easy to understand, easy to install, and made it easy to capture and transfer data. It just did what it was supposed to do and saved me time which, for a busy startup, is the most valuable asset.” -Chris Grainger, Founder & CTO, amplified ai
“We needed to liberate. To flex on demand and scale in the cloud, and unleash our creativity. Transfer Appliance was a catalyst for that. In addition to migrating an amount of data that would not have been possible over the network, this transfer gave us the opportunity to improve our storage in the process—to clean out the clutter.” -Dave Wright, CTO, Airbus Defense and Space Geo Inc.
“With a huge archive of collegiate sports moments, we wanted to get that content into the cloud and do it in a way that provides value to the business. I was looking for a solution that would cost-effectively, simply and safely execute the transfer and let our teams focus on improving the experience for our users. Transfer Appliance made it simple to capture data in our data center and ship it to Google Cloud. ” -Jody Smith, Technology Lead, NCSA
CREATE TABLE Sequences ( Sequence_ID STRING(MAX) NOT NULL, -- The name of the sequence Next_Value INT64 NOT NULL ) PRIMARY KEY (Sequence_ID)
CREATE TABLE Table1 ( Hashed_Id INT64 NOT NULL, ID INT64 NOT NULL, -- other columns with data values follow.... ) PRIMARY KEY (Hashed_Id, Id)
SELECT * FROM Table1 WHERE t1.Hashed_Id = 0xDEADBEEF AND t1.Id = 1234
CREATE TABLE Table2 ( Id String(MAX), -- UUID Table1_Hashed_Id INT64 NOT NULL, Table1_Id INT64 NOT NULL, -- other columns with data values follow.... ) PRIMARY KEY (Id) SELECT * from Table2 t2 INNER JOIN Table1 t1 ON t1.Hashed_Id = t2.Table1_Hashed_Id AND t1.Id = t2.Table1_Id WHERE ... -- some criteria
CREATE TABLE Transactions ( account_number INT64 NOT NULL, timestamp TIMESTAMP NOT NULL, transaction_info ..., ) PRIMARY KEY (account_number, timestamp DESC)
TimestampShardId = CRC32(Timestamp) % 100
CREATE TABLE Events ( TimestampShardId INT64 NOT NULL Timestamp TIMESTAMP NOT NULL, event_info... ) PRIMARY KEY (TimestampShardId, Timestamp DESC)
Select * from Events WHERE TimestampShardId BETWEEN 0 AND 99 AND Timestamp > @lower_bound AND Timestamp < @upper_bound;
CREATE TABLE Events ( UserId String(MAX), Timestamp TIMESTAMP, EventData) PRIMARY KEY (UserId, Timestamp DESC); CREATE INDEX EventsByTimestamp ON Events (Timestamp DESC);
CREATE TABLE Events ( UserId String(MAX), Timestamp TIMESTAMP, TimestampShardId INT64, EventData) PRIMARY KEY (UserId, Timestamp DESC); CREATE INDEX EventsByTimestamp ON Events (TimestampShardId,Timestamp);
Select * from Events@{FORCE_INDEX=EventsByTimestamp} WHERE TimestampShardId BETWEEN 0 AND 99 AND Timestamp > @lower_bound AND Timestamp < @upper_bound;
CREATE TABLE Employees ( CompanyUUID INT64, EmployeeUUID INT64, FullName STRING(MAX) ... ) PRIMARY KEY (CompanyUUID,EmployeeUUID)
CREATE INDEX EmployeesById ON Employees (EmployeeUUID) STORING (FullName);
Select * from Employees@{FORCE_INDEX=EmployeesById} Where EmployeeUUID=xxx;
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