Custom sort sequence is not working when using in vega-lite

Hi Team ,
If any body can guide what could be the issue

Case-We are trying to extract data from kibana index and plotting a vega-lite bar chart. When we try to apply sort as ascending or descending, the sort works. However when we try to apply custom sort it doesnt work. Any pointers would be really appreciated.

Vega-lite code-

{
“$schema”: “https://vega.github.io/schema/vega-lite/v5.json”,
“data”: {
“url”: {
“%context%”: true,
“%timefield%”": “Timestamp”,
“index”: “kp3”,
“body”: {
“size”: 10000,
“_source”: [
“Algorithm”,
“STL Average Throughput”,
“Element Type”,
“Benchmark output set”,
“Total Input Size”
]
}
},
“format”: {“property”: “hits.hits”}
},
“transform”: [
{“filter”: {“field”: “_source.Algorithm”, “equal”: “sort”}},
{
“filter”: {
“field”: “_source.Total Input Size”,
“oneOf”: [“1”, “2”, “4”, “8”]
}
}
],
“mark”: {“type”: “bar”, “cornerRadius”: 5, “tooltip”: true},
“encoding”: {
“column”: {
“field”: “_source.Element Type”,
“sort”: [
“float”,
“int”,
“int8_t”,
“int16_t”,
“int32_t”,
“int64_t”,
“double”,
“char”
],
“header”: {“orient”: “bottom”},
“title”: “Element Type”
},
“y”: {
“field”: “_source.STL Average Throughput”,
“aggregate”: “mean”,
“type”: “quantitative”,
“axis”: {“title”: “STL Average Throughput elements/sec”, “tickCount”: 5},
“scale”: {“domain”: [1, 100000000000], “type”: “log”, “base”: 10}
},
“x”: {“field”: “_source.Benchmark data”, “type”: “nominal”, “axis”: null},
“color”: {“field”: “_source.Benchmark data”, “legend”: null},
“tooltip”: [
{
“field”: “_source.Element Type”,
“type”: “nominal”,
“title”: “Element Type”
},
{
“field”: “_source.STL Average Throughput”,
“type”: “quantitative”,
“title”: “STL Average Throughput”
},
{“field”: “_source.Benchmark data”, “type”: “nominal”, “title”: “DataSet”}
]
},
“config”: {“view”: {“stroke”: “transparent”}, “axis”: {“grid”: false}}
}

Resultant chart-
chart

Query Response-
{
“took”: 5,
“timed_out”: false,
“_shards”: {
“total”: 1,
“successful”: 1,
“skipped”: 0,
“failed”: 0
},
“hits”: {
“total”: 96,
“max_score”: 1,
“hits”: [
{
“_index”: “kp3”,
“_type”: “_doc”,
“_id”: “uK1nq34BiqUe-gzj0lNd”,
“_score”: 1,
“_source”: {
“Element Type”: “char”,
“Algorithm”: “reduce”,
“Total Input Size”: “64”,
“STL Average Throughput”: “1.37744e+10”
}
},
{
“_index”: “kp3”,
“_type”: “_doc”,
“_id”: “ua1nq34BiqUe-gzj0lNd”,
“_score”: 1,
“_source”: {
“Element Type”: “char”,
“Algorithm”: “transform_inplace”,
“Total Input Size”: “64”,
“STL Average Throughput”: “1.2419e+10”
}
},
{
“_index”: “kp3”,
“_type”: “_doc”,
“_id”: “uq1nq34BiqUe-gzj0lNd”,
“_score”: 1,
“_source”: {
“Element Type”: “char”,
“Algorithm”: “inclusive_scan_inplace”,
“Total Input Size”: “64”,
“STL Average Throughput”: “2.82938e+09”
}
},
{
“_index”: “kp3”,
“_type”: “_doc”,
“_id”: “u61nq34BiqUe-gzj0lNd”,
“_score”: 1,
“_source”: {
“Element Type”: “char”,
“Algorithm”: “sort”,
“Total Input Size”: “1”,
“STL Average Throughput”: “2.91381e+07”
}
},
{
“_index”: “kp3”,
“_type”: “_doc”,
“_id”: “vK1nq34BiqUe-gzj0lNd”,
“_score”: 1,
“_source”: {
“Element Type”: “char”,
“Algorithm”: “copy”,
“Total Input Size”: “64”,
“STL Average Throughput”: “4.69128e+09”
}
},
{
“_index”: “kp3”,
“_type”: “_doc”,
“_id”: “va1nq34BiqUe-gzj0lNd”,
“_score”: 1,
“_source”: {
“Element Type”: “char”,
“Algorithm”: “shuffle”,
“Total Input Size”: “64”,
“STL Average Throughput”: “3.53722e+07”
}
},
{
“_index”: “kp3”,
“_type”: “_doc”,
“_id”: “vq1nq34BiqUe-gzj0lNd”,
“_score”: 1,
“_source”: {
“Element Type”: “int”,
“Algorithm”: “reduce”,
“Total Input Size”: “64”,
“STL Average Throughput”: “3.69429e+09”
}
},
{
“_index”: “kp3”,
“_type”: “_doc”,
“_id”: “v61nq34BiqUe-gzj0lNd”,
“_score”: 1,
“_source”: {
“Element Type”: “int”,
“Algorithm”: “transform_inplace”,
“Total Input Size”: “64”,
“STL Average Throughput”: “3.31539e+09”
}
},
{
“_index”: “kp3”,
“_type”: “_doc”,
“_id”: “wK1nq34BiqUe-gzj0lNd”,
“_score”: 1,
“_source”: {
“Element Type”: “int”,
“Algorithm”: “inclusive_scan_inplace”,
“Total Input Size”: “64”,
“STL Average Throughput”: “2.20952e+09”
}
},
{
“_index”: “kp3”,
“_type”: “_doc”,
“_id”: “wa1nq34BiqUe-gzj0lNd”,
“_score”: 1,
“_source”: {
“Element Type”: “int”,
“Algorithm”: “sort”,
“Total Input Size”: “4”,
“STL Average Throughput”: “1.60419e+07”
}
},
{
“_index”: “kp3”,
“_type”: “_doc”,
“_id”: “wq1nq34BiqUe-gzj0lNd”,
“_score”: 1,
“_source”: {
“Element Type”: “int”,
“Algorithm”: “copy”,
“Total Input Size”: “64”,
“STL Average Throughput”: “1.32744e+09”
}
},
{
“_index”: “kp3”,
“_type”: “_doc”,
“_id”: “w61nq34BiqUe-gzj0lNd”,
“_score”: 1,
“_source”: {
“Element Type”: “int”,
“Algorithm”: “shuffle”,
“Total Input Size”: “64”,
“STL Average Throughput”: “3.47311e+07”
}
},
{
“_index”: “kp3”,
“_type”: “_doc”,
“_id”: “xK1nq34BiqUe-gzj0lNd”,
“_score”: 1,
“_source”: {
“Element Type”: “int8_t”,
“Algorithm”: “reduce”,
“Total Input Size”: “64”,
“STL Average Throughput”: “1.46333e+10”
}
},
{
“_index”: “kp3”,
“_type”: “_doc”,
“_id”: “xa1nq34BiqUe-gzj0lNd”,
“_score”: 1,
“_source”: {
“Element Type”: “int8_t”,
“Algorithm”: “transform_inplace”,
“Total Input Size”: “64”,
“STL Average Throughput”: “1.3204e+10”
}
},
{
“_index”: “kp3”,
“_type”: “_doc”,
“_id”: “xq1nq34BiqUe-gzj0lNd”,
“_score”: 1,
“_source”: {
“Element Type”: “int8_t”,
“Algorithm”: “inclusive_scan_inplace”,
“Total Input Size”: “64”,
“STL Average Throughput”: “2.89268e+09”
}
},
{
“_index”: “kp3”,
“_type”: “_doc”,
“_id”: “x61nq34BiqUe-gzj0lNd”,
“_score”: 1,
“_source”: {
“Element Type”: “int8_t”,
“Algorithm”: “sort”,
“Total Input Size”: “1”,
“STL Average Throughput”: “3.01456e+07”
}
},
{
“_index”: “kp3”,
“_type”: “_doc”,
“_id”: “yK1nq34BiqUe-gzj0lNd”,
“_score”: 1,
“_source”: {
“Element Type”: “int8_t”,
“Algorithm”: “copy”,
“Total Input Size”: “64”,
“STL Average Throughput”: “5.32498e+09”
}
},
{
“_index”: “kp3”,
“_type”: “_doc”,
“_id”: “ya1nq34BiqUe-gzj0lNd”,
“_score”: 1,
“_source”: {
“Element Type”: “int8_t”,
“Algorithm”: “shuffle”,
“Total Input Size”: “64”,
“STL Average Throughput”: “3.54428e+07”
}
},
{
“_index”: “kp3”,
“_type”: “_doc”,
“_id”: “yq1nq34BiqUe-gzj0lNd”,
“_score”: 1,
“_source”: {
“Element Type”: “int16_t”,
“Algorithm”: “reduce”,
“Total Input Size”: “64”,
“STL Average Throughput”: “7.40161e+09”
}
},
{
“_index”: “kp3”,
“_type”: “_doc”,
“_id”: “y61nq34BiqUe-gzj0lNd”,
“_score”: 1,
“_source”: {
“Element Type”: “int16_t”,
“Algorithm”: “transform_inplace”,
“Total Input Size”: “64”,
“STL Average Throughput”: “6.64026e+09”
}
},
{
“_index”: “kp3”,
“_type”: “_doc”,
“_id”: “zK1nq34BiqUe-gzj0lNd”,
“_score”: 1,
“_source”: {
“Element Type”: “int16_t”,
“Algorithm”: “inclusive_scan_inplace”,
“Total Input Size”: “64”,
“STL Average Throughput”: “2.71212e+09”
}
},
{
“_index”: “kp3”,
“_type”: “_doc”,
“_id”: “za1nq34BiqUe-gzj0lNd”,
“_score”: 1,
“_source”: {
“Element Type”: “int16_t”,
“Algorithm”: “sort”,
“Total Input Size”: “2”,
“STL Average Throughput”: “1.78204e+07”
}
},
{
“_index”: “kp3”,
“_type”: “_doc”,
“_id”: “zq1nq34BiqUe-gzj0lNd”,
“_score”: 1,
“_source”: {
“Element Type”: “int16_t”,
“Algorithm”: “copy”,
“Total Input Size”: “64”,
“STL Average Throughput”: “2.66197e+09”
}
},
{
“_index”: “kp3”,
“_type”: “_doc”,
“_id”: “z61nq34BiqUe-gzj0lNd”,
“_score”: 1,
“_source”: {
“Element Type”: “int16_t”,
“Algorithm”: “shuffle”,
“Total Input Size”: “64”,
“STL Average Throughput”: “3.55652e+07”
}
},
{
“_index”: “kp3”,
“_type”: “_doc”,
“_id”: “0K1nq34BiqUe-gzj0lNd”,
“_score”: 1,
“_source”: {
“Element Type”: “int32_t”,
“Algorithm”: “reduce”,
“Total Input Size”: “64”,
“STL Average Throughput”: “3.65616e+09”
}
},
{
“_index”: “kp3”,
“_type”: “_doc”,
“_id”: “0a1nq34BiqUe-gzj0lNd”,
“_score”: 1,
“_source”: {
“Element Type”: “int32_t”,
“Algorithm”: “transform_inplace”,
“Total Input Size”: “64”,
“STL Average Throughput”: “3.30972e+09”
}
},
{
“_index”: “kp3”,
“_type”: “_doc”,
“_id”: “0q1nq34BiqUe-gzj0lNd”,
“_score”: 1,
“_source”: {
“Element Type”: “int32_t”,
“Algorithm”: “inclusive_scan_inplace”,
“Total Input Size”: “64”,
“STL Average Throughput”: “2.22582e+09”
}
},
{
“_index”: “kp3”,
“_type”: “_doc”,
“_id”: “061nq34BiqUe-gzj0lNd”,
“_score”: 1,
“_source”: {
“Element Type”: “int32_t”,
“Algorithm”: “sort”,
“Total Input Size”: “4”,
“STL Average Throughput”: “1.60339e+07”
}
},
{
“_index”: “kp3”,
“_type”: “_doc”,
“_id”: “1K1nq34BiqUe-gzj0lNd”,
“_score”: 1,
“_source”: {
“Element Type”: “int32_t”,
“Algorithm”: “copy”,
“Total Input Size”: “64”,
“STL Average Throughput”: “1.17627e+09”
}
},
{
“_index”: “kp3”,
“_type”: “_doc”,
“_id”: “1a1nq34BiqUe-gzj0lNd”,
“_score”: 1,
“_source”: {
“Element Type”: “int32_t”,
“Algorithm”: “shuffle”,
“Total Input Size”: “64”,
“STL Average Throughput”: “3.54918e+07”
}
},
{
“_index”: “kp3”,
“_type”: “_doc”,
“_id”: “1q1nq34BiqUe-gzj0lNd”,
“_score”: 1,
“_source”: {
“Element Type”: “int64_t”,
“Algorithm”: “reduce”,
“Total Input Size”: “64”,
“STL Average Throughput”: “1.81446e+09”
}
},
{
“_index”: “kp3”,
“_type”: “_doc”,
“_id”: “161nq34BiqUe-gzj0lNd”,
“_score”: 1,
“_source”: {
“Element Type”: “int64_t”,
“Algorithm”: “transform_inplace”,
“Total Input Size”: “64”,
“STL Average Throughput”: “1.6189e+09”
}
},
{
“_index”: “kp3”,
“_type”: “_doc”,
“_id”: “2K1nq34BiqUe-gzj0lNd”,
“_score”: 1,
“_source”: {
“Element Type”: “int64_t”,
“Algorithm”: “inclusive_scan_inplace”,
“Total Input Size”: “64”,
“STL Average Throughput”: “1.27968e+09”
}
},
{
“_index”: “kp3”,
“_type”: “_doc”,
“_id”: “2a1nq34BiqUe-gzj0lNd”,
“_score”: 1,
“_source”: {
“Element Type”: “int64_t”,
“Algorithm”: “sort”,
“Total Input Size”: “8”,
“STL Average Throughput”: “1.39801e+07”
}
},
{
“_index”: “kp3”,
“_type”: “_doc”,
“_id”: “2q1nq34BiqUe-gzj0lNd”,
“_score”: 1,
“_source”: {
“Element Type”: “int64_t”,
“Algorithm”: “copy”,
“Total Input Size”: “64”,
“STL Average Throughput”: “6.65709e+08”
}
},
{
“_index”: “kp3”,
“_type”: “_doc”,
“_id”: “261nq34BiqUe-gzj0lNd”,
“_score”: 1,
“_source”: {
“Element Type”: “int64_t”,
“Algorithm”: “shuffle”,
“Total Input Size”: “64”,
“STL Average Throughput”: “3.52779e+07”
}
},
{
“_index”: “kp3”,
“_type”: “_doc”,
“_id”: “3K1nq34BiqUe-gzj0lNd”,
“_score”: 1,
“_source”: {
“Element Type”: “float”,
“Algorithm”: “reduce”,
“Total Input Size”: “64”,
“STL Average Throughput”: “9.04844e+08”
}
},
{
“_index”: “kp3”,
“_type”: “_doc”,
“_id”: “3a1nq34BiqUe-gzj0lNd”,
“_score”: 1,
“_source”: {
“Element Type”: “float”,
“Algorithm”: “transform_inplace”,
“Total Input Size”: “64”,
“STL Average Throughput”: “3.33026e+09”
}
},
{
“_index”: “kp3”,
“_type”: “_doc”,
“_id”: “3q1nq34BiqUe-gzj0lNd”,
“_score”: 1,
“_source”: {
“Element Type”: “float”,
“Algorithm”: “inclusive_scan_inplace”,
“Total Input Size”: “64”,
“STL Average Throughput”: “9.06581e+08”
}
},
{
“_index”: “kp3”,
“_type”: “_doc”,
“_id”: “361nq34BiqUe-gzj0lNd”,
“_score”: 1,
“_source”: {
“Element Type”: “float”,
“Algorithm”: “sort”,
“Total Input Size”: “4”,
“STL Average Throughput”: “1.29818e+07”
}
},
{
“_index”: “kp3”,
“_type”: “_doc”,
“_id”: “4K1nq34BiqUe-gzj0lNd”,
“_score”: 1,
“_source”: {
“Element Type”: “float”,
“Algorithm”: “copy”,
“Total Input Size”: “64”,
“STL Average Throughput”: “1.33246e+09”
}
},
{
“_index”: “kp3”,
“_type”: “_doc”,
“_id”: “4a1nq34BiqUe-gzj0lNd”,
“_score”: 1,
“_source”: {
“Element Type”: “float”,
“Algorithm”: “shuffle”,
“Total Input Size”: “64”,
“STL Average Throughput”: “3.30851e+07”
}
},
{
“_index”: “kp3”,
“_type”: “_doc”,
“_id”: “4q1nq34BiqUe-gzj0lNd”,
“_score”: 1,
“_source”: {
“Element Type”: “double”,
“Algorithm”: “reduce”,
“Total Input Size”: “64”,
“STL Average Throughput”: “8.42487e+08”
}
},
{
“_index”: “kp3”,
“_type”: “_doc”,
“_id”: “461nq34BiqUe-gzj0lNd”,
“_score”: 1,
“_source”: {
“Element Type”: “double”,
“Algorithm”: “transform_inplace”,
“Total Input Size”: “64”,
“STL Average Throughput”: “1.63456e+09”
}
},
{
“_index”: “kp3”,
“_type”: “_doc”,
“_id”: “5K1nq34BiqUe-gzj0lNd”,
“_score”: 1,
“_source”: {
“Element Type”: “double”,
“Algorithm”: “inclusive_scan_inplace”,
“Total Input Size”: “64”,
“STL Average Throughput”: “8.33278e+08”
}
},
{
“_index”: “kp3”,
“_type”: “_doc”,
“_id”: “5a1nq34BiqUe-gzj0lNd”,
“_score”: 1,
“_source”: {
“Element Type”: “double”,
“Algorithm”: “sort”,
“Total Input Size”: “8”,
“STL Average Throughput”: “1.41525e+07”
}
},
{
“_index”: “kp3”,
“_type”: “_doc”,
“_id”: “5q1nq34BiqUe-gzj0lNd”,
“_score”: 1,
“_source”: {
“Element Type”: “double”,
“Algorithm”: “copy”,
“Total Input Size”: “64”,
“STL Average Throughput”: “6.65124e+08”
}
},
{
“_index”: “kp3”,
“_type”: “_doc”,
“_id”: “561nq34BiqUe-gzj0lNd”,
“_score”: 1,
“_source”: {
“Element Type”: “double”,
“Algorithm”: “shuffle”,
“Total Input Size”: “64”,
“STL Average Throughput”: “3.50793e+07”
}
},
{
“_index”: “kp3”,
“_type”: “_doc”,
“_id”: “6K1nq34BiqUe-gzj0lNd”,
“_score”: 1,
“_source”: {
“Element Type”: “char”,
“Algorithm”: “reduce”,
“Total Input Size”: “128”,
“STL Average Throughput”: “1.35692e+10”
}
},
{
“_index”: “kp3”,
“_type”: “_doc”,
“_id”: “6a1nq34BiqUe-gzj0lNd”,
“_score”: 1,
“_source”: {
“Element Type”: “char”,
“Algorithm”: “transform_inplace”,
“Total Input Size”: “128”,
“STL Average Throughput”: “1.19396e+10”
}
},
{
“_index”: “kp3”,
“_type”: “_doc”,
“_id”: “6q1nq34BiqUe-gzj0lNd”,
“_score”: 1,
“_source”: {
“Element Type”: “char”,
“Algorithm”: “inclusive_scan_inplace”,
“Total Input Size”: “128”,
“STL Average Throughput”: “2.89807e+09”
}
},
{
“_index”: “kp3”,
“_type”: “_doc”,
“_id”: “661nq34BiqUe-gzj0lNd”,
“_score”: 1,
“_source”: {
“Element Type”: “char”,
“Algorithm”: “sort”,
“Total Input Size”: “2”,
“STL Average Throughput”: “2.97162e+07”
}
},
{
“_index”: “kp3”,
“_type”: “_doc”,
“_id”: “7K1nq34BiqUe-gzj0lNd”,
“_score”: 1,
“_source”: {
“Element Type”: “char”,
“Algorithm”: “copy”,
“Total Input Size”: “128”,
“STL Average Throughput”: “5.26502e+09”
}
},
{
“_index”: “kp3”,
“_type”: “_doc”,
“_id”: “7a1nq34BiqUe-gzj0lNd”,
“_score”: 1,
“_source”: {
“Element Type”: “char”,
“Algorithm”: “shuffle”,
“Total Input Size”: “128”,
“STL Average Throughput”: “2.90245e+07”
}
},
{
“_index”: “kp3”,
“_type”: “_doc”,
“_id”: “7q1nq34BiqUe-gzj0lNd”,
“_score”: 1,
“_source”: {
“Element Type”: “int”,
“Algorithm”: “reduce”,
“Total Input Size”: “128”,
“STL Average Throughput”: “3.42387e+09”
}
},
{
“_index”: “kp3”,
“_type”: “_doc”,
“_id”: “761nq34BiqUe-gzj0lNd”,
“_score”: 1,
“_source”: {
“Element Type”: “int”,
“Algorithm”: “transform_inplace”,
“Total Input Size”: “128”,
“STL Average Throughput”: “3.0726e+09”
}
},
{
“_index”: “kp3”,
“_type”: “_doc”,
“_id”: “8K1nq34BiqUe-gzj0lNd”,
“_score”: 1,
“_source”: {
“Element Type”: “int”,
“Algorithm”: “inclusive_scan_inplace”,
“Total Input Size”: “128”,
“STL Average Throughput”: “2.06799e+09”
}
},
{
“_index”: “kp3”,
“_type”: “_doc”,
“_id”: “8a1nq34BiqUe-gzj0lNd”,
“_score”: 1,
“_source”: {
“Element Type”: “int”,
“Algorithm”: “sort”,
“Total Input Size”: “8”,
“STL Average Throughput”: “1.47752e+07”
}
},
{
“_index”: “kp3”,
“_type”: “_doc”,
“_id”: “8q1nq34BiqUe-gzj0lNd”,
“_score”: 1,
“_source”: {
“Element Type”: “int”,
“Algorithm”: “copy”,
“Total Input Size”: “128”,
“STL Average Throughput”: “1.31408e+09”
}
},
{
“_index”: “kp3”,
“_type”: “_doc”,
“_id”: “861nq34BiqUe-gzj0lNd”,
“_score”: 1,
“_source”: {
“Element Type”: “int”,
“Algorithm”: “shuffle”,
“Total Input Size”: “128”,
“STL Average Throughput”: “2.82854e+07”
}
},
{
“_index”: “kp3”,
“_type”: “_doc”,
“_id”: “9K1nq34BiqUe-gzj0lNd”,
“_score”: 1,
“_source”: {
“Element Type”: “int8_t”,
“Algorithm”: “reduce”,
“Total Input Size”: “128”,
“STL Average Throughput”: “1.38054e+10”
}
},
{
“_index”: “kp3”,
“_type”: “_doc”,
“_id”: “9a1nq34BiqUe-gzj0lNd”,
“_score”: 1,
“_source”: {
“Element Type”: “int8_t”,
“Algorithm”: “transform_inplace”,
“Total Input Size”: “128”,
“STL Average Throughput”: “1.16114e+10”
}
},
{
“_index”: “kp3”,
“_type”: “_doc”,
“_id”: “9q1nq34BiqUe-gzj0lNd”,
“_score”: 1,
“_source”: {
“Element Type”: “int8_t”,
“Algorithm”: “inclusive_scan_inplace”,
“Total Input Size”: “128”,
“STL Average Throughput”: “2.7748e+09”
}
},
{
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}

Hi there, this forum is for Vega.xyz / Vega Protocol and not for the tool you’re enquiring about. It’s similarly named!

Sadly we can’t help support you, try contacting the devs at https://vega.github.io via their GitHub repos/issues tracker :star: