Merge pull request #45366 from gingerwizard/cross-link-docs

link docs to blogs
ClickHouse · Jan 23, 2023 · ee31da9 · ee31da9
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diff --git a/docs/en/getting-started/index.md b/docs/en/getting-started/index.md
@@ -22,8 +22,8 @@ functions in ClickHouse. The sample datasets include:
 - The [Cell Towers dataset](../getting-started/example-datasets/cell-towers.md) imports a CSV into ClickHouse
 - The [NYPD Complaint Data](../getting-started/example-datasets/nypd_complaint_data.md) demonstrates how to use data inference to simplify creating tables
 - The ["What's on the Menu?" dataset](../getting-started/example-datasets/menus.md) has an example of denormalizing data
-- The [Getting Data Into ClickHouse - Part 1](https://clickhouse.com/blog/getting-data-into-clickhouse-part-1) provides examples of defining a schema and loading a small Hacker News dataset 
-- The [Getting Data Into ClickHouse - Part 2 - A JSON detour](https://clickhouse.com/blog/getting-data-into-clickhouse-part-2-json) shows how JSON data can be loaded
-- The [Getting Data Into ClickHouse - Part 3 - Using S3](https://clickhouse.com/blog/getting-data-into-clickhouse-part-3-s3) has examples of loading data from s3
+- [Getting Data Into ClickHouse - Part 1](https://clickhouse.com/blog/getting-data-into-clickhouse-part-1) provides examples of defining a schema and loading a small Hacker News dataset 
+- [Getting Data Into ClickHouse - Part 3 - Using S3](https://clickhouse.com/blog/getting-data-into-clickhouse-part-3-s3) has examples of loading data from s3
+- [Generating random data in ClickHouse](https://clickhouse.com/blog/generating-random-test-distribution-data-for-clickhouse) shows how to generate random data if none of the above fit your needs.
 
 View the **Tutorials and Datasets** menu for a complete list of sample datasets.
diff --git a/docs/en/operations/system-tables/index.md b/docs/en/operations/system-tables/index.md
@@ -72,3 +72,10 @@ If procfs is supported and enabled on the system, ClickHouse server collects the
 -   `OSWriteChars`
 -   `OSReadBytes`
 -   `OSWriteBytes`
+
+## Related content
+
+- Blog: [System Tables and a window into the internals of ClickHouse](https://clickhouse.com/blog/clickhouse-debugging-issues-with-system-tables)
+- Blog: [Essential monitoring queries - part 1 - INSERT queries](https://clickhouse.com/blog/monitoring-troubleshooting-insert-queries-clickhouse)
+- Blog: [Essential monitoring queries - part 2 - SELECT queries](https://clickhouse.com/blog/monitoring-troubleshooting-select-queries-clickhouse)
+
diff --git a/docs/en/sql-reference/data-types/lowcardinality.md b/docs/en/sql-reference/data-types/lowcardinality.md
@@ -54,7 +54,9 @@ Functions:
 
 -   [toLowCardinality](../../sql-reference/functions/type-conversion-functions.md#tolowcardinality)
 
-## See Also
+## Related content
 
--   [Reducing ClickHouse Storage Cost with the Low Cardinality Type – Lessons from an Instana Engineer](https://www.instana.com/blog/reducing-clickhouse-storage-cost-with-the-low-cardinality-type-lessons-from-an-instana-engineer/).
--   [String Optimization (video presentation in Russian)](https://youtu.be/rqf-ILRgBdY?list=PL0Z2YDlm0b3iwXCpEFiOOYmwXzVmjJfEt). [Slides in English](https://github.com/ClickHouse/clickhouse-presentations/raw/master/meetup19/string_optimization.pdf).
+-   [Reducing ClickHouse Storage Cost with the Low Cardinality Type – Lessons from an Instana Engineer](https://www.instana.com/blog/reducing-clickhouse-storage-cost-with-the-low-cardinality-type-lessons-from-an-instana-engineer/)
+-   [String Optimization (video presentation in Russian)](https://youtu.be/rqf-ILRgBdY?list=PL0Z2YDlm0b3iwXCpEFiOOYmwXzVmjJfEt). [Slides in English](https://github.com/ClickHouse/clickhouse-presentations/raw/master/meetup19/string_optimization.pdf)
+- Blog: [Optimizing ClickHouse with Schemas and Codecs](https://clickhouse.com/blog/optimize-clickhouse-codecs-compression-schema)
+- Blog: [Working with time series data in ClickHouse](https://clickhouse.com/blog/working-with-time-series-data-and-functions-ClickHouse)
diff --git a/docs/en/sql-reference/functions/date-time-functions.md b/docs/en/sql-reference/functions/date-time-functions.md
@@ -1582,3 +1582,8 @@ Result:
 │ 2020-01-01                         │
 └────────────────────────────────────┘
 ```
+
+## Related content
+
+- Blog: [Working with time series data in ClickHouse](https://clickhouse.com/blog/working-with-time-series-data-and-functions-ClickHouse)
+
diff --git a/docs/en/sql-reference/functions/random-functions.md b/docs/en/sql-reference/functions/random-functions.md
@@ -588,3 +588,6 @@ Result:
 │ aeca2A                                │
 └───────────────────────────────────────┘
 ```
+
+## Related content
+- Blog: [Generating random data in ClickHouse](https://clickhouse.com/blog/generating-random-test-distribution-data-for-clickhouse)
diff --git a/docs/en/sql-reference/functions/time-window-functions.md b/docs/en/sql-reference/functions/time-window-functions.md
@@ -115,3 +115,7 @@ Returns the exclusive upper bound of the corresponding hopping window.
 hopEnd(bounds_tuple);
 hopEnd(time_attr, hop_interval, window_interval [, timezone]);
 ```
+
+## Related content
+
+- Blog: [Working with time series data in ClickHouse](https://clickhouse.com/blog/working-with-time-series-data-and-functions-ClickHouse)
diff --git a/docs/en/sql-reference/statements/create/table.md b/docs/en/sql-reference/statements/create/table.md
@@ -502,3 +502,9 @@ Result:
 │ t1   │ The temporary table │
 └──────┴─────────────────────┘
 ```
+
+
+## Related content
+
+- Blog: [Optimizing ClickHouse with Schemas and Codecs](https://clickhouse.com/blog/optimize-clickhouse-codecs-compression-schema)
+- Blog: [Working with time series data in ClickHouse](https://clickhouse.com/blog/working-with-time-series-data-and-functions-ClickHouse)
diff --git a/docs/en/sql-reference/statements/create/view.md b/docs/en/sql-reference/statements/create/view.md
@@ -350,3 +350,7 @@ The window view is useful in the following scenarios:
 
 * **Monitoring**: Aggregate and calculate the metrics logs by time, and output the results to a target table. The dashboard can use the target table as a source table.
 * **Analyzing**: Automatically aggregate and preprocess data in the time window. This can be useful when analyzing a large number of logs. The preprocessing eliminates repeated calculations in multiple queries and reduces query latency.
+
+## Related Content
+
+- Blog: [Working with time series data in ClickHouse](https://clickhouse.com/blog/working-with-time-series-data-and-functions-ClickHouse)
diff --git a/docs/en/sql-reference/statements/select/array-join.md b/docs/en/sql-reference/statements/select/array-join.md
@@ -299,3 +299,8 @@ ARRAY JOIN nest AS n, arrayEnumerate(`nest.x`) AS num;
 ## Implementation Details
 
 The query execution order is optimized when running `ARRAY JOIN`. Although `ARRAY JOIN` must always be specified before the [WHERE](../../../sql-reference/statements/select/where.md)/[PREWHERE](../../../sql-reference/statements/select/prewhere.md) clause in a query, technically they can be performed in any order, unless result of `ARRAY JOIN` is used for filtering. The processing order is controlled by the query optimizer.
+
+
+## Related content
+
+- Blog: [Working with time series data in ClickHouse](https://clickhouse.com/blog/working-with-time-series-data-and-functions-ClickHouse)
diff --git a/docs/en/sql-reference/statements/select/order-by.md b/docs/en/sql-reference/statements/select/order-by.md
@@ -543,3 +543,7 @@ Result:
 │   7 │ original │     7 │
 └─────┴──────────┴───────┘
 ```
+
+## Related content
+
+- Blog: [Working with time series data in ClickHouse](https://clickhouse.com/blog/working-with-time-series-data-and-functions-ClickHouse)
diff --git a/docs/en/sql-reference/table-functions/generate.md b/docs/en/sql-reference/table-functions/generate.md
@@ -51,4 +51,7 @@ SELECT * FROM random;
 │ []                           │   68091.8197 │ ('2037-10-02 12:44:23.368','039ecab7-81c2-45ee-208c-844e5c6c5652') │
 │ [8,-83,0,-22,65,9,-30,28,64] │ -186233.4909 │ ('2062-01-11 00:06:04.124','69563ea1-5ad1-f870-16d8-67061da0df25') │
 └──────────────────────────────┴──────────────┴────────────────────────────────────────────────────────────────────┘
-```
+```
+
+## Related content
+- Blog: [Generating random data in ClickHouse](https://clickhouse.com/blog/generating-random-test-distribution-data-for-clickhouse)
diff --git a/docs/en/sql-reference/table-functions/postgresql.md b/docs/en/sql-reference/table-functions/postgresql.md
@@ -131,3 +131,6 @@ CREATE TABLE pg_table_schema_with_dots (a UInt32)
 
 -   [The PostgreSQL table engine](../../engines/table-engines/integrations/postgresql.md)
 -   [Using PostgreSQL as a dictionary source](../../sql-reference/dictionaries/external-dictionaries/external-dicts-dict-sources.md#dicts-external_dicts_dict_sources-postgresql)
+
+## Related content
+- Blog: [ClickHouse and PostgreSQL - a match made in data heaven - part 1](https://clickhouse.com/blog/migrating-data-between-clickhouse-postgres)
diff --git a/docs/en/sql-reference/window-functions/index.md b/docs/en/sql-reference/window-functions/index.md
@@ -590,5 +590,6 @@ ORDER BY
 
 ## Related Content
 
-- [Window and array functions for Git commit sequences](https://clickhouse.com/blog/clickhouse-window-array-functions-git-commits)
-- [Getting Data Into ClickHouse - Part 3 - Using S3](https://clickhouse.com/blog/getting-data-into-clickhouse-part-3-s3)
+- Blog: [Working with time series data in ClickHouse](https://clickhouse.com/blog/working-with-time-series-data-and-functions-ClickHouse)
+- Blog: [Window and array functions for Git commit sequences](https://clickhouse.com/blog/clickhouse-window-array-functions-git-commits)
+- Blog: [Getting Data Into ClickHouse - Part 3 - Using S3](https://clickhouse.com/blog/getting-data-into-clickhouse-part-3-s3)