The following transaction
https://explorer.near.org/transactions/CkZYiXB3BEoXNuLDqcn5GjErkXghKGCB47yPyyze4kTf#BPYU8T3o5mdsU4ewG3JdCLRe8ivpsGTehKxkifFAsboD
failed whith the following error:
{
"type": "action",
"error": {
"type": "functionCallError",
"error": {
"type": "executionError",
"error": "Smart contract panicked: The contract is not initialized"
}
}
}
But what I got on the indexer is the following:
{
"outcome":{
"executionOutcome":{
"blockHash":"8NP4Z2i7CBQzRUxa8CfuummnYZvwfZaCFmif4d6mcgyB",
"id":"CkZYiXB3BEoXNuLDqcn5GjErkXghKGCB47yPyyze4kTf",
"outcome":{
"executorId":"test1.csandi.near",
"gasBurnt":2428211671420,
"logs":[
],
"metadata":{
"gasProfile":null,
"version":1
},
"receiptIds":[
"GrXdFKA9byvCmxGiQkGc9iaFn88FfePk4tfJhvcTGMwc"
],
"status":{
"SuccessReceiptId":"GrXdFKA9byvCmxGiQkGc9iaFn88FfePk4tfJhvcTGMwc"
},
"tokensBurnt":"242821167142000000000"
},
"proof":[
{
"direction":"Left",
"hash":"BWhmGBmvzbX3WBP1RZQ59DB749sHSV2xS5pNyF6xAbbh"
},
{
"direction":"Right",
"hash":"H4YMDcd9Fh68KTwyPTwYuFb89KhfdGUoxRbBYzDcNAze"
},
{
"direction":"Right",
"hash":"9jv152euKvurdVkDYS5FKiiT4ej6xL1gRYTHoNbjwEZi"
},
{
"direction":"Right",
"hash":"BqQFHzSYzqDE8tMQkJT8PHFGxLmQrkFBcuTqFP4nTjx7"
}
]
},
"receipt":null
},
"transaction":{
"actions":[
{
"FunctionCall":{
"args":"eyJpbml0aWFsX3ByaWNlIjoxLjksInNwYWNpbmciOjIsImFscGhhX2lkIjoidXNuIiwiYmV0YV9pZCI6IndyYXAubmVhciIsInN3YXBfZmVlX3JhdGUiOjAuMDAzLCJwcm90b2NvbF90b2xsIjowLjAxfQ==",
"deposit":"0",
"gas":200000000000000,
"methodName":"create_new_pool"
}
}
],
"hash":"CkZYiXB3BEoXNuLDqcn5GjErkXghKGCB47yPyyze4kTf",
"nonce":75627675000007,
"publicKey":"ed25519:85yAx5mY8DinTWQfMn47cZTHMhZtLRAWZLpazYmetwno",
"receiverId":"dev-cliquidity-perk-jorge.near",
"signature":"ed25519:1CieS8AUSc7Y3S8By8adJaEXXydXcjvSA1uVXPgrdhkmGPpf5ykA7XWqJGZnDhMtymkp6eWDBEQzsBXkhybAbUV",
"signerId":"test1.csandi.near"
}
}
So I would like to know if there is anyway to get the failure message from the indexer?
Look in the next blocks for the corresponding receipt from the SuccessReceiptId (id GrXdFKA9byvCmxGiQkGc9iaFn88FfePk4tfJhvcTGMwc), and in its execution outcome you will find that status.
I cannot recommend more to watch or read the Data Flow in NEAR
FYI, just to follow up and clarify for anyone with this question, after following the above response by "Vlad Frolov", in order to get the Receipt Status, I had to check
shard.receiptExecutionOutcomes
which will provide the results of the receipts, so I started to track the receipts that I am interested in, in this case for
SuccessReceiptId (GrXdFKA9byvCmxGiQkGc9iaFn88FfePk4tfJhvcTGMwc)
"executionOutcome":{
"blockHash":"59F5pES9Myc2VT4JkppE95epCwtGAXYux9okbzpsh95K",
"id":"**GrXdFKA9byvCmxGiQkGc9iaFn88FfePk4tfJhvcTGMwc**",
"outcome":{
"executorId":"dev-cliquidity-perk-jorge.near",
"gasBurnt":2824274578054,
"logs":[
],
"metadata":{
"gasProfile":[
{
"cost":"BASE",
"costCategory":"WASM_HOST_COST",
"gasUsed":"1323840555"
},
{
"cost":"CONTRACT_LOADING_BASE",
"costCategory":"WASM_HOST_COST",
"gasUsed":"35445963"
},
{
"cost":"CONTRACT_LOADING_BYTES",
"costCategory":"WASM_HOST_COST",
"gasUsed":"106584645000"
},
{
"cost":"READ_MEMORY_BASE",
"costCategory":"WASM_HOST_COST",
"gasUsed":"5219726400"
},
{
"cost":"READ_MEMORY_BYTE",
"costCategory":"WASM_HOST_COST",
"gasUsed":"136847988"
},
{
"cost":"READ_REGISTER_BASE",
"costCategory":"WASM_HOST_COST",
"gasUsed":"2517165186"
},
{
"cost":"READ_REGISTER_BYTE",
"costCategory":"WASM_HOST_COST",
"gasUsed":"11334630"
},
{
"cost":"STORAGE_READ_BASE",
"costCategory":"WASM_HOST_COST",
"gasUsed":"56356845750"
},
{
"cost":"STORAGE_READ_KEY_BYTE",
"costCategory":"WASM_HOST_COST",
"gasUsed":"154762665"
},
{
"cost":"TOUCHING_TRIE_NODE",
"costCategory":"WASM_HOST_COST",
"gasUsed":"193223471112"
},
{
"cost":"UTF8_DECODING_BASE",
"costCategory":"WASM_HOST_COST",
"gasUsed":"3111779061"
},
{
"cost":"UTF8_DECODING_BYTE",
"costCategory":"WASM_HOST_COST",
"gasUsed":"9038994849"
},
{
"cost":"WASM_INSTRUCTION",
"costCategory":"WASM_HOST_COST",
"gasUsed":"11928316488"
},
{
"cost":"WRITE_MEMORY_BASE",
"costCategory":"WASM_HOST_COST",
"gasUsed":"2803794861"
},
{
"cost":"WRITE_MEMORY_BYTE",
"costCategory":"WASM_HOST_COST",
"gasUsed":"313233780"
},
{
"cost":"WRITE_REGISTER_BASE",
"costCategory":"WASM_HOST_COST",
"gasUsed":"2865522486"
},
{
"cost":"WRITE_REGISTER_BYTE",
"costCategory":"WASM_HOST_COST",
"gasUsed":"437179860"
}
],
"version":1
},
"receiptIds":[
"BPYU8T3o5mdsU4ewG3JdCLRe8ivpsGTehKxkifFAsboD"
],
**"status":{
"Failure":{
"ActionError":{
"index":0,
"kind":{
"FunctionCallError":{
"ExecutionError":"Smart contract panicked: The contract is not initialized"
}
}
}
}**
},
"tokensBurnt":"282427457805400000000"
},
"proof":[
{
"direction":"Left",
"hash":"5j1RhLnf5jGChUPxU9CPNbAGwSn6VnzBw7taJe5vSnYD"
},
{
"direction":"Right",
"hash":"AJ2kARUcYAkzsL3xmw4jAETZ61jtQuswf7RvhSxscKCR"
},
{
"direction":"Left",
"hash":"9vXQjFdTaQw5XjUKsRK6N3WFCg5zMVca5Ze2Qqznn3AM"
}
] }, "receipt":{
"predecessorId":"test1.csandi.near",
"receipt":{
"Action":{
"actions":[
{
"FunctionCall":{
"args":"eyJpbml0aWFsX3ByaWNlIjoxLjksInNwYWNpbmciOjIsImFscGhhX2lkIjoidXNuIiwiYmV0YV9pZCI6IndyYXAubmVhciIsInN3YXBfZmVlX3JhdGUiOjAuMDAzLCJwcm90b2NvbF90b2xsIjowLjAxfQ==",
"deposit":"0",
"gas":200000000000000,
"methodName":"create_new_pool"
}
}
],
"gasPrice":"346069590",
"inputDataIds":[
],
"outputDataReceivers":[
],
"signerId":"test1.csandi.near",
"signerPublicKey":"ed25519:85yAx5mY8DinTWQfMn47cZTHMhZtLRAWZLpazYmetwno"
}
},
"receiptId":"GrXdFKA9byvCmxGiQkGc9iaFn88FfePk4tfJhvcTGMwc",
"receiverId":"dev-cliquidity-perk-jorge.near" } }
And as you can see in the json response,the following status:
"status":{
"Failure":{
"ActionError":{
"index":0,
"kind":{
"FunctionCallError":{
"ExecutionError":"Smart contract panicked: The contract is not initialized"
}
}
}
}
Anyway to fully understand how transactions/receipts work this document helped a lot.
We are using https://www.npmjs.com/package/botbuilder to build a bot for Microsoft Teams.
We have the following payload to create a card, which has an Input.ChoiceSet inside an Action.ShowCard card.
It works fine when I preview the card from the bar but it doesn't work after I send the card. Sometimes if I restart the MST client it works when I click on a card for the first time but then it doesn't work after that. Sometimes it never works, only from the preview.
It does work fine on Android but it doesn't work on Linux, Mac or web clients.
Here is a demo of the issue, https://www.loom.com/share/7cfec55b587941899cd66e1d896df065
And here is the payload. Try the Click me! button, which should display a dropdown.
{
"type":"message",
"attachments":[
{
"contentType":"application/vnd.microsoft.card.adaptive",
"content":{
"$schema":"http://adaptivecards.io/schemas/adaptive-card.json",
"type":"AdaptiveCard",
"version":"1.2",
"actions":[
{
"type":"Action.OpenUrl",
"title":"Action 1",
"url":"https://my.website.com"
},
{
"type":"Action.Submit",
"title":"Action 2",
"data":{
"command":"action 1",
"data":"asdasd"
}
},
{
"type":"Action.ShowCard",
"title":"Click me!",
"card":{
"type":"AdaptiveCard",
"version":"1.0",
"body":[
{
"type":"Input.ChoiceSet",
"id":"SelectUser",
"style":"compact",
"value":"1",
"choices":[
{
"title":"User 1",
"value":"1"
},
{
"title":"User 2",
"value":"2"
},
{
"title":"User 3",
"value":"3"
}
],
"height":"stretch",
"wrap":true,
"isMultiSelect":false
}
],
"actions":[
{
"type":"Action.Submit",
"title":"Action 3.1",
"data":{
"command":"action 3.1",
"data":"asdasd"
}
}
]
}
},
{
"type":"Action.ShowCard",
"title":"Action 4",
"card":{
"type":"AdaptiveCard",
"body":[
{
"type":"Input.Text",
"label":"Enter comment",
"style":"text",
"id":"text",
"isMultiline":true,
"placeholder":"Enter your comment"
}
],
"actions":[
{
"type":"Action.Submit",
"title":"Save",
"data":{
"command":"save",
"data":"asdasd"
}
}
]
}
}
],
"body":[
{
"type":"TextBlock",
"size":"medium",
"weight":"bolder",
"text":"text... text... text",
"wrap":true
},
{
"type":"ColumnSet",
"columns":[
{
"type":"Column",
"width":"auto",
"items":[
{
"type":"Image",
"style":"Person",
"url":"https://avatar.com/avatar.png",
"size":"small"
}
]
},
{
"type":"Column",
"width":"stretch",
"items":[
{
"type":"TextBlock",
"weight":"lighter",
"text":"text... text... text",
"wrap":true
},
{
"type":"TextBlock",
"spacing":"None",
"text":"text... text... text",
"isSubtle":true,
"wrap":true
}
]
}
]
},
{
"type":"Container",
"items":[
{
"columns":[
{
"spacing":"small",
"width":"auto",
"verticalContentAlignment":"Center",
"type":"Column",
"selectAction":{
"targetElements":[
"fields-content",
"showFields",
"hideFields"
],
"type":"Action.ToggleVisibility",
"title":"expand"
},
"items":[
{
"type":"TextBlock",
"id":"showFields",
"horizontalAlignment":"Left",
"color":"Accent",
"text":"Show fields",
"wrap":true
},
{
"type":"TextBlock",
"id":"hideFields",
"horizontalAlignment":"Left",
"color":"Accent",
"text":"Hide fields",
"wrap":true,
"isVisible":false
}
]
}
],
"type":"ColumnSet"
},
{
"id":"fields-content",
"isVisible":false,
"type":"Container",
"items":[
{
"type":"FactSet",
"facts":[
{
"title":"title",
"value":"value"
}
]
}
]
}
]
}
]
}
}
]
}
Currently we don't have the sample code in nodejs.Agree with you problem in using node library. I too tested with your payload.
I currently want to index 132 Million documents over at my ES services hosted in aws ec2, I was able to do 98 Million, during a week.
I noticed that indexing speed progressively decreased as the index grew in size, its currently sitting at 44GB.
I tried pausing the process, and resuming it from certain points, but the speed was definitely not consistent.
Is there a relation between index size and document indexing speed?
Would appreciate a tip on how to improve index speed in these case, if possible guys, thanks in advance.
Cluster Settings
{
"persistent":{
},
"transient":{
},
"defaults":{
"cluster":{
"routing":{
"use_adaptive_replica_selection":"false",
"rebalance":{
"enable":"all"
},
"allocation":{
"node_concurrent_incoming_recoveries":"2",
"node_initial_primaries_recoveries":"4",
"same_shard":{
"host":"false"
},
"total_shards_per_node":"-1",
"type":"balanced",
"disk":{
"threshold_enabled":"true",
"watermark":{
"low":"85%",
"flood_stage":"95%",
"high":"90%"
},
"include_relocations":"true",
"reroute_interval":"60s"
},
"awareness":{
"attributes":[
]
},
"balance":{
"index":"0.55",
"threshold":"1.0",
"shard":"0.45"
},
"enable":"all",
"node_concurrent_outgoing_recoveries":"2",
"allow_rebalance":"indices_all_active",
"cluster_concurrent_rebalance":"2",
"node_concurrent_recoveries":"2"
}
},
"indices":{
"tombstones":{
"size":"500"
},
"close":{
"enable":"true"
}
},
"nodes":{
"reconnect_interval":"10s"
},
"persistent_tasks":{
"allocation":{
"enable":"all"
}
},
"blocks":{
"read_only_allow_delete":"false",
"read_only":"false"
},
"service":{
"slow_task_logging_threshold":"30s"
},
"name":"roseland",
"info":{
"update":{
"interval":"30s",
"timeout":"15s"
}
}
},
"no":{
"model":{
"state":{
"persist":"false"
}
}
},
"logger":{
"level":"INFO"
},
"bootstrap":{
"memory_lock":"false",
"system_call_filter":"false",
"ctrlhandler":"true"
},
"processors":"2",
"ingest":{
"grok":{
"watchdog":{
"max_execution_time":"1s",
"interval":"1s"
}
}
},
"network":{
"host":[
"_local:ipv4_",
"_eth0:ipv4_"
],
"tcp":{
"reuse_address":"true",
"keep_alive":"true",
"connect_timeout":"30s",
"receive_buffer_size":"-1b",
"no_delay":"true",
"send_buffer_size":"-1b"
},
"bind_host":[
"_local:ipv4_",
"_eth0:ipv4_"
],
"server":"true",
"breaker":{
"inflight_requests":{
"limit":"100%",
"overhead":"1.0"
}
},
"publish_host":[
"_local:ipv4_",
"_eth0:ipv4_"
]
},
"pidfile":"/var/run/elasticsearch/elasticsearch.pid",
"path":{
"data":[
"/data/elasticsearch"
],
"logs":"/var/log/elasticsearch",
"shared_data":"",
"home":"/usr/share/elasticsearch",
"repo":[
]
},
"search":{
"default_search_timeout":"-1",
"highlight":{
"term_vector_multi_value":"true"
},
"default_allow_partial_results":"true",
"max_buckets":"-1",
"low_level_cancellation":"false",
"keep_alive_interval":"1m",
"remote":{
"node":{
"attr":""
},
"initial_connect_timeout":"30s",
"connect":"true",
"connections_per_cluster":"3"
},
"default_keep_alive":"5m",
"max_keep_alive":"24h"
},
"security":{
"manager":{
"filter_bad_defaults":"true"
}
},
"repositories":{
"fs":{
"compress":"false",
"chunk_size":"9223372036854775807b",
"location":""
},
"url":{
"supported_protocols":[
"http",
"https",
"ftp",
"file",
"jar"
],
"allowed_urls":[
],
"url":"http:"
}
},
"action":{
"auto_create_index":"true",
"search":{
"shard_count":{
"limit":"9223372036854775807"
}
},
"destructive_requires_name":"false",
"master":{
"force_local":"false"
}
},
"client":{
"type":"node",
"transport":{
"ignore_cluster_name":"false",
"nodes_sampler_interval":"5s",
"sniff":"false",
"ping_timeout":"5s"
}
},
"xpack":{
"watcher":{
"execution":{
"scroll":{
"size":"0",
"timeout":""
},
"default_throttle_period":"5s"
},
"internal":{
"ops":{
"bulk":{
"default_timeout":""
},
"index":{
"default_timeout":""
},
"search":{
"default_timeout":""
}
}
},
"thread_pool":{
"queue_size":"1000",
"size":"10"
},
"index":{
"rest":{
"direct_access":""
}
},
"history":{
"cleaner_service":{
"enabled":"true"
}
},
"trigger":{
"schedule":{
"ticker":{
"tick_interval":"500ms"
}
}
},
"enabled":"true",
"input":{
"search":{
"default_timeout":""
}
},
"encrypt_sensitive_data":"false",
"transform":{
"search":{
"default_timeout":""
}
},
"stop":{
"timeout":"30s"
},
"watch":{
"scroll":{
"size":"0"
}
},
"require_manual_start":"false",
"actions":{
"bulk":{
"default_timeout":""
},
"index":{
"default_timeout":""
}
}
},
"license":{
"self_generated":{
"type":"basic"
}
},
"logstash":{
"enabled":"true"
},
"notification":{
"hipchat":{
"host":"",
"port":"443",
"default_account":""
},
"pagerduty":{
"default_account":""
},
"email":{
"default_account":"",
"html":{
"sanitization":{
"allow":[
"body",
"head",
"_tables",
"_links",
"_blocks",
"_formatting",
"img:embedded"
],
"disallow":[
],
"enabled":"true"
}
}
},
"reporting":{
"retries":"40",
"interval":"15s"
},
"jira":{
"default_account":""
},
"slack":{
"default_account":""
}
},
"security":{
"dls_fls":{
"enabled":"true"
},
"transport":{
"filter":{
"allow":[
],
"deny":[
],
"enabled":"true"
},
"ssl":{
"enabled":"false"
}
},
"enabled":"true",
"filter":{
"always_allow_bound_address":"true"
},
"encryption":{
"algorithm":"AES/CTR/NoPadding"
},
"audit":{
"outputs":[
"logfile"
],
"index":{
"bulk_size":"1000",
"rollover":"DAILY",
"flush_interval":"1s",
"events":{
"emit_request_body":"false",
"include":[
"ACCESS_DENIED",
"ACCESS_GRANTED",
"ANONYMOUS_ACCESS_DENIED",
"AUTHENTICATION_FAILED",
"REALM_AUTHENTICATION_FAILED",
"CONNECTION_DENIED",
"CONNECTION_GRANTED",
"TAMPERED_REQUEST",
"RUN_AS_DENIED",
"RUN_AS_GRANTED",
"AUTHENTICATION_SUCCESS"
],
"exclude":[
]
},
"queue_max_size":"10000"
},
"enabled":"false",
"logfile":{
"events":{
"emit_request_body":"false",
"include":[
"ACCESS_DENIED",
"ACCESS_GRANTED",
"ANONYMOUS_ACCESS_DENIED",
"AUTHENTICATION_FAILED",
"CONNECTION_DENIED",
"TAMPERED_REQUEST",
"RUN_AS_DENIED",
"RUN_AS_GRANTED"
],
"exclude":[
]
},
"prefix":{
"emit_node_host_name":"false",
"emit_node_name":"true",
"emit_node_host_address":"false"
}
}
},
"authc":{
"anonymous":{
"authz_exception":"true",
"roles":[
],
"username":"_anonymous"
},
"password_hashing":{
"algorithm":"bcrypt"
},
"run_as":{
"enabled":"true"
},
"reserved_realm":{
"enabled":"true"
},
"token":{
"delete":{
"interval":"30m",
"timeout":"-1"
},
"enabled":"false",
"thread_pool":{
"queue_size":"1000",
"size":"1"
},
"timeout":"20m"
}
},
"fips_mode":{
"enabled":"false"
},
"encryption_key":{
"length":"128",
"algorithm":"AES"
},
"http":{
"filter":{
"allow":[
],
"deny":[
],
"enabled":"true"
},
"ssl":{
"enabled":"false"
}
},
"automata":{
"max_determinized_states":"100000"
},
"user":null,
"authz":{
"store":{
"roles":{
"field_permissions":{
"cache":{
"max_size_in_bytes":"104857600"
}
},
"index":{
"cache":{
"ttl":"20m",
"max_size":"10000"
}
},
"cache":{
"max_size":"10000"
}
}
}
}
},
"http":{
"default_connection_timeout":"10s",
"proxy":{
"host":"",
"scheme":"",
"port":"0"
},
"default_read_timeout":"10s",
"max_response_size":"10mb"
},
"monitoring":{
"enabled":"true",
"collection":{
"cluster":{
"stats":{
"timeout":"10s"
}
},
"node":{
"stats":{
"timeout":"10s"
}
},
"indices":[
],
"index":{
"stats":{
"timeout":"10s"
},
"recovery":{
"active_only":"false",
"timeout":"10s"
}
},
"interval":"10s",
"enabled":"false",
"ml":{
"job":{
"stats":{
"timeout":"10s"
}
}
}
},
"history":{
"duration":"168h"
}
},
"graph":{
"enabled":"true"
},
"ml":{
"utility_thread_pool":{
"queue_size":"500",
"size":"80"
},
"max_machine_memory_percent":"30",
"max_open_jobs":"20",
"min_disk_space_off_heap":"5gb",
"autodetect_process":"true",
"datafeed_thread_pool":{
"queue_size":"200",
"size":"20"
},
"node_concurrent_job_allocations":"2",
"max_model_memory_limit":"0b",
"enabled":"true",
"autodetect_thread_pool":{
"queue_size":"80",
"size":"80"
}
},
"rollup":{
"enabled":"true",
"task_thread_pool":{
"queue_size":"4",
"size":"4"
}
},
"sql":{
"enabled":"true"
}
},
"rest":{
"action":{
"multi":{
"allow_explicit_index":"true"
}
}
},
"cache":{
"recycler":{
"page":{
"limit":{
"heap":"10%"
},
"type":"CONCURRENT",
"weight":{
"longs":"1.0",
"ints":"1.0",
"bytes":"1.0",
"objects":"0.1"
}
}
}
},
"reindex":{
"remote":{
"whitelist":[
]
}
},
"max":{
"percent":{
"date":{
"errors":"25"
},
"outoforder":{
"errors":"25"
}
},
"anomaly":{
"records":"500"
}
},
"resource":{
"reload":{
"enabled":"true",
"interval":{
"low":"60s",
"high":"5s",
"medium":"30s"
}
}
},
"thread_pool":{
"force_merge":{
"queue_size":"-1",
"size":"1"
},
"fetch_shard_started":{
"core":"1",
"max":"4",
"keep_alive":"5m"
},
"listener":{
"queue_size":"-1",
"size":"1"
},
"index":{
"queue_size":"200",
"size":"2"
},
"refresh":{
"core":"1",
"max":"1",
"keep_alive":"5m"
},
"generic":{
"core":"4",
"max":"128",
"keep_alive":"30s"
},
"warmer":{
"core":"1",
"max":"1",
"keep_alive":"5m"
},
"search":{
"max_queue_size":"1000",
"queue_size":"1000",
"size":"4",
"auto_queue_frame_size":"2000",
"target_response_time":"1s",
"min_queue_size":"1000"
},
"fetch_shard_store":{
"core":"1",
"max":"4",
"keep_alive":"5m"
},
"flush":{
"core":"1",
"max":"1",
"keep_alive":"5m"
},
"management":{
"core":"1",
"max":"5",
"keep_alive":"5m"
},
"analyze":{
"queue_size":"16",
"size":"1"
},
"get":{
"queue_size":"1000",
"size":"2"
},
"bulk":{
"queue_size":"200",
"size":"2"
},
"estimated_time_interval":"200ms",
"write":{
"queue_size":"200",
"size":"2"
},
"snapshot":{
"core":"1",
"max":"1",
"keep_alive":"5m"
}
},
"index":{
"codec":"default",
"store":{
"type":"",
"fs":{
"fs_lock":"native"
},
"preload":[
]
}
},
"monitor":{
"jvm":{
"gc":{
"enabled":"true",
"overhead":{
"warn":"50",
"debug":"10",
"info":"25"
},
"refresh_interval":"1s"
},
"refresh_interval":"1s"
},
"process":{
"refresh_interval":"1s"
},
"os":{
"refresh_interval":"1s"
},
"fs":{
"refresh_interval":"1s"
}
},
"transport":{
"tcp":{
"reuse_address":"true",
"connect_timeout":"30s",
"compress":"false",
"port":"9300-9400",
"keep_alive":"true",
"receive_buffer_size":"-1b",
"send_buffer_size":"-1b"
},
"bind_host":[
],
"ping_schedule":"-1",
"connections_per_node":{
"recovery":"2",
"state":"1",
"bulk":"3",
"reg":"6",
"ping":"1"
},
"tracer":{
"include":[
],
"exclude":[
"internal:discovery/zen/fd*",
"cluster:monitor/nodes/liveness"
]
},
"type":"security4",
"type.default":"netty4",
"features":{
"x-pack":"true"
},
"host":[
],
"publish_port":"-1",
"tcp_no_delay":"true",
"publish_host":[
],
"netty":{
"receive_predictor_size":"64kb",
"receive_predictor_max":"64kb",
"worker_count":"4",
"receive_predictor_min":"64kb",
"boss_count":"1"
}
},
"script":{
"allowed_contexts":[
],
"max_compilations_rate":"75/5m",
"cache":{
"max_size":"100",
"expire":"0ms"
},
"painless":{
"regex":{
"enabled":"false"
}
},
"max_size_in_bytes":"65535",
"allowed_types":[
]
},
"node":{
"data":"true",
"enable_lucene_segment_infos_trace":"false",
"local_storage":"true",
"max_local_storage_nodes":"1",
"name":"node01",
"id":{
"seed":"0"
},
"attr":{
"xpack":{
"installed":"true"
},
"ml":{
"machine_memory":"4075884544",
"max_open_jobs":"20",
"enabled":"true"
}
},
"portsfile":"false",
"ingest":"true",
"master":"true",
"ml":"true"
},
"indices":{
"cache":{
"cleanup_interval":"1m"
},
"mapping":{
"dynamic_timeout":"30s"
},
"memory":{
"interval":"5s",
"max_index_buffer_size":"-1",
"shard_inactive_time":"5m",
"index_buffer_size":"10%",
"min_index_buffer_size":"48mb"
},
"breaker":{
"request":{
"limit":"60%",
"type":"memory",
"overhead":"1.0"
},
"total":{
"limit":"70%"
},
"accounting":{
"limit":"100%",
"overhead":"1.0"
},
"fielddata":{
"limit":"60%",
"type":"memory",
"overhead":"1.03"
},
"type":"hierarchy"
},
"fielddata":{
"cache":{
"size":"-1b"
}
},
"query":{
"bool":{
"max_clause_count":"1024"
},
"query_string":{
"analyze_wildcard":"false",
"allowLeadingWildcard":"true"
}
},
"admin":{
"filtered_fields":"true"
},
"recovery":{
"recovery_activity_timeout":"1800000ms",
"retry_delay_network":"5s",
"internal_action_timeout":"15m",
"retry_delay_state_sync":"500ms",
"internal_action_long_timeout":"1800000ms",
"max_bytes_per_sec":"40mb"
},
"requests":{
"cache":{
"size":"1%",
"expire":"0ms"
}
},
"store":{
"delete":{
"shard":{
"timeout":"30s"
}
}
},
"analysis":{
"hunspell":{
"dictionary":{
"ignore_case":"false",
"lazy":"false"
}
}
},
"queries":{
"cache":{
"count":"10000",
"size":"10%",
"all_segments":"false"
}
}
},
"plugin":{
"mandatory":[
]
},
"max_running_jobs":"20",
"discovery":{
"type":"zen",
"zen":{
"commit_timeout":"30s",
"no_master_block":"write",
"join_retry_delay":"100ms",
"join_retry_attempts":"3",
"ping":{
"unicast":{
"concurrent_connects":"10",
"hosts":[
],
"hosts.resolve_timeout":"5s"
}
},
"master_election":{
"ignore_non_master_pings":"false",
"wait_for_joins_timeout":"30000ms"
},
"send_leave_request":"true",
"ping_timeout":"3s",
"join_timeout":"60000ms",
"publish_diff":{
"enable":"true"
},
"publish":{
"max_pending_cluster_states":"25"
},
"minimum_master_nodes":"-1",
"hosts_provider":[
],
"publish_timeout":"30s",
"fd":{
"connect_on_network_disconnect":"false",
"ping_interval":"1s",
"ping_retries":"3",
"register_connection_listener":"true",
"ping_timeout":"30s"
},
"max_pings_from_another_master":"3"
},
"initial_state_timeout":"30s"
},
"tribe":{
"name":"",
"on_conflict":"any",
"blocks":{
"metadata":"false",
"read":{
"indices":[
]
},
"write.indices":[
],
"write":"false",
"metadata.indices":[
]
}
},
"http":{
"cors":{
"max-age":"1728000",
"allow-origin":"",
"allow-headers":"X-Requested-With,Content-Type,Content-Length",
"allow-credentials":"false",
"allow-methods":"OPTIONS,HEAD,GET,POST,PUT,DELETE",
"enabled":"false"
},
"max_chunk_size":"8kb",
"compression_level":"3",
"max_initial_line_length":"4kb",
"type":"security4",
"pipelining":"true",
"enabled":"true",
"type.default":"netty4",
"content_type":{
"required":"true"
},
"host":[
],
"publish_port":"-1",
"read_timeout":"0ms",
"max_content_length":"100mb",
"netty":{
"receive_predictor_size":"64kb",
"max_composite_buffer_components":"69905",
"receive_predictor_max":"64kb",
"worker_count":"4",
"receive_predictor_min":"64kb"
},
"tcp":{
"reuse_address":"true",
"keep_alive":"true",
"receive_buffer_size":"-1b",
"send_buffer_size":"-1b"
},
"bind_host":[
],
"reset_cookies":"false",
"max_warning_header_count":"-1",
"max_warning_header_size":"-1b",
"detailed_errors":{
"enabled":"true"
},
"port":"9200-9300",
"max_header_size":"8kb",
"pipelining.max_events":"10000",
"tcp_no_delay":"true",
"compression":"true",
"publish_host":[
]
},
"gateway":{
"recover_after_master_nodes":"0",
"expected_nodes":"-1",
"recover_after_data_nodes":"-1",
"expected_data_nodes":"-1",
"recover_after_time":"0ms",
"expected_master_nodes":"-1",
"recover_after_nodes":"-1"
}
}
}
As #leandrojmp mentioned in the comment, you need to provide much more information for us to provide a specific recommendation, but for the general tip on improving the reindex(one-time) https://opster.com/blogs/improve-elasticsearch-reindex-performance/ and for ongoing indexing performance follow https://opster.com/blogs/improve-elasticsearch-indexing-rate/ .
We have a report that fetches data from elasticsearch and displays them as buckets. We want to show a band, customers and profit amount for each band. The idea is that we should give a band size parameter and then Vega should create 5 buckets for that when querying the data. If I mention the band size to be 50, then vega will pass this on in the query and create buckets 0-50, 51 to 100, 101 to 150, 151 to 200 and 200+. I am really struggling with this a lot and can not make it work. I am pasting the vega script here that works with hard coded values but when it comes to doing it through signals, I have not reached any clue at all. I would like to use the value from signal to define to band parameter. Please help.
{
"$schema":"https://vega.github.io/schema/vega/v4.json",
"data":[
{
"name":"SalesData",
"url":{
"index":"orderaggregates",
"body":{
"size":0,
"aggs":{
"bands":{
"range":{
"field":"total_sales",
"ranges":[
{
"from":0,
"to":50
},
{
"from":50.01,
"to":100
},
{
"from":100.01,
"to":150
},
{
"from":150.01,
"to":200
},
{
"from":200.01
}
]
},
"aggs":{
"total_sales":{
"sum":{
"field":"total_sales"
}
},
"customers":{
"cardinality":{
"field":"user_id"
}
},
"confirmed_orders":{
"sum":{
"field":"confirmedorders"
}
},
"cost_total":{
"sum":{
"field":"cost_total"
}
},
"shipping_collected":{
"sum":{
"field":"freightcollected"
}
},
"shipping_paid":{
"sum":{
"field":"freight_paid"
}
}
}
}
}
}
},
"format":{
"property":"aggregations.bands.buckets"
},
"transform":[
{
"type":"project",
"fields":[
"key",
"doc_count",
"customers.value",
"cost_total.value",
"total_sales.value"
],
"as":[
"range",
"orders",
"customers",
"costs",
"sales"
]
},
{
"type":"identifier",
"as":"id"
},
{
"type":"formula",
"as":"y",
"expr":"datum.id * 30"
},
{
"type":"formula",
"as":"orders",
"expr":"format(datum.orders,',.0f')"
},
{
"type":"formula",
"as":"customers",
"expr":"format(datum.customers,',.0f')"
},
{
"type":"formula",
"as":"costs",
"expr":"format(datum.costs,'$,.0f')"
},
{
"type":"formula",
"as":"sales",
"expr":"format(datum.sales,'$,.0f')"
}
]
}
],
"signals":[
{
"name":"Group",
"value":40,
"bind":{
"input":"range",
"min":10,
"max":100,
"step":10
}
},
{
"name":"GroupSize",
"update":"Group/2"
}
],
"marks":[
{
"from":{
"data":"SalesData"
},
"type":"text",
"encode":{
"enter":{
"fill":{
"value":"#000"
},
"text":{
"field":"range"
},
"x":{
"value":50
},
"y":{
"field":"y"
}
},
"update":{
"opacity":{
"value":1
},
"fontSize":{
"signal":"GroupSize"
}
},
"hover":{
"opacity":{
"value":0.5
}
}
}
},
{
"from":{
"data":"SalesData"
},
"type":"text",
"encode":{
"enter":{
"fill":{
"value":"#000"
},
"text":{
"field":"customers"
},
"x":{
"value":250
},
"y":{
"field":"y"
}
},
"update":{
"opacity":{
"value":1
},
"fontSize":{
"signal":"GroupSize"
}
},
"hover":{
"opacity":{
"value":0.5
}
}
}
},
{
"from":{
"data":"SalesData"
},
"type":"text",
"encode":{
"enter":{
"fill":{
"value":"#000"
},
"text":{
"field":"orders"
},
"x":{
"value":350
},
"y":{
"field":"y"
}
},
"update":{
"opacity":{
"value":1
},
"fontSize":{
"signal":"GroupSize"
}
},
"hover":{
"opacity":{
"value":0.5
}
}
}
},
{
"from":{
"data":"SalesData"
},
"type":"text",
"encode":{
"enter":{
"fill":{
"value":"#000"
},
"text":{
"field":"sales"
},
"x":{
"value":450
},
"y":{
"field":"y"
}
},
"update":{
"opacity":{
"value":1
},
"fontSize":{
"signal":"GroupSize"
}
},
"hover":{
"opacity":{
"value":0.5
}
}
}
}
]
}
You have to change the structure. Move the task which is done in your query to data's transform section where you can use the signals:
Query all relevant data
Transform your data with usage of your signal "Group" to the bins (e.g. calculate "extend" and "bin" transforms similar to this: http://blog.wafrat.com/building-a-log-scaled-histogram-of-aaves-loans-in-vega/)
I am rendering an adaptive card on a teams channel using Bot Framework. It renders the card fine, but the background image is different on a desktop client and mobile client. The first image shows the rendering on the desktop client and the second image is for the mobile client.
https://i.stack.imgur.com/mKl1z.png
https://i.stack.imgur.com/HAumI.jpg
Is there a way that I can change the way it renders on phone? Or add css to the Adaptive cards?
This is the JSON I've used to build the card:
{
$schema:"http://adaptivecards.io/schemas/adaptive-card.json",
type:"AdaptiveCard",
version:"1.0",
backgroundImage:"https://www.totalmortgage.com/images/claimed-blue.jpg",
backgroundImageMode:"stretch",
body:[
{
"type":"ColumnSet",
"columns":[
{
"type":"Column",
"items":[
{
"type":"TextBlock",
"size":"Large",
"weight":"bolder",
"text":"Application Offer",
"wrap":true,
"maxLines":0
}
]
},
]
},
{
"type":"TextBlock",
"size":"medium",
"text":"**New Lead has arrived:**",
"wrap":true,
"maxLines":0
},
{
"type":"ColumnSet",
"columns":[
{
"type":"Column",
"items":[
{
"type":"TextBlock",
"spacing":"small",
"size":"default",
"text":"**First Name** : ",
"wrap":true,
"maxLines":0,
"seperator":true
},
{
"type":"TextBlock",
"spacing":"small",
"size":"default",
"text":"**Last Name** : ",
"wrap":true,
"maxLines":0
}
]
},
]
},
{
"type":"TextBlock",
"spacing":"small",
"size":"default",
"text":"**Property State** : "+sfdata['property_state'],
"wrap":true,
"maxLines":0
}
]
};
Use version 1.1
{
"$schema":"http://adaptivecards.io/schemas/adaptive-card.json",
"type":"AdaptiveCard",
"version":"1.1",
"backgroundImage": {
"url": "https://www.totalmortgage.com/images/claimed-blue.jpg",
"fillMode": "repeat",
"horizontalAlignment": "left",
"VerticalAlignment ": "center"
},
"body":[
{
"type":"ColumnSet",
"columns":[
{
"type":"Column",
"items":[
{
"type":"TextBlock",
"size":"Large",
"weight":"bolder",
"text":"Application Offer",
"wrap":true,
"maxLines":0
}
]
}
]
},
{
"type":"TextBlock",
"size":"medium",
"text":"**New Lead has arrived:**",
"wrap":true,
"maxLines":0
},
{
"type":"ColumnSet",
"columns":[
{
"type":"Column",
"items":[
{
"type":"TextBlock",
"spacing":"small",
"size":"default",
"text":"**First Name** : ",
"wrap":true,
"maxLines":0,
"seperator":true
},
{
"type":"TextBlock",
"spacing":"small",
"size":"default",
"text":"**Last Name** : ",
"wrap":true,
"maxLines":0
}
]
}
]
},
{
"type":"TextBlock",
"spacing":"small",
"size":"default",
"text":"**Property State** : ",
"wrap":true,
"maxLines":0
}
]
}
Check issue here:
https://github.com/Microsoft/AdaptiveCards/issues/477
PS: Your JSON Card has some invalid codes.
Always check in the Visualizer!