Streaming Load
Load data into a table using HTTP streaming API.
HTTP Streaming Load​
Syntax​
curl -u user:passwd -H <options> -F "upload=@<files_location>" -XPUT http://localhost:8001/v1/streaming_load
Parameters​
options: key value options, supported options:insert_sql,field_delimiter,record_delimiter,skip_headerinsert_sql: must be specified in options, eg:insert into table_name (a,b,c) format CSVfiles_location: local file path, eg:/tmp/data.csv
Notes
Currently, only csv format is supported for streaming load.
Response​
{
"id": "af101056-116a-4c3a-b42b-0c56ade3885d", // unique id for this load
"state": "SUCCESS", // load state
"stats": { // progress stats
"read_rows": 371357,
"read_bytes": 271086978,
"total_rows_to_read": 0
},
"error": null // error msg
}
Examples​
1. Download OnTime raw data​
Download raw data to /tmp/dataset:
wget -P /tmp/ https://repo.databend.rs/dataset/stateful/ontime.csv
2. Build databend-query​
make build
3. Setting up Databend server​
./target/release/databend-query
2021-12-22T08:49:15.182736Z INFO databend_query: Config { config_file: "", query: QueryConfig { tenant_id: "", cluster_id: "", num_cpus: 16, mysql_handler_host: "127.0.0.1", mysql_handler_port: 3307, max_active_sessions: 256, clickhouse_handler_host: "127.0.0.1", clickhouse_handler_port: 9000, http_handler_host: "127.0.0.1", http_handler_port: 8000, flight_api_address: "127.0.0.1:9090", http_api_address: "127.0.0.1:8080", metric_api_address: "127.0.0.1:7070", 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_csv_enabled: false, table_engine_parquet_enabled: false, table_engine_memory_enabled: true, database_engine_github_enabled: true, wait_timeout_mills: 5000, max_query_log_size: 10000, table_cache_enabled: false, table_memory_cache_mb_size: 256, table_disk_cache_root: "_cache", table_disk_cache_mb_size: 1024 }, log: LogConfig { log_level: "INFO", log_dir: "./_logs" }, meta: {meta_address: "", meta_user: "", meta_password: "******"}, storage: StorageConfig { storage_type: "disk", disk: DiskStorageConfig { data_path: "_data", temp_data_path: "" }, s3: {s3.storage.region: "", s3.storage.endpoint_url: "", s3.storage.bucket: "", }, azure_storage_blob: {Azure.storage.container: "", } } }
2021-12-22T08:49:15.182815Z INFO databend_query: DatabendQuery v-0.1.0-edbe0d4-simd(1.59.0-nightly-2021-12-22T03:01:13.951230282+00:00)
2021-12-22T08:49:15.182914Z INFO databend_query::catalogs::impls::mutable_catalog: use embedded meta
2021-12-22T08:49:15.185035Z INFO databend_query: MySQL handler listening on 127.0.0.1:3307, Usage: mysql -h127.0.0.1 -P3307
2021-12-22T08:49:15.185756Z INFO databend_query: ClickHouse handler listening on 127.0.0.1:9000, Usage: clickhouse-client --host 127.0.0.1 --port 9000
2021-12-22T08:49:15.186376Z INFO databend_query: Http handler listening on 127.0.0.1:8000 examples:
curl --request POST '127.0.0.1:8000/v1/statement/' --header 'Content-Type: text/plain' --data-raw 'SELECT avg(number) FROM numbers(100000000)'
curl --request POST '127.0.0.1:8000/v1/query/' --header 'Content-Type: application/json' --data-raw '{"sql": "SELECT avg(number) FROM numbers(100000000)"}'
2021-12-22T08:49:15.186534Z INFO databend_query: Metric API server listening on 127.0.0.1:7070
2021-12-22T08:49:15.186518Z INFO poem::server: listening addr=socket://127.0.0.1:8000
2021-12-22T08:49:15.186675Z WARN databend_query::api::http_service: Http API TLS not set
2021-12-22T08:49:15.186693Z INFO poem::server: listening addr=socket://127.0.0.1:7070
2021-12-22T08:49:15.186658Z INFO poem::server: server started
2021-12-22T08:49:15.186770Z INFO poem::server: server started
2021-12-22T08:49:15.187045Z INFO databend_query: HTTP API server listening on 127.0.0.1:8080
2021-12-22T08:49:15.187105Z INFO databend_query: RPC API server listening on 127.0.0.1:9090
2021-12-22T08:49:15.187115Z INFO poem::server: listening addr=socket://127.0.0.1:8080
2021-12-22T08:49:15.187146Z INFO poem::server: server started
2021-12-22T08:49:15.188753Z INFO databend_query: Databend query has been registered:"" to metasrv:[""].
2021-12-22T08:49:15.188805Z INFO databend_query: Ready for connections.
4. Create the ontime table​
mysql -h127.0.0.1 -uroot -P3307
CREATE TABLE ontime
(
Year UInt16,
Quarter UInt8,
Month UInt8,
DayofMonth UInt8,
DayOfWeek UInt8,
FlightDate Date,
Reporting_Airline String,
DOT_ID_Reporting_Airline Int32,
IATA_CODE_Reporting_Airline String,
Tail_Number String,
Flight_Number_Reporting_Airline String,
OriginAirportID Int32,
OriginAirportSeqID Int32,
OriginCityMarketID Int32,
Origin String,
OriginCityName String,
OriginState String,
OriginStateFips String,
OriginStateName String,
OriginWac Int32,
DestAirportID Int32,
DestAirportSeqID Int32,
DestCityMarketID Int32,
Dest String,
DestCityName String,
DestState String,
DestStateFips String,
DestStateName String,
DestWac Int32,
CRSDepTime Int32,
DepTime Int32,
DepDelay Int32,
DepDelayMinutes Int32,
DepDel15 Int32,
DepartureDelayGroups String,
DepTimeBlk String,
TaxiOut Int32,
WheelsOff Int32,
WheelsOn Int32,
TaxiIn Int32,
CRSArrTime Int32,
ArrTime Int32,
ArrDelay Int32,
ArrDelayMinutes Int32,
ArrDel15 Int32,
ArrivalDelayGroups Int32,
ArrTimeBlk String,
Cancelled UInt8,
CancellationCode String,
Diverted UInt8,
CRSElapsedTime Int32,
ActualElapsedTime Int32,
AirTime Int32,
Flights Int32,
Distance Int32,
DistanceGroup UInt8,
CarrierDelay Int32,
WeatherDelay Int32,
NASDelay Int32,
SecurityDelay Int32,
LateAircraftDelay Int32,
FirstDepTime String,
TotalAddGTime String,
LongestAddGTime String,
DivAirportLandings String,
DivReachedDest String,
DivActualElapsedTime String,
DivArrDelay String,
DivDistance String,
Div1Airport String,
Div1AirportID Int32,
Div1AirportSeqID Int32,
Div1WheelsOn String,
Div1TotalGTime String,
Div1LongestGTime String,
Div1WheelsOff String,
Div1TailNum String,
Div2Airport String,
Div2AirportID Int32,
Div2AirportSeqID Int32,
Div2WheelsOn String,
Div2TotalGTime String,
Div2LongestGTime String,
Div2WheelsOff String,
Div2TailNum String,
Div3Airport String,
Div3AirportID Int32,
Div3AirportSeqID Int32,
Div3WheelsOn String,
Div3TotalGTime String,
Div3LongestGTime String,
Div3WheelsOff String,
Div3TailNum String,
Div4Airport String,
Div4AirportID Int32,
Div4AirportSeqID Int32,
Div4WheelsOn String,
Div4TotalGTime String,
Div4LongestGTime String,
Div4WheelsOff String,
Div4TailNum String,
Div5Airport String,
Div5AirportID Int32,
Div5AirportSeqID Int32,
Div5WheelsOn String,
Div5TotalGTime String,
Div5LongestGTime String,
Div5WheelsOff String,
Div5TailNum String
) ENGINE = FUSE;
5. Load raw data into ontime table​
curl -H "insert_sql:insert into ontime format CSV" -H "skip_header:1" -F "upload=@/tmp/ontime.csv" -XPUT http://localhost:8000/v1/streaming_load
6. Queries​
Notes
Example query result is based on ontime 1987-2021 datasets(60GB+), not databend small dataset.
Q0​
mysql> SELECT DayOfWeek, count(*) AS c FROM ontime WHERE Year >= 2000 AND Year <= 2008 GROUP BY DayOfWeek ORDER BY c DESC;
+-----------+---------+
| DayOfWeek | c |
+-----------+---------+
| 5 | 8732422 |
| 1 | 8730614 |
| 4 | 8710843 |
| 3 | 8685626 |
| 2 | 8639632 |
| 7 | 8274367 |
| 6 | 7514194 |
+-----------+---------+
Q1​
mysql> SELECT DayOfWeek, count(*) AS c FROM ontime WHERE DepDelay>10 AND Year >= 2000 AND Year <= 2008 GROUP BY DayOfWeek ORDER BY c DESC;
+-----------+---------+
| DayOfWeek | c |
+-----------+---------+
| 5 | 2175733 |
| 4 | 2012848 |
| 1 | 1898879 |
| 7 | 1880896 |
| 3 | 1757508 |
| 2 | 1665303 |
| 6 | 1510894 |
+-----------+---------+
Q2​
mysql> SELECT Origin, count(*) AS c FROM ontime WHERE DepDelay>10 AND Year >= 2000 AND Year <= 2008 GROUP BY Origin ORDER BY c DESC LIMIT 10;
+--------+--------+
| Origin | c |
+--------+--------+
| ORD | 860911 |
| ATL | 831822 |
| DFW | 614403 |
| LAX | 402671 |
| PHX | 400475 |
| LAS | 362026 |
| DEN | 352893 |
| EWR | 302267 |
| DTW | 296832 |
| IAH | 290729 |
+--------+--------+
Q3​
mysql> SELECT IATA_CODE_Reporting_Airline AS Carrier, count() FROM ontime WHERE DepDelay>10 AND Year = 2007 GROUP BY Carrier ORDER BY count() DESC;
+---------+---------+
| Carrier | count() |
+---------+---------+
| WN | 296451 |
| AA | 179769 |
| MQ | 152293 |
| OO | 147019 |
| US | 140199 |
| UA | 135061 |
| XE | 108571 |
| EV | 104055 |
| NW | 102206 |
| DL | 98427 |
| CO | 81039 |
| YV | 79553 |
| FL | 64583 |
| OH | 60532 |
| AS | 54326 |
| B6 | 53716 |
| 9E | 48578 |
| F9 | 24100 |
| AQ | 6764 |
| HA | 4059 |
+---------+---------+
Q4​
mysql> SELECT IATA_CODE_Reporting_Airline AS Carrier, avg(cast(DepDelay>10, Int))*1000 AS c3 FROM ontime WHERE Year=2007 GROUP BY Carrier ORDER BY c3 DESC;
+---------+--------------------+
| Carrier | c3 |
+---------+--------------------+
| EV | 375.22447478309783 |
| AS | 344.6600093895522 |
| US | 294.22356533509617 |
| MQ | 294.17116410599147 |
| AA | 291.8645372142749 |
| B6 | 286.11910088420154 |
| UA | 282.5112482821661 |
| YV | 281.03152874679853 |
| OH | 266.51990137372314 |
| XE | 256.07998622553794 |
| WN | 255.80863559408323 |
| CO | 253.08869456589633 |
| OO | 251.8768395769016 |
| NW | 251.29821593658414 |
| FL | 247.8651504277375 |
| F9 | 247.5298371027711 |
| DL | 209.7011300301682 |
| 9E | 193.60572631041958 |
| AQ | 147.1330375010876 |
| HA | 72.56377710638755 |
+---------+--------------------+
Q5​
mysql> SELECT IATA_CODE_Reporting_Airline AS Carrier, avg(cast(DepDelay>10, Int))*1000 AS c3 FROM ontime WHERE Year>=2000 AND Year <=2008 GROUP BY Carrier ORDER BY c3 DESC;
+---------+--------------------+
| Carrier | c3 |
+---------+--------------------+
| AS | 300.16054129040174 |
| EV | 290.38981458284934 |
| YV | 280.2119596805801 |
| B6 | 260.37899104450076 |
| MQ | 255.53357961252766 |
| XE | 252.9195476037731 |
| FL | 251.8442154957222 |
| WN | 235.84250684474472 |
| DH | 234.6173854586053 |
| UA | 230.5225780592861 |
| F9 | 227.28181321845082 |
| OH | 222.69791588865388 |
| AA | 217.1668568387609 |
| US | 211.46089212168485 |
| HP | 209.72498201847765 |
| OO | 206.7869938260996 |
| NW | 195.14773751954678 |
| TW | 192.83579347949788 |
| DL | 192.0257041477902 |
| CO | 189.97455773567307 |
| 9E | 186.99556442451123 |
| RU | 185.12495614348302 |
| TZ | 178.87275426586388 |
| AQ | 148.38594731563109 |
| HA | 79.77123428701232 |
+---------+--------------------+
Q6​
mysql> SELECT IATA_CODE_Reporting_Airline AS Carrier, avg(DepDelay) * 1000 AS c3 FROM ontime WHERE Year >= 2000 AND Year <= 2008 GROUP BY Carrier;
+---------+--------------------+
| Carrier | c3 |
+---------+--------------------+
| OH | 13076.047727826812 |
| OO | 11850.612432410993 |
| AQ | 7460.374544686692 |
| TW | 11080.878345056713 |
| AS | 15092.753681433545 |
| AA | 13839.899526869556 |
| B6 | 16983.6611696882 |
| CO | 12824.261901022188 |
| DH | 15818.094685863602 |
| US | 12147.763005018298 |
| HP | 11875.281344265648 |
| NW | 11925.914608626837 |
| 9E | 13477.094055933694 |
| HA | 6884.741502804615 |
| F9 | 11292.37461327096 |
| RU | 12809.675911982687 |
| WN | 10595.506511109697 |
| FL | 15348.271252597235 |
| DL | 11187.216291143079 |
| TZ | 12760.000582204906 |
| MQ | 14710.31183749049 |
| XE | 17531.281432904856 |
| UA | 14990.54869123628 |
| YV | 18624.374635216514 |
| EV | 16857.624838267257 |
+---------+--------------------+
Q7​
mysql> SELECT Year, avg(DepDelay) FROM ontime GROUP BY Year;
+------+--------------------+
| Year | avg(DepDelay) |
+------+--------------------+
| 1989 | 8.950126987226787 |
| 1997 | 10.101709232830519 |
| 2016 | 14.811187637756063 |
| 1990 | 8.046787398904078 |
| 2003 | 9.933812071292147 |
| 2006 | 14.48459327850703 |
| 1996 | 11.418927577900188 |
| 2012 | 13.321426252180064 |
| 1993 | 7.293806838865011 |
| 1988 | 7.404806128694523 |
| 2001 | 11.334588087470902 |
| 2019 | 17.28629620126477 |
| 1995 | 9.492405926429607 |
| 2002 | 10.103424252854664 |
| 2005 | 12.842189075686619 |
| 2008 | 14.945066707092563 |
| 2010 | 13.429455604020601 |
| 1987 | 8.731817193324877 |
| 2007 | 15.771928299771517 |
| 2011 | 13.748676536097841 |
| 2000 | 13.916001963040324 |
| 2014 | 15.84793619315476 |
| 1994 | 7.860020949256333 |
| 2018 | 16.42888727112437 |
| 2013 | 15.11882775513273 |
| 2004 | 12.154611296158416 |
| 1991 | 7.000398734856221 |
| 1992 | 6.757480025582812 |
| 1998 | 11.184470780953138 |
| 2021 | 15.705075632651738 |
| 2020 | 11.29906259676009 |
| 2009 | 13.3450648740797 |
| 2017 | 15.927763332462206 |
| 1999 | 11.89956719672367 |
| 2015 | 14.858317724666252 |
+------+--------------------+
Q8​
mysql> SELECT Year, COUNT(*) AS c1 FROM ontime GROUP BY Year;
+------+---------+
| Year | c1 |
+------+---------+
| 2019 | 7422037 |
| 2016 | 5617658 |
| 1999 | 5527884 |
| 2012 | 6096762 |
| 2013 | 6369482 |
| 1988 | 4760978 |
| 1997 | 5411843 |
| 1991 | 5076925 |
| 1994 | 5180048 |
| 2007 | 7455458 |
| 1995 | 5327435 |
| 2021 | 4331165 |
| 2009 | 6450285 |
| 2018 | 7213446 |
| 2003 | 6488540 |
| 2004 | 7129270 |
| 1998 | 5384721 |
| 2002 | 5271359 |
| 2006 | 7141922 |
| 1990 | 5270893 |
| 2001 | 5967780 |
| 2014 | 5819811 |
| 2015 | 5819079 |
| 1987 | 1311826 |
| 2017 | 5674621 |
| 2011 | 6085281 |
| 1996 | 5351983 |
| 1989 | 5041200 |
| 2008 | 7009726 |
| 1993 | 5070501 |
| 2020 | 4688354 |
| 2000 | 5683047 |
| 1992 | 5092157 |
| 2005 | 7140596 |
| 2010 | 6450117 |
+------+---------+
Q9​
mysql> SELECT avg(cnt) FROM (SELECT Year,Month,count(*) AS cnt FROM ontime WHERE DepDel15=1 GROUP BY Year,Month);
+-------------------+
| avg(cnt) |
+-------------------+
| 81330.11302211302 |
+-------------------+
Q10​
mysql> **SELECT avg(c1) FROM (SELECT Year, Month, count(*) AS c1 FROM ontime GROUP BY Year, Month)**;
+------------------+
| avg(c1) |
+------------------+
| 494187.199017199 |
+------------------+
Q11​
mysql> SELECT OriginCityName, DestCityName, count(*) AS c FROM ontime GROUP BY OriginCityName, DestCityName ORDER BY c DESC LIMIT 10;
+-----------------------------------+----------------------------------+--------+
| OriginCityName | DestCityName | c |
+-----------------------------------+----------------------------------+--------+
| San Francisco, CALos Angeles, CA | an Francisco, CALos Angeles, CA | 515142 |
| Los Angeles, CASan Francisco, CA | os Angeles, CASan Francisco, CA | 512226 |
| New York, NY
Chicago, IL | ew York, NY
Chicago, IL | 454454 |
| Chicago, ILNew York, NY | hicago, ILNew York, NY | 447130 |
| Chicago, ILMinneapolis, MN | hicago, ILMinneapolis, MN | 437056 |
| Minneapolis, MN
Chicago, IL | inneapolis, MN
Chicago, IL | 432832 |
Las Vegas, NV | 428568 |es, CA
| Las Vegas, NVLos Angeles, CA | as Vegas, NVLos Angeles, CA | 422558 |
| New York, NY
Boston, MA | ew York, NY
Boston, MA | 418789 |
| Boston, MANew York, NY | oston, MANew York, NY | 415559 |
+-----------------------------------+----------------------------------+--------+
Q12​
mysql> SELECT OriginCityName, count(*) AS c FROM ontime GROUP BY OriginCityName ORDER BY c DESC LIMIT 10;
+-----------------------+----------+
| OriginCityName | c |
+-----------------------+----------+
| Chicago, IL | 12508636 |
| Atlanta, GA | 10868334 |
| Dallas/Fort Worth, TX | 8978534 |
| Houston, TX | 6823982 |
| Los Angeles, CA | 6678142 |
| New York, NY | 6282096 |
| Denver, CO | 6252576 |
| Phoenix, AZ | 5638100 |
| Washington, DC | 4980743 |
| San Francisco, CA | 4665304 |
+-----------------------+----------+