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docs/_docs/SQL/JDBC/jdbc-driver.adoc

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=== Partition Awareness [[partition-awareness]]
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[WARNING]
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====
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[discrete]
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Partition awareness is an experimental feature whose API or design architecture might be changed
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before a GA version is released.
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====
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Partition awareness is a feature that makes the JDBC driver "aware" of the partition distribution in the cluster.
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It allows the driver to pick the nodes that own the data that is being queried and send the query directly to those nodes
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(if the addresses of the nodes are provided in the driver's configuration). Partition awareness can increase average

docs/_docs/SQL/sql-introduction.adoc

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Ignite's default SQL engine uses H2 Database to parse and optimize queries and generate execution plans, but also the Apache Calcite-based SQL engine can be enabled to execute queries.
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WARNING: Apache Calcite-based SQL engine is an experimental feature. For more information, see the link:SQL/sql-calcite[Calcite-based SQL engine, window=_blank] section.
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== Distributed Queries
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Queries against link:data-modeling/data-partitioning#partitioned[partitioned] tables are executed in a distributed manner:

docs/_docs/monitoring-metrics/performance-statistics.adoc

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// limitations under the License.
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= Performance Statistics
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WARNING: This feature is experimental and may change in future releases.
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== Overview
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Ignite provides a built-in tool for cluster profiling.

docs/_docs/monitoring-metrics/system-views.adoc

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// limitations under the License.
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= System Views
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WARNING: The system views are an experimental feature and can be changed in future releases.
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Ignite provides a number of built-in SQL views that contain information about cluster nodes and node metrics.
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The views are available in the SYS schema.
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See the link:SQL/schemas[Understanding Schemas] page for the information on how to access a non-default schema.

docs/_docs/monitoring-metrics/tracing.adoc

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:javaFile: {javaCodeDir}/Tracing.java
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WARNING: This feature is experimental.
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A number of APIs in Ignite are instrumented for tracing with OpenCensus.
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You can collect distributed traces of various tasks executed in your cluster and use this information to diagnose latency problems.
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=== Using Control Script
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Go to the `{IGNITE_HOME}/bin` directory of your Ignite installation.
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Enable experimental commands in the control script:
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[source, shell]
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----
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export IGNITE_ENABLE_EXPERIMENTAL_COMMAND=true
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----
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Enable tracing for a specific API:
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docs/_docs/services/services.adoc

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== Service Middleware
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WARNING: This feature is experimental and may change in future releases.
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[CAUTION]
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====
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This feature may affect performance of service execution.

docs/_docs/starting-nodes.adoc

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TODO: is this section valid for ignite?
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WARNING: This feature is experimental.
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When you simultaneously stop more nodes than the number of partition backups, some partitions may become unavailable to the remaining nodes (because both the primary and backup copies of the partition happen to be on the nodes that were shut down).
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For example, if the number of backups for a cache is set to 1 and you stop 2 nodes, there is a chance that both the primary and backup copy of a partition becomes unavailable to the rest of the cluster.
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The proper way of dealing with this situation is to stop one node, rebalance the data, and then wait until the rebalancing is finished before stopping the next node, and so on.

docs/_docs/tools/control-script.adoc

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You can enable or disable sampling of traces for a specific API by using the `--tracing-configuration` command.
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Refer to the link:monitoring-metrics/tracing[Tracing] section for details.
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Before using the command, enable experimental features of the control script:
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[source, shell]
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export IGNITE_ENABLE_EXPERIMENTAL_COMMAND=true
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To view the current tracing configuration, execute the following command:
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[source, shell]

modules/calcite/README.txt

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Apache Ignite Calcite Module
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--------------------------
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Apache Ignite Calcite module provides experimental Apache Calcite based query engine.
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Apache Ignite Calcite module provides Apache Calcite based query engine.
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To enable Calcite based engine explicit `CalciteQueryEngineConfiguration` instance should be added to
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`SqlConfiguration.QueryEnginesConfiguration` property (see `SqlConfiguration.setQueryEnginesConfiguration()`) or ./examples/config/example-sql.xml.

modules/calcite/src/test/java/org/apache/ignite/internal/processors/query/calcite/jdbc/JdbcCrossEngineTest.java

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import org.junit.Test;
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* Cross check queries on experimental and non-experimental SQL engines.
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* Cross check queries on SQL engines.
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*/
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public class JdbcCrossEngineTest extends AbstractJdbcTest {
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/** Nodes count. */

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