H2O Import files via REST API from local server fails - h2o

Question

I am trying to use h2o REST API to import CSV files that I have on my local server.
Command:
curl -v -X GET
'http://127.0.0.1:54321/3/ImportFiles?path=http://127.0.0.1:8083/datasets/tables/csv/RDsTWgcvAjHeWJFnbhCKTCE5rn6aLCjJ.csv'
Result in following log:
Trying 127.0.0.1... Connected to 127.0.0.1 (127.0.0.1) port 54321 (#0)
GET
/3/ImportFiles?path=http://127.0.0.1:8083/datasets/tables/csv/RDsTWgcvAjHeWJFnbhCKTCE5rn6aLCjJ.csv HTTP/1.1 Host: 127.0.0.1:54321 User-Agent: curl/7.47.0 Accept: /
HTTP/1.1 200 OK X-h2o-build-project-version: 3.16.0.2
X-h2o-rest-api-version-max: 3 X-h2o-cluster-id: 1512722051559
X-h2o-cluster-good: true X-h2o-context-path: / Content-Type:
application/json Content-Length: 349 Server: Jetty(8.y.z-SNAPSHOT)
Connection #0 to host 127.0.0.1 left intact
{"__meta":{"schema_version":3,"schema_name":"ImportFilesV3","schema_type":"ImportFiles"},"_exclude_fields":"","path":"http://127.0.0.1:8083/datasets/tables/csv/RDsTWgcvAjHeWJFnbhCKTCE5rn6aLCjJ.csv","pattern":null,"files":[],"destination_frames":[],"fails":["http://127.0.0.1:8083/datasets/tables/csv/RDsTWgcvAjHeWJFnbhCKTCE5rn6aLCjJ.csv"],"dels":[]}
H2O log on TRACE level shows only:
12-08 15:41:59.951 10.8.128.101:54321 36013 #4756-331 INFO: GET
/3/ImportFiles, parms:
{path=http://127.0.0.1:8083/datasets/tables/csv/RDsTWgcvAjHeWJFnbhCKTCE5rn6aLCjJ.csv}
Is there any way to debug while importing fails? h2o does not asking local server at all.
Commands from other servers work well:
curl -v -X GET "http://127.0.0.1:54321/3/ImportFiles?path=http://s3.amazonaws.com/h2o-public-test-data/smalldata/flow_examples/arrhythmia.csv.gz"
curl -v -X GET "https://raw.github.com/h2oai/h2o/master/smalldata/logreg/prostate.csv"

Answer 1

In general, trying to interact directly with the H2O REST API isn't easy. The vast majority of people use a pre-made API client like Python or R.
But if you really want to do this, I would debug it by comparing with something that's working. Like the R client for H2O.
Write an R program that does this:
h2o.init()
h2o.startLogging()
h2o.importFile("/path/to/data.csv")
The startLogging() call will produce a detailed log file with all the REST API requests and responses. Look at that and try to mimic it.
You can also refer to the autogenerated REST API documentation (http://docs.h2o.ai/h2o/latest-stable/h2o-docs/rest-api-reference.html), but I would caution that if you tried to write a working client just based on the docs it would be hard.
Looking at a logged conversation from an already working client is by far your best bet.

Answer 2

library(h2o)
h2o.init()
h2o.startLogging()
h2o.importFile("http://localhost:8082/datasets/tables/csv/vPrzC5TOQr6JTvnAYrU5AKyz8SP4ao8p.csv")
Time: 2017-12-11 11:55:09.237
GET http://localhost:54321/3/Cloud?skip_ticks=true postBody:
curlError: FALSE curlErrorMessage: httpStatusCode: 200
httpStatusMessage: OK millis: 7
{"__meta":{"schema_version":3,"schema_name":"CloudV3","schema_type":"Iced"},"_exclude_fields":"","skip_ticks":true,"version":"3.16.0.2","branch_name":"rel-wheeler","build_number":"2","build_age":"10 days","build_too_old":false,"node_idx":0,"cloud_name":"H2O_started_from_R_vasiliy_gey658","cloud_size":1,"cloud_uptime_millis":306486,"cloud_healthy":true,"bad_nodes":0,"consensus":true,"locked":true,"is_client":false,"nodes":[{"__meta":{"schema_version":3,"schema_name":"NodeV3","schema_type":"Iced"},"h2o":"localhost/127.0.0.1:54321","ip_port":"127.0.0.1:54321","healthy":true,"last_ping":1512982506643,"pid":97891,"num_cpus":4,"cpus_allowed":4,"nthreads":4,"sys_load":2.0917969,"my_cpu_pct":-1,"sys_cpu_pct":-1,"mem_value_size":17408,"pojo_mem":12224512,"free_mem":1896688640,"max_mem":1908930560,"swap_mem":0,"num_keys":56,"free_disk":0,"max_disk":0,"rpcs_active":0,"fjthrds":[-1,1,1,1,1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,1,-1,1,0,0,0,0,0,0,0],"fjqueue":[-1,0,0,0,0,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,0,-1,0,0,0,0,0,0,0,0],"tcps_active":0,"open_fds":-1,"gflops":4.598999977111816,"mem_bw":6.423728128E9}],"internal_security_enabled":false}
Time: 2017-12-11 11:55:09.251
GET
http://localhost:54321/3/ImportFiles?path=http%3A%2F%2Flocalhost%3A8082%2Fdatasets%2Ftables%2Fcsv%2FvPrzC5TOQr6JTvnAYrU5AKyz8SP4ao8p.csv&pattern=
postBody:
curlError: FALSE curlErrorMessage: httpStatusCode: 200
httpStatusMessage: OK millis: 6
{"__meta":{"schema_version":3,"schema_name":"ImportFilesV3","schema_type":"ImportFiles"},"_exclude_fields":"","path":"http://localhost:8082/datasets/tables/csv/vPrzC5TOQr6JTvnAYrU5AKyz8SP4ao8p.csv","pattern":"","files":[],"destination_frames":[],"fails":["http://localhost:8082/datasets/tables/csv/vPrzC5TOQr6JTvnAYrU5AKyz8SP4ao8p.csv"],"dels":[]}

Answer 3

This is my import information.