Merge pull request #9134 from soyeric128/8000

mergify[bot] · web-flow · commit 69f83a69a5b2 · 2022-12-07T14:57:38.000Z
docs: port 8081 to 8000
diff --git a/docs/doc/10-deploy/07-query/10-query-config.md b/docs/doc/10-deploy/07-query/10-query-config.md
@@ -271,7 +271,7 @@ clickhouse_handler_port = 9001
 
 # Query HTTP Handler.
 http_handler_host = "0.0.0.0"
-http_handler_port = 8081
+http_handler_port = 8000
 
 tenant_id = "tenant1"
 cluster_id = "cluster1"
diff --git a/docs/doc/12-load-data/00-stage.md b/docs/doc/12-load-data/00-stage.md
@@ -66,17 +66,17 @@ Upload `books.csv` into stages:
 ```shell title='Request /v1/upload_to_stage' API
 curl -H "stage_name:my_int_stage"\
  -F "upload=@./books.csv"\
- -XPUT http://root:@localhost:8081/v1/upload_to_stage
+ -XPUT http://root:@localhost:8000/v1/upload_to_stage
 ```
 
 ```text title='Response'
 {"id":"50880048-f397-4d32-994c-ce3d38af430f","stage_name":"my_int_stage","state":"SUCCESS","files":["books.csv"]}
 ```
 
 :::tip
-* http://127.0.0.1:8081/v1/upload_to_stage
+* http://127.0.0.1:8000/v1/upload_to_stage
   * `127.0.0.1` is `http_handler_host` value in your *databend-query.toml*
-  * `8081` is `http_handler_port` value in your *databend-query.toml*
+  * `8000` is `http_handler_port` value in your *databend-query.toml*
 
 * -F  \"upload=@./books.csv\"
   * Your books.csv file location
@@ -91,17 +91,17 @@ Upload `books.parquet` into stages:
 ```shell title='Request /v1/upload_to_stage' API
 curl -H "stage_name:my_int_stage"\
  -F "upload=@./books.parquet"\
- -XPUT http://root:@localhost:8081/v1/upload_to_stage
+ -XPUT http://root:@localhost:8000/v1/upload_to_stage
 ```
 
 ```text title='Response'
 {"id":"50880048-f397-4d32-994c-ce3d38af430f","stage_name":"my_int_stage","state":"SUCCESS","files":["books.parquet"]}
 ```
 
 :::tip
-* http://127.0.0.1:8081/v1/upload_to_stage
+* http://127.0.0.1:8000/v1/upload_to_stage
   * `127.0.0.1` is `http_handler_host` value in your *databend-query.toml*
-  * `8081` is `http_handler_port` value in your *databend-query.toml*
+  * `8000` is `http_handler_port` value in your *databend-query.toml*
 
 * -F  \"upload=@./books.parquet\"
   * Your books.csv file location
diff --git a/docs/doc/12-load-data/02-local.md b/docs/doc/12-load-data/02-local.md
@@ -43,7 +43,7 @@ CREATE TABLE books
 Create and send the API request with the following scripts:
 
 ```bash
-curl -XPUT 'http://root:@127.0.0.1:8081/v1/streaming_load' -H 'insert_sql: insert into book_db.books format CSV' -H 'skip_header: 0' -H 'field_delimiter: ,' -H 'record_delimiter: \n' -F 'upload=@"./books.csv"'
+curl -XPUT 'http://root:@127.0.0.1:8000/v1/streaming_load' -H 'insert_sql: insert into book_db.books format CSV' -H 'skip_header: 0' -H 'field_delimiter: ,' -H 'record_delimiter: \n' -F 'upload=@"./books.csv"'
 ```
 
 Response Example:
@@ -101,7 +101,7 @@ CREATE TABLE bookcomments
 Create and send the API request with the following scripts:
 
 ```bash
-curl -XPUT 'http://root:@127.0.0.1:8081/v1/streaming_load' -H 'insert_sql: insert into book_db.bookcomments(title,author,date)format CSV' -H 'skip_header: 0' -H 'field_delimiter: ,' -H 'record_delimiter: \n' -F 'upload=@"./books.csv"'
+curl -XPUT 'http://root:@127.0.0.1:8000/v1/streaming_load' -H 'insert_sql: insert into book_db.bookcomments(title,author,date)format CSV' -H 'skip_header: 0' -H 'field_delimiter: ,' -H 'record_delimiter: \n' -F 'upload=@"./books.csv"'
 ```
 
 Notice that the `insert_sql` part above specifies the columns (title, author, and date) to match the loaded data.
diff --git a/docs/doc/13-sql-reference/70-system-tables/system-tracing.md b/docs/doc/13-sql-reference/70-system-tables/system-tracing.md
@@ -9,7 +9,7 @@ SELECT * FROM system.tracing LIMIT 1\G
 *************************** 1. row ***************************
        v: 0
     name: databend-query-test_cluster@0.0.0.0:3307
-     msg: Config { config_file: "scripts/ci/deploy/config/databend-query-node-1.toml", query: QueryConfig { tenant_id: "test_tenant", cluster_id: "test_cluster", num_cpus: 10, mysql_handler_host: "0.0.0.0", mysql_handler_port: 3307, max_active_sessions: 256, max_memory_usage: 0, clickhouse_handler_host: "0.0.0.0", clickhouse_handler_port: 9001, clickhouse_http_handler_host: "0.0.0.0", clickhouse_http_handler_port: 8125, http_handler_host: "0.0.0.0", http_handler_port: 8001, http_handler_result_timeout_millis: 10000, flight_api_address: "0.0.0.0:9091", admin_api_address: "0.0.0.0:8081", metric_api_address: "0.0.0.0:7071", http_handler_tls_server_cert: "", http_handler_tls_server_key: "", http_handler_tls_server_root_ca_cert: "", api_tls_server_cert: "", api_tls_server_key: "", api_tls_server_root_ca_cert: "", rpc_tls_server_cert: "", rpc_tls_server_key: "", rpc_tls_query_server_root_ca_cert: "", rpc_tls_query_service_domain_name: "localhost", table_engine_memory_enabled: true, database_engine_github_enabled: true, wait_timeout_mills: 5000, max_query_log_size: 10000, table_cache_enabled: true, table_cache_snapshot_count: 256, table_cache_segment_count: 10240, table_cache_block_meta_count: 102400, table_memory_cache_mb_size: 1024, table_disk_cache_root: "_cache", table_disk_cache_mb_size: 10240, management_mode: false, jwt_key_file: "" }, log: LogConfig { log_level: "INFO", log_dir: "./_logs", log_query_enabled: false }, meta: {meta_address: "0.0.0.0:9191", meta_user: "root", meta_password: "******"}, storage: StorageConfig { storage_type: "disk", storage_num_cpus: 0, disk: FsStorageConfig { data_path: "stateless_test_data", temp_data_path: "" }, s3: {s3.storage.region: "", s3.storage.endpoint_url: "https://s3.amazonaws.com", s3.storage.bucket: "", s3.storage.access_key_id: "", s3.storage.secret_access_key: "", }, azure_storage_blob: {Azure.storage.container: "", } } }
+     msg: Config { config_file: "scripts/ci/deploy/config/databend-query-node-1.toml", query: QueryConfig { tenant_id: "test_tenant", cluster_id: "test_cluster", num_cpus: 10, mysql_handler_host: "0.0.0.0", mysql_handler_port: 3307, max_active_sessions: 256, max_memory_usage: 0, clickhouse_handler_host: "0.0.0.0", clickhouse_handler_port: 9001, clickhouse_http_handler_host: "0.0.0.0", clickhouse_http_handler_port: 8125, http_handler_host: "0.0.0.0", http_handler_port: 8001, http_handler_result_timeout_millis: 10000, flight_api_address: "0.0.0.0:9091", admin_api_address: "0.0.0.0:8000", metric_api_address: "0.0.0.0:7071", http_handler_tls_server_cert: "", http_handler_tls_server_key: "", http_handler_tls_server_root_ca_cert: "", api_tls_server_cert: "", api_tls_server_key: "", api_tls_server_root_ca_cert: "", rpc_tls_server_cert: "", rpc_tls_server_key: "", rpc_tls_query_server_root_ca_cert: "", rpc_tls_query_service_domain_name: "localhost", table_engine_memory_enabled: true, database_engine_github_enabled: true, wait_timeout_mills: 5000, max_query_log_size: 10000, table_cache_enabled: true, table_cache_snapshot_count: 256, table_cache_segment_count: 10240, table_cache_block_meta_count: 102400, table_memory_cache_mb_size: 1024, table_disk_cache_root: "_cache", table_disk_cache_mb_size: 10240, management_mode: false, jwt_key_file: "" }, log: LogConfig { log_level: "INFO", log_dir: "./_logs", log_query_enabled: false }, meta: {meta_address: "0.0.0.0:9191", meta_user: "root", meta_password: "******"}, storage: StorageConfig { storage_type: "disk", storage_num_cpus: 0, disk: FsStorageConfig { data_path: "stateless_test_data", temp_data_path: "" }, s3: {s3.storage.region: "", s3.storage.endpoint_url: "https://s3.amazonaws.com", s3.storage.bucket: "", s3.storage.access_key_id: "", s3.storage.secret_access_key: "", }, azure_storage_blob: {Azure.storage.container: "", } } }
    level: 30
 hostname: localhost
      pid: 24640
diff --git a/docs/doc/21-use-cases/05-analyze-hits-dataset-with-databend.md b/docs/doc/21-use-cases/05-analyze-hits-dataset-with-databend.md
@@ -47,7 +47,7 @@ gzip -d hits_1m.csv.gz
 ```
 
 ```shell title='Load CSV files into Databend'
-curl -H "insert_sql:insert into hits format TSV"  -F  "upload=@./hits_1m.tsv"  -XPUT http://user1:abc123@127.0.0.1:8081/v1/streaming_load
+curl -H "insert_sql:insert into hits format TSV"  -F  "upload=@./hits_1m.tsv"  -XPUT http://user1:abc123@127.0.0.1:8000/v1/streaming_load
 ```
 
 ## Step 3. Queries
diff --git a/docs/doc/90-contributing/03-rfcs/20220704-presign.md b/docs/doc/90-contributing/03-rfcs/20220704-presign.md
@@ -14,7 +14,7 @@ Add a new SQL statement for `PRESIGN`, so users can generate a presigned URL for
 
 Databend supports [loading data](https://databend.rs/doc/load-data) via internal stage:
 
-- Call HTTP API `upload_to_stage` to upload files: `curl -H "stage_name:my_int_stage" -F "upload=@./books.csv" -XPUT http://localhost:8081/v1/upload_to_stage`
+- Call HTTP API `upload_to_stage` to upload files: `curl -H "stage_name:my_int_stage" -F "upload=@./books.csv" -XPUT http://localhost:8000/v1/upload_to_stage`
 - Call `COPY INTO` to copy data: `COPY INTO books FROM '@my_int_stage'`
 
 This workflow's throughput is limited by databend's HTTP API: `upload_to_stage`. We can improve the throughput by allowing users to upload to our backend storage directly. For example, we can use [AWS Authenticating Requests: Using Query Parameters](https://docs.aws.amazon.com/AmazonS3/latest/API/sigv4-query-string-auth.html) to generate a presigned URL. This way, users upload content to AWS s3 directly without going through the databend.
