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404s (github#249)
* remove leading slashes in links * Use full URL * Remove leading slash * remove unused links from FAQs * Fix URL to advanced analytic queries * remove variable from full URL * Remove leading slash * Remove unused links * Remove leading slashes * Remove trailing slash * Fix path * Fix URL * Update external link * Update external URL * fix path * fix path * Remove trailing slash * remove trailing slash * remove trailing slash * Remove trailing slashes * Apply suggestions from code review Co-authored-by: mirandaauhl <[email protected]> * Apply suggestions from code review Co-authored-by: Ryan Booz <[email protected]> * Apply suggestions from code review Co-authored-by: mirandaauhl <[email protected]> Co-authored-by: Ryan Booz <[email protected]> Co-authored-by: Jacob Prall <[email protected]>
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api/error.md

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This returns the maximum relative error that a percentile estimate will have
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(relative to the correct value). This means the actual value will fall in the
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range defined by `approx_percentile(sketch) +/- approx_percentile(sketch)*error(sketch)`.
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range defined by `approx_percentile(sketch) +/- approx_percentile(sketch)*error(sketch)`.
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This function can only be used on estimators produced by [`percentile_agg()`](/hyperfunctions/percentile-approximation/aggregation-methods/percentile_agg/) or [`uddsketch()`](/hyperfunctions/percentile-approximation/aggregation-methods/uddsketch/) calls.
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This function can only be used on estimators produced by [`percentile_agg()`](/hyperfunctions/percentile-approximation/percentile_agg) or [`uddsketch()`](/hyperfunctions/percentile-approximation/percentile-aggregation-methods/uddsketch) calls.
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### Required arguments
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api/rollup-percentile.md

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|---|---|---|
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|`rollup`|`UddSketch` / `tdigest`|A UddSketch or tdigest object which may be passed to further APIs|
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Because the `percentile_agg()`](/hyperfunctions/percentile-approximation/aggregation-methods/percentile_agg/) function uses the [UddSketch algorithm](/hyperfunctions/percentile-approximation/aggregation-methods/uddsketch/), `rollup` returns the UddSketch data structure for use in further calls.
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Because the `percentile_agg()`](/hyperfunctions/percentile-approximation/aggregation-methods/percentile_agg/) function uses the [UddSketch algorithm](/hyperfunctions/percentile-approximation/percentile-aggregation-methods/uddsketch), `rollup` returns the UddSketch data structure for use in further calls.
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When using the `percentile_agg` or `UddSketch` aggregates, the `rollup` function will not introduce additional error (compared to calculating the estimator directly), however, using `rollup` with `tdigest` may introduce additional error compared to calculating the estimator directly on the underlying data.
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timescale-forge/create-a-service.md

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[hypertable-info]: /timescaledb/latest/how-to-guides/hypertables
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[time-bucket-info]: /timescaledb/latest/how-to-guides/query-data/advanced-analytic-queries#time-bucket
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[gap-filling-info]: /timescaledb/latest/how-to-guides/query-data/advanced-analytic-queries#gap-filling
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[aggregates-info]: /timescaledb/latest/getting-started/create-cagg/
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[aggregates-info]: /timescaledb/latest/getting-started/create-cagg
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[resize]: /scaling-a-service/
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[configuration]: /customize-configuration/
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[multi-node]: /forge-multi-node/

timescale-forge/forge-multi-node.md

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[sign-up]: https://forge.timescale.com/signup
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[maintenance-tasks]: timescaledb/:currentVersion:/how-to-guides/multi-node-setup/maintenance-tasks/
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[slack]: https://slack.timescale.com/
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[changes-in-tsdb2]: /timescaledb/:currentVersion:/overview/release-notes/changes-in-timescaledb-2/
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[changes-in-tsdb2]: /timescaledb/:currentVersion:/overview/release-notes/changes-in-timescaledb-2
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[distributed-architechture]: https://blog.timescale.com/blog/building-a-distributed-time-series-database-on-postgresql/
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[postgres-user-mapping]: https://www.postgresql.org/docs/current/view-pg-user-mappings.html
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[sample-data]: /timescaledb/:currentVersion:/tutorials/sample-datasets/
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[sample-data]: /timescaledb/:currentVersion:/tutorials/sample-datasets
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[promscale]: https://github.com/timescale/promscale
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[forge-configuration]: /customize-configuration

timescaledb/how-to-guides/configuration/telemetry.md

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ALTER [SYSTEM | DATABASE | USER] { *db_name* | *role_specification* } SET timescaledb.telemetry_level=basic
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```
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[get_telemetry_report]: /api/:currentVersion:/administration-functions/get_telemetry_report/
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[get_telemetry_report]: /api/:currentVersion:/administration/get_telemetry_report

timescaledb/how-to-guides/continuous-aggregates/index.md

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[cagg-time]: /how-to-guides/continuous-aggregates/time
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[cagg-drop]: /how-to-guides/continuous-aggregates/drop-data
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[cagg-mat-hypertables]: /how-to-guides/continuous-aggregates/materialized-hypertables
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[cagg-realtime]: /how-to-guides/continuous-aggregates/real-time-aggregates/
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[cagg-realtime]: /how-to-guides/continuous-aggregates/real-time-aggregates
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[cagg-tshoot]: /how-to-guides/continuous-aggregates/troubleshooting

timescaledb/how-to-guides/distributed-hypertables/index.md

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Distributed hypertables currently have some limitations when
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compared to non-distributed hypertables. Before creating a
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distributed hypertable for production workloads, please review our
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[limitations](/latest/overview/limitations/#distributed-hypertable-limitations)
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[limitations](/timescaledb/latest/overview/limitations/)
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document to ensure that your use case will work as expected. You can also
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[contact us](https://www.timescale.com/contact) or join the #multinode channel
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in our [community Slack](https://slack.timescale.com/).

timescaledb/how-to-guides/ingest-data.md

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[postgresql-connector-kafka]: https://github.com/debezium/debezium/tree/master/debezium-connector-postgres
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[kafka-connect]: http://kafka.apache.org/documentation.html#connect
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[github-debezium]: https://github.com/debezium/debezium/tree/master/debezium-connector-postgres
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[streamsets-data-collector]: https://streamsets.com/opensource
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[streamsets-data-collector]: https://streamsets.com/products/dataops-platform/data-collector-engine/
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[tutorial-streamsets]: https://streamsets.com/blog/ingesting-data-apache-kafka-timescaledb/

timescaledb/how-to-guides/multi-node-setup/index.md

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trial and get started today!
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[init_data_nodes]: /getting-started/setup-multi-node-basic#init_data_nodes_on_access_node
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[auth-password]: https://www.postgresql.org/docs/current/auth-password.html
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[passfile]: https://www.postgresql.org/docs/current/libpq-pgpass.html
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[md5sum]: https://www.tutorialspoint.com/unix_commands/md5sum.htm
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[distributed hypertables]: /using-timescaledb/distributed-hypertables
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[add_data_node]: /api#add_data_node
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[attach_data_node]: /api#attach_data_node
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[delete_data_node]: /api#delete_data_node
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[detach_data_node]: /api#detach_data_node
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[distributed_exec]: /api#distributed_exec
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[configuration]: /how-to-guides/multi-node-setup/required-configuration
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[install]: /how-to-guides/install-timescaledb
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[setup]: /how-to-guides/install-timescaledb/post-install-setup/
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[postgresql-hba]: https://www.postgresql.org/docs/12/auth-pg-hba-conf.html
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[user-mapping]: https://www.postgresql.org/docs/current/sql-createusermapping.html
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[setup]: /how-to-guides/install-timescaledb/post-install-setup
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[Core Concepts]: /overview/core-concepts/
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[multi_node_forge]: /timescale-forge/:currentVersion:/forge-multi-node/
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[multi_node_forge]: /timescale-forge/:currentVersion:/forge-multi-node

timescaledb/how-to-guides/troubleshoot-timescaledb.md

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[slack]: https://slack.timescale.com/
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[github]: https://github.com/timescale/timescaledb/issues
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[update-db]: /timescaledb/:currentVersion:/how-to-guides/update-timescaledb/
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[update-db]: /how-to-guides/update-timescaledb/
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[using explain]: https://www.postgresql.org/docs/current/static/using-explain.html
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[track_io_timing]: https://www.postgresql.org/docs/current/static/runtime-config-statistics.html#GUC-TRACK-IO-TIMING
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[downloaded separately]: https://raw.githubusercontent.com/timescale/timescaledb/master/scripts/dump_meta_data.sql

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