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| <li> |
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| <a href="/docs/2.9.0/distributed-computing/distributed-computing" |
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| class='' |
| >Distributed Computing API</a> |
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| </li> |
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| <li> |
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| <a href="/docs/2.9.0/distributed-computing/cluster-groups" |
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| class='' |
| >Cluster Groups</a> |
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| </li> |
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| <li> |
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| <a href="/docs/2.9.0/distributed-computing/executor-service" |
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| class='' |
| >Executor Service</a> |
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| </li> |
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| <li> |
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| <a href="/docs/2.9.0/distributed-computing/map-reduce" |
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| class='' |
| >MapReduce API</a> |
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| </li> |
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| <li> |
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| <a href="/docs/2.9.0/distributed-computing/load-balancing" |
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| class='' |
| >Load Balancing</a> |
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| </li> |
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| <li> |
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| <a href="/docs/2.9.0/distributed-computing/fault-tolerance" |
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| class='' |
| >Fault Tolerance</a> |
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| </li> |
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| <li> |
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| <a href="/docs/2.9.0/distributed-computing/job-scheduling" |
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| class='' |
| >Job Scheduling</a> |
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| </nav> |
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| </li> |
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| <li> |
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| <a href="/docs/2.9.0/collocated-computations" class='' >Colocating Computations with Data</a> |
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| </li> |
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| <li> |
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| <button type='button' data-guide-url="" class='group-toggle collapsed '>Working with Events<img class="state-indicator" src="/assets/images/left-nav-arrow.svg"></button> |
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| <li> |
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| <a href="/docs/2.9.0/events/listening-to-events" |
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| class='' |
| >Enabling and Listenting to Events</a> |
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| </li> |
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| <li> |
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| <a href="/docs/2.9.0/events/events" |
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| class='' |
| >Events</a> |
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| </nav> |
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| </li> |
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| <li> |
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| <a href="/docs/2.9.0/near-cache" class='' >Near Caches</a> |
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| </li> |
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| <a href="/docs/2.9.0/platform-cache" class='' >.NET Platform Cache</a> |
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| <a href="/docs/2.9.0/services/services" class='' >Services</a> |
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| <button type='button' data-guide-url="" class='group-toggle collapsed '>Distributed Data Structures<img class="state-indicator" src="/assets/images/left-nav-arrow.svg"></button> |
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| <a href="/docs/2.9.0/data-structures/queue-and-set" |
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| class='' |
| >Queue and Set</a> |
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| </li> |
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| <li> |
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| <a href="/docs/2.9.0/data-structures/atomic-types" |
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| class='' |
| >Atomic Types</a> |
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| </li> |
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| <li> |
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| <a href="/docs/2.9.0/data-structures/countdownlatch" |
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| class='' |
| >CountDownLatch</a> |
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| </li> |
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| <li> |
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| <a href="/docs/2.9.0/data-structures/atomic-sequence" |
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| class='' |
| >Atomic Sequence</a> |
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| </li> |
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| <li> |
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| <a href="/docs/2.9.0/data-structures/semaphore" |
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| class='' |
| >Semaphore</a> |
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| <a href="/docs/2.9.0/machine-learning/machine-learning" |
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| class='' |
| >Machine Learning</a> |
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| </li> |
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| <li> |
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| <a href="/docs/2.9.0/machine-learning/partition-based-dataset" |
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| class='' |
| >Partition Based Dataset</a> |
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| </li> |
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| <li> |
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| <a href="/docs/2.9.0/machine-learning/updating-trained-models" |
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| class='' |
| >Updating Trained Models</a> |
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| </li> |
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| <li><a href="/docs/2.9.0//machine-learning/binary-classification/introduction" class=''>Introduction</a></li> |
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| <li><a href="/docs/2.9.0//machine-learning/binary-classification/linear-svm" class=''>Linear SVM (Support Vector Machine)</a></li> |
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| <li><a href="/docs/2.9.0//machine-learning/binary-classification/decision-trees" class=''>Decision Trees</a></li> |
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| <li><a href="/docs/2.9.0//machine-learning/binary-classification/multilayer-perceptron" class=''>Multilayer Perceptron</a></li> |
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| <li><a href="/docs/2.9.0//machine-learning/binary-classification/logistic-regression" class=''>Logistic Regression</a></li> |
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| <li><a href="/docs/2.9.0//machine-learning/binary-classification/knn-classification" class=''>k-NN Classification</a></li> |
| |
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| <li><a href="/docs/2.9.0//machine-learning/binary-classification/ann" class=''>ANN (Approximate Nearest Neighbor)</a></li> |
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| <li><a href="/docs/2.9.0//machine-learning/binary-classification/naive-bayes" class=''>Naive Bayes</a></li> |
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| <li> |
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| <li><a href="/docs/2.9.0//machine-learning/regression/introduction" class=''>Introduction</a></li> |
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| <li><a href="/docs/2.9.0//machine-learning/regression/linear-regression" class=''>Linear Regression</a></li> |
| |
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| <li><a href="/docs/2.9.0//machine-learning/regression/decision-trees-regression" class=''>Decision Trees Regression</a></li> |
| |
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| <li><a href="/docs/2.9.0//machine-learning/regression/knn-regression" class=''>k-NN Regression</a></li> |
| |
| </nav> |
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| </li> |
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| <li> |
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| class='collapsed '>Clustering<img class="state-indicator" src="/assets/images/left-nav-arrow.svg"></button> |
| <nav class="sub_pages collapsed"> |
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| <li><a href="/docs/2.9.0//machine-learning/clustering/introduction" class=''>Introduction</a></li> |
| |
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| <li><a href="/docs/2.9.0//machine-learning/clustering/k-means-clustering" class=''>K-Means Clustering</a></li> |
| |
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| <li><a href="/docs/2.9.0//machine-learning/clustering/gaussian-mixture" class=''>Gaussian mixture (GMM)</a></li> |
| |
| </nav> |
| |
| </li> |
| |
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| |
| |
| |
| <li> |
| |
| <a href="/docs/2.9.0/machine-learning/preprocessing" |
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| class='' |
| >Preprocessing</a> |
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| </li> |
| |
| |
| |
| |
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| <li> |
| |
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| |
| <button |
| type='button' |
| class='collapsed '>Model Selection<img class="state-indicator" src="/assets/images/left-nav-arrow.svg"></button> |
| <nav class="sub_pages collapsed"> |
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| <li><a href="/docs/2.9.0//machine-learning/model-selection/introduction" class=''>Introduction</a></li> |
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| <li><a href="/docs/2.9.0//machine-learning/model-selection/evaluator" class=''>Evaluator</a></li> |
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| <li><a href="/docs/2.9.0//machine-learning/model-selection/split-the-dataset-on-test-and-train-datasets" class=''>Split the dataset on test and train datasets</a></li> |
| |
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| <li><a href="/docs/2.9.0//machine-learning/model-selection/hyper-parameter-tuning" class=''>Hyper-parameter tuning</a></li> |
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| <li><a href="/docs/2.9.0//machine-learning/model-selection/pipeline-api" class=''>Pipeline API</a></li> |
| |
| </nav> |
| |
| </li> |
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| <li> |
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| <a href="/docs/2.9.0/machine-learning/multiclass-classification" |
| |
| class='' |
| >Multiclass Classification</a> |
| |
| </li> |
| |
| |
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| <li> |
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| <button |
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| class='collapsed '>Ensemble Methods<img class="state-indicator" src="/assets/images/left-nav-arrow.svg"></button> |
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| <li><a href="/docs/2.9.0//machine-learning/ensemble-methods/introduction" class=''></a></li> |
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| <li><a href="/docs/2.9.0//machine-learning/ensemble-methods/stacking" class=''>Stacking</a></li> |
| |
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| <li><a href="/docs/2.9.0//machine-learning/ensemble-methods/baggin" class=''>Bagging</a></li> |
| |
| |
| |
| <li><a href="/docs/2.9.0//machine-learning/ensemble-methods/random-forest" class=''>Random Forest</a></li> |
| |
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| <li><a href="/docs/2.9.0//machine-learning/ensemble-methods/gradient-boosting" class=''>Gradient Boosting</a></li> |
| |
| </nav> |
| |
| </li> |
| |
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| |
| |
| |
| <li> |
| |
| <a href="/docs/2.9.0/machine-learning/recommendation-systems" |
| |
| class='' |
| >Recommendation Systems</a> |
| |
| </li> |
| |
| |
| |
| |
| |
| <li> |
| |
| |
| |
| <button |
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| class='collapsed '>Importing Model<img class="state-indicator" src="/assets/images/left-nav-arrow.svg"></button> |
| <nav class="sub_pages collapsed"> |
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| <li><a href="/docs/2.9.0//machine-learning/importing-model/introduction" class=''>Introduction</a></li> |
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| <li><a href="/docs/2.9.0//machine-learning/importing-model/model-import-from-gxboost" class=''>Import Model from XGBoost</a></li> |
| |
| |
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| <li><a href="/docs/2.9.0//machine-learning/importing-model/model-import-from-apache-spark" class=''>Import Model from Apache Spark</a></li> |
| |
| </nav> |
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| </li> |
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| |
| </nav> |
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| </li> |
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| <li> |
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| <button type='button' data-guide-url="" class='group-toggle collapsed '>Monitoring<img class="state-indicator" src="/assets/images/left-nav-arrow.svg"></button> |
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| <li> |
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| <a href="/docs/2.9.0/monitoring-metrics/intro" |
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| class='' |
| >Introduction</a> |
| |
| </li> |
| |
| |
| |
| |
| |
| <li> |
| |
| <a href="/docs/2.9.0/monitoring-metrics/cluster-id" |
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| class='' |
| >Cluster ID and Tag</a> |
| |
| </li> |
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| <li> |
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| <nav class="sub_pages collapsed"> |
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| <li><a href="/docs/2.9.0//monitoring-metrics/configuring-metrics" class=''>Configuring Metrics</a></li> |
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| <li><a href="/docs/2.9.0//monitoring-metrics/metrics" class=''>JMX Metrics</a></li> |
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| <li><a href="/docs/2.9.0//monitoring-metrics/new-metrics-system" class=''>Introduction</a></li> |
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| <li> |
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| <a href="/docs/2.9.0/monitoring-metrics/system-views" |
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| class='' |
| >System Views</a> |
| |
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| <a href="/docs/2.9.0/monitoring-metrics/tracing" |
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| <a href="/docs/2.9.0/security/authentication" |
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| >Authentication</a> |
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| <a href="/docs/2.9.0/security/ssl-tls" |
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| >SSL/TLS</a> |
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| <nav class="sub_pages collapsed"> |
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| <li><a href="/docs/2.9.0//security/tde" class=''>Introduction</a></li> |
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| <li><a href="/docs/2.9.0//security/master-key-rotation" class=''>Master key rotation</a></li> |
| |
| </nav> |
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| <button type='button' data-guide-url="" class='group-toggle collapsed '>Thin Clients<img class="state-indicator" src="/assets/images/left-nav-arrow.svg"></button> |
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| <li> |
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| <a href="/docs/2.9.0/thin-clients/getting-started-with-thin-clients" |
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| class='' |
| >Thin Clients Overview</a> |
| |
| </li> |
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| <li> |
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| <a href="/docs/2.9.0/thin-clients/java-thin-client" |
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| class='' |
| >Java Thin Client</a> |
| |
| </li> |
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| <li> |
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| <a href="/docs/2.9.0/thin-clients/dotnet-thin-client" |
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| class='' |
| >.NET Thin Client</a> |
| |
| </li> |
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| <li> |
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| <a href="/docs/2.9.0/thin-clients/cpp-thin-client" |
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| class='' |
| >C++ Thin Client</a> |
| |
| </li> |
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| |
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| <li> |
| |
| <a href="/docs/2.9.0/thin-clients/python-thin-client" |
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| class='' |
| >Python Thin Client</a> |
| |
| </li> |
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| <li> |
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| <a href="/docs/2.9.0/thin-clients/php-thin-client" |
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| class='' |
| >PHP Thin Client</a> |
| |
| </li> |
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| <li> |
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| <a href="/docs/2.9.0/thin-clients/nodejs-thin-client" |
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| class='' |
| >Node.js Thin Client</a> |
| |
| </li> |
| |
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| <li> |
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| <button |
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| <li><a href="/docs/2.9.0//binary-client-protocol/binary-client-protocol" class=''>Binary Client Protocol</a></li> |
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| |
| |
| <li><a href="/docs/2.9.0//binary-client-protocol/data-format" class=''>Data Format</a></li> |
| |
| |
| |
| <li><a href="/docs/2.9.0//binary-client-protocol/key-value-queries" class=''>Key-Value Queries</a></li> |
| |
| |
| |
| <li><a href="/docs/2.9.0//binary-client-protocol/sql-and-scan-queries" class=''>SQL and Scan Queries</a></li> |
| |
| |
| |
| <li><a href="/docs/2.9.0//binary-client-protocol/binary-type-metadata" class=''>Binary Types Metadata</a></li> |
| |
| |
| |
| <li><a href="/docs/2.9.0//binary-client-protocol/cache-configuration" class=''>Cache Configuration</a></li> |
| |
| </nav> |
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| </li> |
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| </nav> |
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| <li> |
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| <button type='button' data-guide-url="" class='group-toggle collapsed '>ODBC Driver<img class="state-indicator" src="/assets/images/left-nav-arrow.svg"></button> |
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| <li> |
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| <a href="/docs/2.9.0/SQL/ODBC/odbc-driver" |
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| class='' |
| >ODBC Driver</a> |
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| </li> |
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| <li> |
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| <a href="/docs/2.9.0/SQL/ODBC/connection-string-dsn" |
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| class='' |
| >Connection String and DSN</a> |
| |
| </li> |
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| <li> |
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| <a href="/docs/2.9.0/SQL/ODBC/querying-modifying-data" |
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| class='' |
| >Querying and Modifying Data</a> |
| |
| </li> |
| |
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| <li> |
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| <a href="/docs/2.9.0/SQL/ODBC/specification" |
| |
| class='' |
| >Specification</a> |
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| </li> |
| |
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| <li> |
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| <a href="/docs/2.9.0/SQL/ODBC/data-types" |
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| class='' |
| >Data Types</a> |
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| </li> |
| |
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| <li> |
| |
| <a href="/docs/2.9.0/SQL/ODBC/error-codes" |
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| class='' |
| >Error Codes</a> |
| |
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| |
| </nav> |
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| </li> |
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| <li> |
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| <article data-swiftype-index='true'> |
| <a class='edit-link' href="https://github.com/apache/ignite/tree/IGNITE-7595/docs/_docs/installation/installing-using-docker.adoc" target="_blank">Edit</a> |
| |
| <h1>Installing Using Docker</h1> |
| |
| <div class="sect1"> |
| <h2 id="considerations">Considerations</h2> |
| <div class="sectionbody"> |
| <div class="dlist"> |
| <dl> |
| <dt class="hdlist1"><strong>In-memory vs. Persistent Cluster</strong></dt> |
| <dd> |
| <div class="openblock"> |
| <div class="content"> |
| <div class="paragraph"> |
| <p>When deploying a persistent Ignite cluster, you should always mount a persistent volume or local directory. |
| If you do not use a persistent volume, Ignite will store the data in the container’s file system. |
| It means that the data will be erased when you remove the container. To save the data in a permanent location, <a href="#running-persistent-cluster">mount a persistent volume</a>.</p> |
| </div> |
| </div> |
| </div> |
| </dd> |
| <dt class="hdlist1"><strong>Networking</strong></dt> |
| <dd> |
| <div class="openblock"> |
| <div class="content"> |
| <div class="paragraph"> |
| <p>By default, Ignite Docker image exposes the following ports: 11211, 47100, 47500, 49112. |
| You can expose more ports as needed by adding <code>-p <port></code> to the <code>docker run</code> command. |
| For example, to connect a thin client to the node running inside a docker container, open port 10800:</p> |
| </div> |
| <div class="listingblock"> |
| <div class="content"> |
| <pre class="rouge highlight"><code data-lang="shell">docker run <span class="nt">-d</span> <span class="nt">-p</span> 10800:10800 apacheignite/ignite</code></pre> |
| </div> |
| </div> |
| </div> |
| </div> |
| </dd> |
| </dl> |
| </div> |
| </div> |
| </div> |
| <div class="sect1"> |
| <h2 id="downloading-ignite-docker-image">Downloading Ignite Docker Image</h2> |
| <div class="sectionbody"> |
| <div class="paragraph"> |
| <p>Assuming that you already have Docker installed on your machine, you can pull |
| and run the Ignite Docker image using the following commands.</p> |
| </div> |
| <div class="paragraph"> |
| <p>Open a command shell and use the following command to pull the Ignite Docker image.</p> |
| </div> |
| <div class="listingblock"> |
| <div class="content"> |
| <pre class="rouge highlight"><code data-lang="shell"><span class="c"># Pull latest version</span> |
| <span class="nb">sudo </span>docker pull apacheignite/ignite</code></pre> |
| </div> |
| </div> |
| <div class="paragraph"> |
| <p>By default, the latest version is downloaded, but you can download a specific version too.</p> |
| </div> |
| <div class="listingblock"> |
| <div class="content"> |
| <pre class="rouge highlight"><code data-lang="shell"><span class="c"># Pull a specific Ignite version</span> |
| <span class="nb">sudo </span>docker pull apacheignite/ignite:2.9.0</code></pre> |
| </div> |
| </div> |
| </div> |
| </div> |
| <div class="sect1"> |
| <h2 id="running-in-memory-cluster">Running In-Memory Cluster</h2> |
| <div class="sectionbody"> |
| <div class="paragraph"> |
| <p>Run Ignite in a docker container using the <code>docker run</code> command.</p> |
| </div> |
| <div class="listingblock"> |
| <div class="content"> |
| <pre class="rouge highlight"><code data-lang="shell"><span class="c"># Run the latest version</span> |
| <span class="nb">sudo </span>docker run <span class="nt">-d</span> apacheignite/ignite</code></pre> |
| </div> |
| </div> |
| <div class="paragraph"> |
| <p>This command will launch a single Ignite node.</p> |
| </div> |
| <div class="paragraph"> |
| <p>To run a specific version of Ignite, use the following command:</p> |
| </div> |
| <div class="listingblock"> |
| <div class="content"> |
| <pre class="rouge highlight"><code data-lang="shell"><span class="c"># Run a specific Ignite version</span> |
| <span class="nb">sudo </span>docker run <span class="nt">-d</span> apacheignite/ignite:2.9.0</code></pre> |
| </div> |
| </div> |
| </div> |
| </div> |
| <div class="sect1"> |
| <h2 id="running-persistent-cluster">Running Persistent Cluster</h2> |
| <div class="sectionbody"> |
| <div class="paragraph"> |
| <p>If you use <a href="/docs/2.9.0/persistence/native-persistence">Native Persistence</a>, Ignite stores the user data under the default work directory (<code>{IGNITE_HOME}/work</code>) in the file system of the container. This directory will be erased if you restart the docker container. To avoid this, you can:</p> |
| </div> |
| <div class="ulist"> |
| <ul> |
| <li> |
| <p>Use a persistent volume to store the data; or</p> |
| </li> |
| <li> |
| <p>Mount a local directory</p> |
| </li> |
| </ul> |
| </div> |
| <div class="paragraph"> |
| <p>These two options are described in the following sections.</p> |
| </div> |
| <div class="sect2"> |
| <h3 id="using-persistent-volume">Using Persistent Volume</h3> |
| <div class="paragraph"> |
| <p>To create a persistent volume, run the following command:</p> |
| </div> |
| <div class="listingblock"> |
| <div class="content"> |
| <pre class="rouge highlight"><code data-lang="shell"><span class="nb">sudo </span>docker volume create persistence-volume</code></pre> |
| </div> |
| </div> |
| <div class="paragraph"> |
| <p>We will mount this volume to a specific directory when running the Ignite docker image. This directory will have to be passed to Ignite. This can be done in two ways:</p> |
| </div> |
| <div class="ulist"> |
| <ul> |
| <li> |
| <p>Using the <code>IGNITE_WORK_DIR</code> system property</p> |
| </li> |
| <li> |
| <p>In the node configuration file</p> |
| </li> |
| </ul> |
| </div> |
| <div class="paragraph"> |
| <p>The following command launches the Ignite Docker image and passes the work directory to Ignite via the system property:</p> |
| </div> |
| <div class="listingblock"> |
| <div class="content"> |
| <pre class="rouge highlight"><code data-lang="shell">docker run <span class="nt">-d</span> <span class="se">\</span> |
| <span class="nt">-v</span> storage-volume:/storage <span class="se">\</span> |
| <span class="nt">-e</span> <span class="nv">IGNITE_WORK_DIR</span><span class="o">=</span>/storage <span class="se">\</span> |
| apacheignite/ignite</code></pre> |
| </div> |
| </div> |
| </div> |
| <div class="sect2"> |
| <h3 id="using-local-directory">Using Local Directory</h3> |
| <div class="paragraph"> |
| <p>Instead of creating a volume, you can mount a local directory to the container in which the Ignite image is running and use this directory to store persistent data. |
| When restarting the container with the same command, Ignite will load the data from the directory.</p> |
| </div> |
| <div class="listingblock"> |
| <div class="content"> |
| <pre class="rouge highlight"><code data-lang="shell"><span class="nb">mkdir </span>work_dir |
| |
| docker run <span class="nt">-d</span> <span class="se">\</span> |
| <span class="nt">-v</span> <span class="k">${</span><span class="nv">PWD</span><span class="k">}</span>/work_dir:/storage <span class="se">\</span> |
| <span class="nt">-e</span> <span class="nv">IGNITE_WORK_DIR</span><span class="o">=</span>/storage <span class="se">\</span> |
| apacheignite/ignite</code></pre> |
| </div> |
| </div> |
| <div class="paragraph"> |
| <p>The <code>-v</code> option mounts a local directory under the <code>/storage</code> path in the container. |
| The <code>-e IGNITE_WORK_DIR=/storage</code> option tells Ignite to use this folder as the work directory.</p> |
| </div> |
| </div> |
| </div> |
| </div> |
| <div class="sect1"> |
| <h2 id="providing-configuration-file">Providing Configuration File</h2> |
| <div class="sectionbody"> |
| <div class="paragraph"> |
| <p>When you run the image, it starts a node with the default configuration file. |
| You can pass a custom configuration file by using the <code>CONFIG_URI</code> environment variable:</p> |
| </div> |
| <div class="listingblock"> |
| <div class="content"> |
| <pre class="rouge highlight"><code data-lang="shell">docker run <span class="nt">-d</span> <span class="se">\</span> |
| <span class="nt">-e</span> <span class="nv">CONFIG_URI</span><span class="o">=</span>http://myserver/config.xml <span class="se">\</span> |
| apacheignite/ignite</code></pre> |
| </div> |
| </div> |
| <div class="paragraph"> |
| <p>You can also use a file from your local file system. |
| You need to mount the file first under a specific path inside the container by using the <code>-v</code> option. |
| Then, use this path in the <code>CONFIG_URI</code> option:</p> |
| </div> |
| <div class="listingblock"> |
| <div class="content"> |
| <pre class="rouge highlight"><code data-lang="shell">docker run <span class="nt">-d</span> <span class="se">\</span> |
| <span class="nt">-v</span> /local/dir/config.xml:/config-file.xml <span class="se">\</span> |
| <span class="nt">-e</span> <span class="nv">CONFIG_URI</span><span class="o">=</span>/config-file.xml <span class="se">\</span> |
| apacheignite/ignite</code></pre> |
| </div> |
| </div> |
| </div> |
| </div> |
| <div class="sect1"> |
| <h2 id="deploying-user-libraries">Deploying User Libraries</h2> |
| <div class="sectionbody"> |
| <div class="paragraph"> |
| <p>When starting, a node adds all libraries found in the <code>{IGNITE_HOME}/libs</code> directory to the classpath (ignoring the "optional" directory). |
| If you want to deploy user libraries, you can mount a directory from your local machine to a path in the <code>/opt/ignite/apache-ignite/libs/</code> in the container by using the <code>-v</code> option.</p> |
| </div> |
| <div class="paragraph"> |
| <p>The following command mounts a directory on your machine to <code>libs/user_libs</code> in the container. |
| All files located in the directory are added to the classpath of the node.</p> |
| </div> |
| <div class="listingblock"> |
| <div class="content"> |
| <pre class="rouge highlight"><code data-lang="shell">docker run <span class="nt">-v</span> /local_path/to/dir_with_libs/:/opt/ignite/apache-ignite/libs/user_libs apacheignite/ignite</code></pre> |
| </div> |
| </div> |
| <div class="paragraph"> |
| <p>Another option is to use the <code>EXTERNAL_LIBS</code> variable if your libraries are available via an URL.</p> |
| </div> |
| <div class="listingblock"> |
| <div class="content"> |
| <pre class="rouge highlight"><code data-lang="shell">docker run <span class="nt">-e</span> <span class="s2">"EXTERNAL_LIBS=http://url_to_your_jar"</span> apacheignite/ignite</code></pre> |
| </div> |
| </div> |
| </div> |
| </div> |
| <div class="sect1"> |
| <h2 id="enabling-modules">Enabling Modules</h2> |
| <div class="sectionbody"> |
| <div class="paragraph"> |
| <p>To enable specific <a href="/docs/2.9.0/setup#enabling-modules">modules</a>, specify their names in the "OPTION_LIBS" system variable as follows:</p> |
| </div> |
| <div class="listingblock"> |
| <div class="content"> |
| <pre class="rouge highlight"><code data-lang="shell"><span class="nb">sudo </span>docker run <span class="nt">-d</span> <span class="se">\</span> |
| <span class="nt">-e</span> <span class="s2">"OPTION_LIBS=ignite-rest-http,ignite-aws"</span> <span class="se">\</span> |
| apacheignite/ignite</code></pre> |
| </div> |
| </div> |
| <div class="paragraph"> |
| <p>By default, the Ignite Docker image starts with the following modules enabled:</p> |
| </div> |
| <div class="ulist"> |
| <ul> |
| <li> |
| <p>ignite-log4j,</p> |
| </li> |
| <li> |
| <p>ignite-spring,</p> |
| </li> |
| <li> |
| <p>ignite-indexing.</p> |
| </li> |
| </ul> |
| </div> |
| </div> |
| </div> |
| <div class="sect1"> |
| <h2 id="environment-variables">Environment Variables</h2> |
| <div class="sectionbody"> |
| <div class="paragraph"> |
| <p>The following parameters can be passed as environment variables in the docker container:</p> |
| </div> |
| <table class="tableblock frame-all grid-all stripes-even stretch"> |
| <colgroup> |
| <col style="width: 25%;"> |
| <col style="width: 50%;"> |
| <col style="width: 25%;"> |
| </colgroup> |
| <thead> |
| <tr> |
| <th class="tableblock halign-left valign-top">Parameter Name</th> |
| <th class="tableblock halign-left valign-top">Description</th> |
| <th class="tableblock halign-left valign-top">Default</th> |
| </tr> |
| </thead> |
| <tbody> |
| <tr> |
| <td class="tableblock halign-left valign-top"><p class="tableblock"><code>CONFIG_URI</code></p></td> |
| <td class="tableblock halign-left valign-top"><p class="tableblock">URL to the Ignite configuration file (can also be relative to the META-INF folder on the class path). |
| The downloaded config file is saved to ./ignite-config.xml</p></td> |
| <td class="tableblock halign-left valign-top"><p class="tableblock">N/A</p></td> |
| </tr> |
| <tr> |
| <td class="tableblock halign-left valign-top"><p class="tableblock"><code>OPTION_LIBS</code></p></td> |
| <td class="tableblock halign-left valign-top"><p class="tableblock">A list of <a href="/docs/2.9.0/setup#enabling-modules">modules</a> that will be enabled for the node.</p></td> |
| <td class="tableblock halign-left valign-top"><p class="tableblock">ignite-log4j, ignite-spring, ignite-indexing</p></td> |
| </tr> |
| <tr> |
| <td class="tableblock halign-left valign-top"><p class="tableblock"><code>JVM_OPTS</code></p></td> |
| <td class="tableblock halign-left valign-top"><p class="tableblock">JVM arguments passed to the Ignite instance.</p></td> |
| <td class="tableblock halign-left valign-top"><p class="tableblock">N/A</p></td> |
| </tr> |
| <tr> |
| <td class="tableblock halign-left valign-top"><p class="tableblock"><code>EXTERNAL_LIBS</code></p></td> |
| <td class="tableblock halign-left valign-top"><p class="tableblock">A list of URL’s to external libraries. Refer to <a href="#deploying-user-libraries">Deploying User Libraries</a>.</p></td> |
| <td class="tableblock halign-left valign-top"><p class="tableblock">N/A</p></td> |
| </tr> |
| </tbody> |
| </table> |
| </div> |
| </div> |
| <div class="copyright"> |
| © 2020 The Apache Software Foundation.<br/> |
| Apache, Apache Ignite, the Apache feather and the Apache Ignite logo are either registered trademarks or trademarks of The Apache Software Foundation. |
| |
| </div> |
| |
| </article> |
| <nav class="right-nav" data-swiftype-index='false'> |
| <ul class="sectlevel1"> |
| <li><a href="#considerations">Considerations</a></li> |
| <li><a href="#downloading-ignite-docker-image">Downloading Ignite Docker Image</a></li> |
| <li><a href="#running-in-memory-cluster">Running In-Memory Cluster</a></li> |
| <li><a href="#running-persistent-cluster">Running Persistent Cluster</a> |
| <ul class="sectlevel2"> |
| <li><a href="#using-persistent-volume">Using Persistent Volume</a></li> |
| <li><a href="#using-local-directory">Using Local Directory</a></li> |
| </ul> |
| </li> |
| <li><a href="#providing-configuration-file">Providing Configuration File</a></li> |
| <li><a href="#deploying-user-libraries">Deploying User Libraries</a></li> |
| <li><a href="#enabling-modules">Enabling Modules</a></li> |
| <li><a href="#environment-variables">Environment Variables</a></li> |
| </ul> |
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