chore: Update datafusion again (N of N) (#6218)
* chore: Update datafusion again (4 of N) * fix: Update plans * fix: Update for renamed API * fix: Update more plans * chore: Update to datafusion @ d355f69aae2cc951cfd021e5c0b690861ba0c4ac * fix: update explain plan tests * fix: update test after schema error * chore: Update datafusion again * fix: Add size() calculation to selectors * chore: Run cargo hakari tasks * fix: Update newly added test Co-authored-by: CircleCI[bot] <circleci@influxdata.com> Co-authored-by: kodiakhq[bot] <49736102+kodiakhq[bot]@users.noreply.github.com>pull/24376/head
Andrew Lamb
GitHub
parent
befc6d668b
commit
fc5697b8e7
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@ -329,6 +329,7 @@ dependencies = [
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"memchr",
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"pin-project-lite",
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"tokio",
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"xz2",
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]
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[[package]]
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@ -1236,7 +1237,7 @@ dependencies = [
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[[package]]
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name = "datafusion"
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version = "14.0.0"
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source = "git+https://github.com/apache/arrow-datafusion.git?rev=ebb24c5bf46f2af362aebffba2012875b328e799#ebb24c5bf46f2af362aebffba2012875b328e799"
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source = "git+https://github.com/apache/arrow-datafusion.git?rev=a61615b2949bea9027eefe686613605e135780f2#a61615b2949bea9027eefe686613605e135780f2"
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dependencies = [
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"ahash 0.8.2",
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"arrow",
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@ -1255,7 +1256,7 @@ dependencies = [
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"flate2",
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"futures",
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"glob",
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"hashbrown 0.12.3",
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"hashbrown 0.13.1",
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"itertools",
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"lazy_static",
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"log",
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@ -1268,43 +1269,44 @@ dependencies = [
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"pin-project-lite",
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"rand",
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"smallvec",
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"sqlparser 0.26.0",
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"sqlparser",
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"tempfile",
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"tokio",
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"tokio-stream",
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"tokio-util",
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"url",
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"uuid",
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"xz2",
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]
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[[package]]
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name = "datafusion-common"
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version = "14.0.0"
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source = "git+https://github.com/apache/arrow-datafusion.git?rev=ebb24c5bf46f2af362aebffba2012875b328e799#ebb24c5bf46f2af362aebffba2012875b328e799"
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source = "git+https://github.com/apache/arrow-datafusion.git?rev=a61615b2949bea9027eefe686613605e135780f2#a61615b2949bea9027eefe686613605e135780f2"
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dependencies = [
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"arrow",
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"chrono",
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"object_store",
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"parquet",
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"sqlparser 0.26.0",
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"sqlparser",
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]
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[[package]]
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name = "datafusion-expr"
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version = "14.0.0"
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source = "git+https://github.com/apache/arrow-datafusion.git?rev=ebb24c5bf46f2af362aebffba2012875b328e799#ebb24c5bf46f2af362aebffba2012875b328e799"
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source = "git+https://github.com/apache/arrow-datafusion.git?rev=a61615b2949bea9027eefe686613605e135780f2#a61615b2949bea9027eefe686613605e135780f2"
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dependencies = [
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"ahash 0.8.2",
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"arrow",
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"datafusion-common",
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"log",
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"sqlparser 0.26.0",
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"sqlparser",
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]
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[[package]]
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name = "datafusion-optimizer"
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version = "14.0.0"
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source = "git+https://github.com/apache/arrow-datafusion.git?rev=ebb24c5bf46f2af362aebffba2012875b328e799#ebb24c5bf46f2af362aebffba2012875b328e799"
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source = "git+https://github.com/apache/arrow-datafusion.git?rev=a61615b2949bea9027eefe686613605e135780f2#a61615b2949bea9027eefe686613605e135780f2"
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dependencies = [
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"arrow",
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"async-trait",
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@ -1312,14 +1314,14 @@ dependencies = [
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"datafusion-common",
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"datafusion-expr",
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"datafusion-physical-expr",
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"hashbrown 0.12.3",
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"hashbrown 0.13.1",
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"log",
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]
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[[package]]
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name = "datafusion-physical-expr"
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version = "14.0.0"
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source = "git+https://github.com/apache/arrow-datafusion.git?rev=ebb24c5bf46f2af362aebffba2012875b328e799#ebb24c5bf46f2af362aebffba2012875b328e799"
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source = "git+https://github.com/apache/arrow-datafusion.git?rev=a61615b2949bea9027eefe686613605e135780f2#a61615b2949bea9027eefe686613605e135780f2"
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dependencies = [
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"ahash 0.8.2",
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"arrow",
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@ -1332,7 +1334,7 @@ dependencies = [
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"datafusion-expr",
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"datafusion-row",
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"half 2.1.0",
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"hashbrown 0.12.3",
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"hashbrown 0.13.1",
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"itertools",
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"lazy_static",
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"md-5",
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@ -1348,7 +1350,7 @@ dependencies = [
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[[package]]
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name = "datafusion-proto"
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version = "14.0.0"
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source = "git+https://github.com/apache/arrow-datafusion.git?rev=ebb24c5bf46f2af362aebffba2012875b328e799#ebb24c5bf46f2af362aebffba2012875b328e799"
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source = "git+https://github.com/apache/arrow-datafusion.git?rev=a61615b2949bea9027eefe686613605e135780f2#a61615b2949bea9027eefe686613605e135780f2"
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dependencies = [
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"arrow",
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"datafusion",
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@ -1362,7 +1364,7 @@ dependencies = [
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[[package]]
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name = "datafusion-row"
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version = "14.0.0"
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source = "git+https://github.com/apache/arrow-datafusion.git?rev=ebb24c5bf46f2af362aebffba2012875b328e799#ebb24c5bf46f2af362aebffba2012875b328e799"
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source = "git+https://github.com/apache/arrow-datafusion.git?rev=a61615b2949bea9027eefe686613605e135780f2#a61615b2949bea9027eefe686613605e135780f2"
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dependencies = [
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"arrow",
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"datafusion-common",
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@ -1373,12 +1375,12 @@ dependencies = [
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[[package]]
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name = "datafusion-sql"
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version = "14.0.0"
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source = "git+https://github.com/apache/arrow-datafusion.git?rev=ebb24c5bf46f2af362aebffba2012875b328e799#ebb24c5bf46f2af362aebffba2012875b328e799"
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source = "git+https://github.com/apache/arrow-datafusion.git?rev=a61615b2949bea9027eefe686613605e135780f2#a61615b2949bea9027eefe686613605e135780f2"
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dependencies = [
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"arrow",
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"datafusion-common",
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"datafusion-expr",
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"sqlparser 0.26.0",
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"sqlparser",
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]
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[[package]]
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@ -2395,7 +2397,7 @@ version = "0.1.0"
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dependencies = [
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"generated_types",
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"snafu",
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"sqlparser 0.27.0",
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"sqlparser",
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"workspace-hack",
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]
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@ -3066,6 +3068,17 @@ dependencies = [
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"libc",
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]
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[[package]]
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name = "lzma-sys"
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version = "0.1.20"
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source = "registry+https://github.com/rust-lang/crates.io-index"
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checksum = "5fda04ab3764e6cde78b9974eec4f779acaba7c4e84b36eca3cf77c581b85d27"
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dependencies = [
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"cc",
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"libc",
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"pkg-config",
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]
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[[package]]
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name = "matchers"
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version = "0.1.0"
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@ -3903,7 +3916,7 @@ dependencies = [
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"query_functions",
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"schema",
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"snafu",
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"sqlparser 0.27.0",
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"sqlparser",
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"test_helpers",
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"workspace-hack",
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]
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@ -5052,15 +5065,6 @@ dependencies = [
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"unicode_categories",
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]
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[[package]]
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name = "sqlparser"
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version = "0.26.0"
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source = "registry+https://github.com/rust-lang/crates.io-index"
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checksum = "86be66ea0b2b22749cfa157d16e2e84bf793e626a3375f4d378dc289fa03affb"
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dependencies = [
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"log",
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]
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[[package]]
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name = "sqlparser"
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version = "0.27.0"
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@ -6288,7 +6292,6 @@ dependencies = [
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name = "workspace-hack"
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version = "0.1.0"
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dependencies = [
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"ahash 0.7.6",
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"ahash 0.8.2",
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"arrow",
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"base64",
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@ -6304,6 +6307,7 @@ dependencies = [
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"either",
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"fixedbitset",
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"flatbuffers",
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"flate2",
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"futures-channel",
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"futures-core",
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"futures-io",
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@ -6416,6 +6420,15 @@ dependencies = [
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"workspace-hack",
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]
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[[package]]
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name = "xz2"
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version = "0.1.7"
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source = "registry+https://github.com/rust-lang/crates.io-index"
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checksum = "388c44dc09d76f1536602ead6d325eb532f5c122f17782bd57fb47baeeb767e2"
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dependencies = [
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"lzma-sys",
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]
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[[package]]
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name = "yaml-rust"
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version = "0.4.5"
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@ -113,8 +113,8 @@ license = "MIT OR Apache-2.0"
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[workspace.dependencies]
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arrow = { version = "27.0.0" }
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arrow-flight = { version = "27.0.0" }
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datafusion = { git = "https://github.com/apache/arrow-datafusion.git", rev="ebb24c5bf46f2af362aebffba2012875b328e799", default-features = false }
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datafusion-proto = { git = "https://github.com/apache/arrow-datafusion.git", rev="ebb24c5bf46f2af362aebffba2012875b328e799" }
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datafusion = { git = "https://github.com/apache/arrow-datafusion.git", rev="a61615b2949bea9027eefe686613605e135780f2", default-features = false }
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datafusion-proto = { git = "https://github.com/apache/arrow-datafusion.git", rev="a61615b2949bea9027eefe686613605e135780f2" }
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hashbrown = { version = "0.13.1" }
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parquet = { version = "27.0.0" }
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@ -314,7 +314,7 @@ mod test {
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if !(self.pred)(plan) {
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return Ok(true);
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}
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let metrics = plan.metrics().unwrap().aggregate_by_partition();
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let metrics = plan.metrics().unwrap().aggregate_by_name();
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let mut elapsed_compute: Option<metrics::Time> = None;
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let mut output_rows: Option<metrics::Count> = None;
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let mut start_timestamp: Option<metrics::Timestamp> = None;
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@ -393,6 +393,12 @@ trait Selector: Debug + Default + Send + Sync {
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/// Update this selector's state based on values in value_arr and time_arr
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fn update_batch(&mut self, value_arr: &ArrayRef, time_arr: &ArrayRef) -> DataFusionResult<()>;
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/// Allocated size required for this selector, in bytes,
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/// including `Self`. Allocated means that for internal
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/// containers such as `Vec`, the `capacity` should be used not
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/// the `len`
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fn size(&self) -> usize;
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}
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/// Describes which part of the selector to return: the timestamp or
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@ -527,6 +533,14 @@ where
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self.selector.datafusion_state()
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}
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/// Allocated size required for this accumulator, in bytes,
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/// including `Self`. Allocated means that for internal
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/// containers such as `Vec`, the `capacity` should be used not
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/// the `len`
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fn size(&self) -> usize {
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std::mem::size_of_val(self) - std::mem::size_of_val(&self.selector) + self.selector.size()
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}
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// Return the final value of this aggregator.
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fn evaluate(&self) -> DataFusionResult<ScalarValue> {
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self.selector.evaluate(&self.output)
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@ -225,6 +225,11 @@ macro_rules! make_first_selector {
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Ok(())
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}
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fn size(&self) -> usize {
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// no nested types
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std::mem::size_of_val(self)
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}
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}
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};
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}
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@ -335,6 +340,11 @@ macro_rules! make_last_selector {
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Ok(())
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}
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fn size(&self) -> usize {
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// no nested types
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std::mem::size_of_val(self)
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}
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}
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};
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}
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@ -476,6 +486,11 @@ macro_rules! make_min_selector {
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}
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Ok(())
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}
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fn size(&self) -> usize {
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// no nested types
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std::mem::size_of_val(self)
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}
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}
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};
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}
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@ -593,6 +608,11 @@ macro_rules! make_max_selector {
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}
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Ok(())
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}
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fn size(&self) -> usize {
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// no nested types
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std::mem::size_of_val(self)
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}
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}
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};
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}
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@ -33,9 +33,9 @@
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+-----+-----+-----+----------------------+
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-- SQL: EXPLAIN SELECT * FROM "table" WHERE tag='A';
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-- Results After Normalizing UUIDs
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+---------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
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+---------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
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| plan_type | plan |
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+---------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
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+---------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
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| logical_plan | Projection: table.bar, table.foo, table.tag, table.time |
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| | Filter: table.tag = Dictionary(Int32, Utf8("A")) |
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| | TableScan: table projection=[bar, foo, tag, time], partial_filters=[table.tag = Dictionary(Int32, Utf8("A"))] |
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@ -46,10 +46,10 @@
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| | DeduplicateExec: [tag@2 ASC,time@3 ASC] |
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| | SortPreservingMergeExec: [tag@2 ASC,time@3 ASC] |
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| | UnionExec |
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| | ParquetExec: limit=None, partitions=[1/1/1/1/00000000-0000-0000-0000-000000000000.parquet], predicate=tag_min@0 <= A AND A <= tag_max@1, output_ordering=[tag@2 ASC, time@3 ASC], projection=[bar, foo, tag, time] |
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| | ParquetExec: limit=None, partitions=[1/1/1/1/00000000-0000-0000-0000-000000000001.parquet], predicate=tag_min@0 <= A AND A <= tag_max@1, output_ordering=[tag@2 ASC, time@3 ASC], projection=[bar, foo, tag, time] |
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| | ParquetExec: limit=None, partitions=[1/1/1/1/00000000-0000-0000-0000-000000000000.parquet], predicate=tag = Dictionary(Int32, Utf8("A")), pruning_predicate=tag_min@0 <= A AND A <= tag_max@1, output_ordering=[tag@2 ASC, time@3 ASC], projection=[bar, foo, tag, time] |
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| | ParquetExec: limit=None, partitions=[1/1/1/1/00000000-0000-0000-0000-000000000001.parquet], predicate=tag = Dictionary(Int32, Utf8("A")), pruning_predicate=tag_min@0 <= A AND A <= tag_max@1, output_ordering=[tag@2 ASC, time@3 ASC], projection=[bar, foo, tag, time] |
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| | |
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+---------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
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+---------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
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-- SQL: SELECT * FROM "table" WHERE foo=1 AND bar=2;
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+-----+-----+-----+----------------------+
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| bar | foo | tag | time |
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@ -84,9 +84,9 @@
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+-----+-----+-----+----------------------+
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-- SQL: EXPLAIN SELECT * FROM "table" WHERE time=to_timestamp('1970-01-01T00:00:00.000000000+00:00') ORDER BY tag;
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-- Results After Normalizing UUIDs
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+---------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
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+---------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
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| plan_type | plan |
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+---------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
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+---------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
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| logical_plan | Sort: table.tag ASC NULLS LAST |
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| | Projection: table.bar, table.foo, table.tag, table.time |
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| | Filter: table.time = TimestampNanosecond(0, None) |
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@ -100,10 +100,10 @@
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| | DeduplicateExec: [tag@2 ASC,time@3 ASC] |
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| | SortPreservingMergeExec: [tag@2 ASC,time@3 ASC] |
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| | UnionExec |
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| | ParquetExec: limit=None, partitions=[1/1/1/1/00000000-0000-0000-0000-000000000000.parquet], predicate=time_min@0 <= 0 AND 0 <= time_max@1, output_ordering=[tag@2 ASC, time@3 ASC], projection=[bar, foo, tag, time] |
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| | ParquetExec: limit=None, partitions=[1/1/1/1/00000000-0000-0000-0000-000000000001.parquet], predicate=time_min@0 <= 0 AND 0 <= time_max@1, output_ordering=[tag@2 ASC, time@3 ASC], projection=[bar, foo, tag, time] |
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| | ParquetExec: limit=None, partitions=[1/1/1/1/00000000-0000-0000-0000-000000000000.parquet], predicate=time = TimestampNanosecond(0, None), pruning_predicate=time_min@0 <= 0 AND 0 <= time_max@1, output_ordering=[tag@2 ASC, time@3 ASC], projection=[bar, foo, tag, time] |
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| | ParquetExec: limit=None, partitions=[1/1/1/1/00000000-0000-0000-0000-000000000001.parquet], predicate=time = TimestampNanosecond(0, None), pruning_predicate=time_min@0 <= 0 AND 0 <= time_max@1, output_ordering=[tag@2 ASC, time@3 ASC], projection=[bar, foo, tag, time] |
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| | |
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+---------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
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+---------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
-- SQL: SELECT * FROM "table" WHERE tag='A' AND foo=1 AND time=to_timestamp('1970-01-01T00:00:00.000000000+00:00');
|
||||
+-----+-----+-----+----------------------+
|
||||
| bar | foo | tag | time |
|
||||
|
|
@ -112,9 +112,9 @@
|
|||
+-----+-----+-----+----------------------+
|
||||
-- SQL: EXPLAIN SELECT * FROM "table" WHERE tag='A' AND foo=1 AND time=to_timestamp('1970-01-01T00:00:00.000000000+00:00');
|
||||
-- Results After Normalizing UUIDs
|
||||
+---------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
+---------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
| plan_type | plan |
|
||||
+---------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
+---------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
| logical_plan | Projection: table.bar, table.foo, table.tag, table.time |
|
||||
| | Filter: table.tag = Dictionary(Int32, Utf8("A")) AND table.foo = Float64(1) AND table.time = TimestampNanosecond(0, None) |
|
||||
| | TableScan: table projection=[bar, foo, tag, time], partial_filters=[table.tag = Dictionary(Int32, Utf8("A")), table.foo = Float64(1), table.time = TimestampNanosecond(0, None)] |
|
||||
|
|
@ -125,7 +125,7 @@
|
|||
| | DeduplicateExec: [tag@2 ASC,time@3 ASC] |
|
||||
| | SortPreservingMergeExec: [tag@2 ASC,time@3 ASC] |
|
||||
| | UnionExec |
|
||||
| | ParquetExec: limit=None, partitions=[1/1/1/1/00000000-0000-0000-0000-000000000000.parquet], predicate=tag_min@0 <= A AND A <= tag_max@1 AND time_min@2 <= 0 AND 0 <= time_max@3, output_ordering=[tag@2 ASC, time@3 ASC], projection=[bar, foo, tag, time] |
|
||||
| | ParquetExec: limit=None, partitions=[1/1/1/1/00000000-0000-0000-0000-000000000001.parquet], predicate=tag_min@0 <= A AND A <= tag_max@1 AND time_min@2 <= 0 AND 0 <= time_max@3, output_ordering=[tag@2 ASC, time@3 ASC], projection=[bar, foo, tag, time] |
|
||||
| | ParquetExec: limit=None, partitions=[1/1/1/1/00000000-0000-0000-0000-000000000000.parquet], predicate=tag = Dictionary(Int32, Utf8("A")) AND time = TimestampNanosecond(0, None), pruning_predicate=tag_min@0 <= A AND A <= tag_max@1 AND time_min@2 <= 0 AND 0 <= time_max@3, output_ordering=[tag@2 ASC, time@3 ASC], projection=[bar, foo, tag, time] |
|
||||
| | ParquetExec: limit=None, partitions=[1/1/1/1/00000000-0000-0000-0000-000000000001.parquet], predicate=tag = Dictionary(Int32, Utf8("A")) AND time = TimestampNanosecond(0, None), pruning_predicate=tag_min@0 <= A AND A <= tag_max@1 AND time_min@2 <= 0 AND 0 <= time_max@3, output_ordering=[tag@2 ASC, time@3 ASC], projection=[bar, foo, tag, time] |
|
||||
| | |
|
||||
+---------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
+---------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
|
|
|
|||
|
|
@ -34,9 +34,9 @@
|
|||
+-----+-----+-----+----------------------+
|
||||
-- SQL: EXPLAIN SELECT * FROM "table" WHERE tag='A';
|
||||
-- Results After Normalizing UUIDs
|
||||
+---------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
+---------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
| plan_type | plan |
|
||||
+---------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
+---------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
| logical_plan | Projection: table.bar, table.foo, table.tag, table.time |
|
||||
| | Filter: table.tag = Dictionary(Int32, Utf8("A")) |
|
||||
| | TableScan: table projection=[bar, foo, tag, time], partial_filters=[table.tag = Dictionary(Int32, Utf8("A"))] |
|
||||
|
|
@ -47,11 +47,11 @@
|
|||
| | DeduplicateExec: [tag@2 ASC,time@3 ASC] |
|
||||
| | SortPreservingMergeExec: [tag@2 ASC,time@3 ASC] |
|
||||
| | UnionExec |
|
||||
| | ParquetExec: limit=None, partitions=[1/1/1/1/00000000-0000-0000-0000-000000000000.parquet], predicate=tag_min@0 <= A AND A <= tag_max@1, output_ordering=[tag@2 ASC, time@3 ASC], projection=[bar, foo, tag, time] |
|
||||
| | ParquetExec: limit=None, partitions=[1/1/1/1/00000000-0000-0000-0000-000000000000.parquet], predicate=tag = Dictionary(Int32, Utf8("A")), pruning_predicate=tag_min@0 <= A AND A <= tag_max@1, output_ordering=[tag@2 ASC, time@3 ASC], projection=[bar, foo, tag, time] |
|
||||
| | SortExec: [tag@2 ASC,time@3 ASC] |
|
||||
| | RecordBatchesExec: batches_groups=1 batches=1 |
|
||||
| | |
|
||||
+---------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
+---------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
-- SQL: SELECT * FROM "table" WHERE foo=1 AND bar=2;
|
||||
+-----+-----+-----+----------------------+
|
||||
| bar | foo | tag | time |
|
||||
|
|
@ -87,9 +87,9 @@
|
|||
+-----+-----+-----+----------------------+
|
||||
-- SQL: EXPLAIN SELECT * FROM "table" WHERE time=to_timestamp('1970-01-01T00:00:00.000000000+00:00') ORDER BY tag;
|
||||
-- Results After Normalizing UUIDs
|
||||
+---------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
+---------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
| plan_type | plan |
|
||||
+---------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
+---------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
| logical_plan | Sort: table.tag ASC NULLS LAST |
|
||||
| | Projection: table.bar, table.foo, table.tag, table.time |
|
||||
| | Filter: table.time = TimestampNanosecond(0, None) |
|
||||
|
|
@ -103,11 +103,11 @@
|
|||
| | DeduplicateExec: [tag@2 ASC,time@3 ASC] |
|
||||
| | SortPreservingMergeExec: [tag@2 ASC,time@3 ASC] |
|
||||
| | UnionExec |
|
||||
| | ParquetExec: limit=None, partitions=[1/1/1/1/00000000-0000-0000-0000-000000000000.parquet], predicate=time_min@0 <= 0 AND 0 <= time_max@1, output_ordering=[tag@2 ASC, time@3 ASC], projection=[bar, foo, tag, time] |
|
||||
| | ParquetExec: limit=None, partitions=[1/1/1/1/00000000-0000-0000-0000-000000000000.parquet], predicate=time = TimestampNanosecond(0, None), pruning_predicate=time_min@0 <= 0 AND 0 <= time_max@1, output_ordering=[tag@2 ASC, time@3 ASC], projection=[bar, foo, tag, time] |
|
||||
| | SortExec: [tag@2 ASC,time@3 ASC] |
|
||||
| | RecordBatchesExec: batches_groups=1 batches=1 |
|
||||
| | |
|
||||
+---------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
+---------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
-- SQL: SELECT * FROM "table" WHERE tag='A' AND foo=1 AND time=to_timestamp('1970-01-01T00:00:00.000000000+00:00');
|
||||
+-----+-----+-----+----------------------+
|
||||
| bar | foo | tag | time |
|
||||
|
|
@ -116,9 +116,9 @@
|
|||
+-----+-----+-----+----------------------+
|
||||
-- SQL: EXPLAIN SELECT * FROM "table" WHERE tag='A' AND foo=1 AND time=to_timestamp('1970-01-01T00:00:00.000000000+00:00');
|
||||
-- Results After Normalizing UUIDs
|
||||
+---------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
+---------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
| plan_type | plan |
|
||||
+---------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
+---------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
| logical_plan | Projection: table.bar, table.foo, table.tag, table.time |
|
||||
| | Filter: table.tag = Dictionary(Int32, Utf8("A")) AND table.foo = Float64(1) AND table.time = TimestampNanosecond(0, None) |
|
||||
| | TableScan: table projection=[bar, foo, tag, time], partial_filters=[table.tag = Dictionary(Int32, Utf8("A")), table.foo = Float64(1), table.time = TimestampNanosecond(0, None)] |
|
||||
|
|
@ -129,8 +129,8 @@
|
|||
| | DeduplicateExec: [tag@2 ASC,time@3 ASC] |
|
||||
| | SortPreservingMergeExec: [tag@2 ASC,time@3 ASC] |
|
||||
| | UnionExec |
|
||||
| | ParquetExec: limit=None, partitions=[1/1/1/1/00000000-0000-0000-0000-000000000000.parquet], predicate=tag_min@0 <= A AND A <= tag_max@1 AND time_min@2 <= 0 AND 0 <= time_max@3, output_ordering=[tag@2 ASC, time@3 ASC], projection=[bar, foo, tag, time] |
|
||||
| | ParquetExec: limit=None, partitions=[1/1/1/1/00000000-0000-0000-0000-000000000000.parquet], predicate=tag = Dictionary(Int32, Utf8("A")) AND time = TimestampNanosecond(0, None), pruning_predicate=tag_min@0 <= A AND A <= tag_max@1 AND time_min@2 <= 0 AND 0 <= time_max@3, output_ordering=[tag@2 ASC, time@3 ASC], projection=[bar, foo, tag, time] |
|
||||
| | SortExec: [tag@2 ASC,time@3 ASC] |
|
||||
| | RecordBatchesExec: batches_groups=1 batches=1 |
|
||||
| | |
|
||||
+---------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
+---------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
|
|
|
|||
|
|
@ -86,13 +86,13 @@
|
|||
| | ProjectionExec: expr=[area@0 as area, city@1 as city, max_temp@2 as max_temp, min_temp@3 as min_temp, state@4 as state, time@5 as time], metrics=[elapsed_compute=1.234ms, mem_used=0, output_rows=10, spill_count=0, spilled_bytes=0] |
|
||||
| | CoalesceBatchesExec: target_batch_size=4096, metrics=[elapsed_compute=1.234ms, mem_used=0, output_rows=10, spill_count=0, spilled_bytes=0] |
|
||||
| | FilterExec: state@4 = MA, metrics=[elapsed_compute=1.234ms, mem_used=0, output_rows=10, spill_count=0, spilled_bytes=0] |
|
||||
| | RepartitionExec: partitioning=RoundRobinBatch(4), metrics=[fetch_time{inputPartition=0}=1.234ms, repart_time{inputPartition=0}=1.234ms, send_time{inputPartition=0}=1.234ms] |
|
||||
| | RepartitionExec: partitioning=RoundRobinBatch(4), metrics=[fetch_time=1.234ms, repart_time=1.234ms, send_time=1.234ms] |
|
||||
| | UnionExec, metrics=[elapsed_compute=1.234ms, mem_used=0, output_rows=10, spill_count=0, spilled_bytes=0] |
|
||||
| | DeduplicateExec: [state@4 ASC,city@1 ASC,time@5 ASC], metrics=[elapsed_compute=1.234ms, mem_used=0, num_dupes=2, output_rows=5, spill_count=0, spilled_bytes=0] |
|
||||
| | SortPreservingMergeExec: [state@4 ASC,city@1 ASC,time@5 ASC], metrics=[elapsed_compute=1.234ms, mem_used=0, output_rows=7, spill_count=0, spilled_bytes=0] |
|
||||
| | UnionExec, metrics=[elapsed_compute=1.234ms, mem_used=0, output_rows=7, spill_count=0, spilled_bytes=0] |
|
||||
| | ParquetExec: limit=None, partitions=[1/1/1/1/00000000-0000-0000-0000-000000000000.parquet], predicate=state_min@0 <= MA AND MA <= state_max@1, output_ordering=[state@4 ASC, city@1 ASC, time@5 ASC], projection=[area, city, max_temp, min_temp, state, time], metrics=[bytes_scanned{filename=1/1/1/1/00000000-0000-0000-0000-000000000000.parquet}=474, elapsed_compute=1.234ms, mem_used=0, num_predicate_creation_errors=0, output_rows=4, page_index_eval_time{filename=1/1/1/1/00000000-0000-0000-0000-000000000000.parquet}=1.234ms, page_index_rows_filtered{filename=1/1/1/1/00000000-0000-0000-0000-000000000000.parquet}=0, predicate_evaluation_errors{filename=1/1/1/1/00000000-0000-0000-0000-000000000000.parquet}=0, pushdown_eval_time{filename=1/1/1/1/00000000-0000-0000-0000-000000000000.parquet}=1.234ms, pushdown_rows_filtered{filename=1/1/1/1/00000000-0000-0000-0000-000000000000.parquet}=0, row_groups_pruned{filename=1/1/1/1/00000000-0000-0000-0000-000000000000.parquet}=0, spill_count=0, spilled_bytes=0, time_elapsed_opening=1.234ms, time_elapsed_processing=1.234ms, time_elapsed_scanning=1.234ms] |
|
||||
| | ParquetExec: limit=None, partitions=[1/1/1/1/00000000-0000-0000-0000-000000000001.parquet], predicate=state_min@0 <= MA AND MA <= state_max@1, output_ordering=[state@4 ASC, city@1 ASC, time@5 ASC], projection=[area, city, max_temp, min_temp, state, time], metrics=[bytes_scanned{filename=1/1/1/1/00000000-0000-0000-0000-000000000001.parquet}=632, elapsed_compute=1.234ms, mem_used=0, num_predicate_creation_errors=0, output_rows=3, page_index_eval_time{filename=1/1/1/1/00000000-0000-0000-0000-000000000001.parquet}=1.234ms, page_index_rows_filtered{filename=1/1/1/1/00000000-0000-0000-0000-000000000001.parquet}=0, predicate_evaluation_errors{filename=1/1/1/1/00000000-0000-0000-0000-000000000001.parquet}=0, pushdown_eval_time{filename=1/1/1/1/00000000-0000-0000-0000-000000000001.parquet}=1.234ms, pushdown_rows_filtered{filename=1/1/1/1/00000000-0000-0000-0000-000000000001.parquet}=3, row_groups_pruned{filename=1/1/1/1/00000000-0000-0000-0000-000000000001.parquet}=0, spill_count=0, spilled_bytes=0, time_elapsed_opening=1.234ms, time_elapsed_processing=1.234ms, time_elapsed_scanning=1.234ms] |
|
||||
| | ParquetExec: limit=None, partitions=[1/1/1/1/00000000-0000-0000-0000-000000000002.parquet, 1/1/1/1/00000000-0000-0000-0000-000000000003.parquet], predicate=state_min@0 <= MA AND MA <= state_max@1, projection=[area, city, max_temp, min_temp, state, time], metrics=[bytes_scanned{filename=1/1/1/1/00000000-0000-0000-0000-000000000002.parquet}=591, bytes_scanned{filename=1/1/1/1/00000000-0000-0000-0000-000000000003.parquet}=628, elapsed_compute=1.234ms, mem_used=0, num_predicate_creation_errors=0, output_rows=5, page_index_eval_time{filename=1/1/1/1/00000000-0000-0000-0000-000000000002.parquet}=1.234ms, page_index_eval_time{filename=1/1/1/1/00000000-0000-0000-0000-000000000003.parquet}=1.234ms, page_index_rows_filtered{filename=1/1/1/1/00000000-0000-0000-0000-000000000002.parquet}=0, page_index_rows_filtered{filename=1/1/1/1/00000000-0000-0000-0000-000000000003.parquet}=0, predicate_evaluation_errors{filename=1/1/1/1/00000000-0000-0000-0000-000000000002.parquet}=0, predicate_evaluation_errors{filename=1/1/1/1/00000000-0000-0000-0000-000000000003.parquet}=0, pushdown_eval_time{filename=1/1/1/1/00000000-0000-0000-0000-000000000002.parquet}=1.234ms, pushdown_eval_time{filename=1/1/1/1/00000000-0000-0000-0000-000000000003.parquet}=1.234ms, pushdown_rows_filtered{filename=1/1/1/1/00000000-0000-0000-0000-000000000002.parquet}=2, pushdown_rows_filtered{filename=1/1/1/1/00000000-0000-0000-0000-000000000003.parquet}=3, row_groups_pruned{filename=1/1/1/1/00000000-0000-0000-0000-000000000002.parquet}=0, row_groups_pruned{filename=1/1/1/1/00000000-0000-0000-0000-000000000003.parquet}=0, spill_count=0, spilled_bytes=0, time_elapsed_opening=1.234ms, time_elapsed_processing=1.234ms, time_elapsed_scanning=1.234ms] |
|
||||
| | ParquetExec: limit=None, partitions=[1/1/1/1/00000000-0000-0000-0000-000000000000.parquet], predicate=state = Dictionary(Int32, Utf8("MA")), pruning_predicate=state_min@0 <= MA AND MA <= state_max@1, output_ordering=[state@4 ASC, city@1 ASC, time@5 ASC], projection=[area, city, max_temp, min_temp, state, time], metrics=[bytes_scanned=474, elapsed_compute=1.234ms, mem_used=0, num_predicate_creation_errors=0, output_rows=4, page_index_eval_time=1.234ms, page_index_rows_filtered=0, predicate_evaluation_errors=0, pushdown_eval_time=1.234ms, pushdown_rows_filtered=0, row_groups_pruned=0, spill_count=0, spilled_bytes=0, time_elapsed_opening=1.234ms, time_elapsed_processing=1.234ms, time_elapsed_scanning=1.234ms] |
|
||||
| | ParquetExec: limit=None, partitions=[1/1/1/1/00000000-0000-0000-0000-000000000001.parquet], predicate=state = Dictionary(Int32, Utf8("MA")), pruning_predicate=state_min@0 <= MA AND MA <= state_max@1, output_ordering=[state@4 ASC, city@1 ASC, time@5 ASC], projection=[area, city, max_temp, min_temp, state, time], metrics=[bytes_scanned=632, elapsed_compute=1.234ms, mem_used=0, num_predicate_creation_errors=0, output_rows=3, page_index_eval_time=1.234ms, page_index_rows_filtered=0, predicate_evaluation_errors=0, pushdown_eval_time=1.234ms, pushdown_rows_filtered=3, row_groups_pruned=0, spill_count=0, spilled_bytes=0, time_elapsed_opening=1.234ms, time_elapsed_processing=1.234ms, time_elapsed_scanning=1.234ms] |
|
||||
| | ParquetExec: limit=None, partitions=[1/1/1/1/00000000-0000-0000-0000-000000000002.parquet, 1/1/1/1/00000000-0000-0000-0000-000000000003.parquet], predicate=state = Dictionary(Int32, Utf8("MA")), pruning_predicate=state_min@0 <= MA AND MA <= state_max@1, projection=[area, city, max_temp, min_temp, state, time], metrics=[bytes_scanned=1219, elapsed_compute=1.234ms, mem_used=0, num_predicate_creation_errors=0, output_rows=5, page_index_eval_time=1.234ms, page_index_rows_filtered=0, predicate_evaluation_errors=0, pushdown_eval_time=1.234ms, pushdown_rows_filtered=5, row_groups_pruned=0, spill_count=0, spilled_bytes=0, time_elapsed_opening=1.234ms, time_elapsed_processing=1.234ms, time_elapsed_scanning=1.234ms] |
|
||||
| | |
|
||||
----------
|
||||
|
|
|
|||
|
|
@ -37,9 +37,9 @@
|
|||
+-------+--------+--------------------------------+-----------+
|
||||
-- SQL: EXPLAIN SELECT * from restaurant where count > 200;
|
||||
-- Results After Normalizing UUIDs
|
||||
+---------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
+---------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
| plan_type | plan |
|
||||
+---------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
+---------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
| logical_plan | Projection: restaurant.count, restaurant.system, restaurant.time, restaurant.town |
|
||||
| | Filter: restaurant.count > UInt64(200) |
|
||||
| | TableScan: restaurant projection=[count, system, time, town], partial_filters=[restaurant.count > UInt64(200)] |
|
||||
|
|
@ -47,14 +47,14 @@
|
|||
| | CoalesceBatchesExec: target_batch_size=4096 |
|
||||
| | FilterExec: count@0 > 200 |
|
||||
| | RepartitionExec: partitioning=RoundRobinBatch(4) |
|
||||
| | ParquetExec: limit=None, partitions=[1/1/1/1/00000000-0000-0000-0000-000000000000.parquet], predicate=count_max@0 > 200, projection=[count, system, time, town] |
|
||||
| | ParquetExec: limit=None, partitions=[1/1/1/1/00000000-0000-0000-0000-000000000000.parquet], predicate=count > UInt64(200), pruning_predicate=count_max@0 > 200, projection=[count, system, time, town] |
|
||||
| | |
|
||||
+---------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
+---------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
-- SQL: EXPLAIN SELECT * from restaurant where count > 200.0;
|
||||
-- Results After Normalizing UUIDs
|
||||
+---------------+------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
+---------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
| plan_type | plan |
|
||||
+---------------+------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
+---------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
| logical_plan | Projection: restaurant.count, restaurant.system, restaurant.time, restaurant.town |
|
||||
| | Filter: CAST(restaurant.count AS Float64) > Float64(200) |
|
||||
| | TableScan: restaurant projection=[count, system, time, town], partial_filters=[CAST(restaurant.count AS Float64) > Float64(200)] |
|
||||
|
|
@ -62,14 +62,14 @@
|
|||
| | CoalesceBatchesExec: target_batch_size=4096 |
|
||||
| | FilterExec: CAST(count@0 AS Float64) > 200 |
|
||||
| | RepartitionExec: partitioning=RoundRobinBatch(4) |
|
||||
| | ParquetExec: limit=None, partitions=[1/1/1/1/00000000-0000-0000-0000-000000000000.parquet], predicate=true, projection=[count, system, time, town] |
|
||||
| | ParquetExec: limit=None, partitions=[1/1/1/1/00000000-0000-0000-0000-000000000000.parquet], predicate=CAST(count AS Float64) > Float64(200), projection=[count, system, time, town] |
|
||||
| | |
|
||||
+---------------+------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
+---------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
-- SQL: EXPLAIN SELECT * from restaurant where system > 4.0;
|
||||
-- Results After Normalizing UUIDs
|
||||
+---------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
+---------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
| plan_type | plan |
|
||||
+---------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
+---------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
| logical_plan | Projection: restaurant.count, restaurant.system, restaurant.time, restaurant.town |
|
||||
| | Filter: restaurant.system > Float64(4) |
|
||||
| | TableScan: restaurant projection=[count, system, time, town], partial_filters=[restaurant.system > Float64(4)] |
|
||||
|
|
@ -77,9 +77,9 @@
|
|||
| | CoalesceBatchesExec: target_batch_size=4096 |
|
||||
| | FilterExec: system@1 > 4 |
|
||||
| | RepartitionExec: partitioning=RoundRobinBatch(4) |
|
||||
| | ParquetExec: limit=None, partitions=[1/1/1/1/00000000-0000-0000-0000-000000000000.parquet], predicate=system_max@0 > 4, projection=[count, system, time, town] |
|
||||
| | ParquetExec: limit=None, partitions=[1/1/1/1/00000000-0000-0000-0000-000000000000.parquet], predicate=system > Float64(4), pruning_predicate=system_max@0 > 4, projection=[count, system, time, town] |
|
||||
| | |
|
||||
+---------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
+---------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
-- SQL: SELECT * from restaurant where count > 200 and town != 'tewsbury';
|
||||
-- Results After Sorting
|
||||
+-------+--------+--------------------------------+-----------+
|
||||
|
|
@ -93,9 +93,9 @@
|
|||
+-------+--------+--------------------------------+-----------+
|
||||
-- SQL: EXPLAIN SELECT * from restaurant where count > 200 and town != 'tewsbury';
|
||||
-- Results After Normalizing UUIDs
|
||||
+---------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
+---------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
| plan_type | plan |
|
||||
+---------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
+---------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
| logical_plan | Projection: restaurant.count, restaurant.system, restaurant.time, restaurant.town |
|
||||
| | Filter: restaurant.count > UInt64(200) AND restaurant.town != Dictionary(Int32, Utf8("tewsbury")) |
|
||||
| | TableScan: restaurant projection=[count, system, time, town], partial_filters=[restaurant.count > UInt64(200), restaurant.town != Dictionary(Int32, Utf8("tewsbury"))] |
|
||||
|
|
@ -103,9 +103,9 @@
|
|||
| | CoalesceBatchesExec: target_batch_size=4096 |
|
||||
| | FilterExec: count@0 > 200 AND town@3 != tewsbury |
|
||||
| | RepartitionExec: partitioning=RoundRobinBatch(4) |
|
||||
| | ParquetExec: limit=None, partitions=[1/1/1/1/00000000-0000-0000-0000-000000000000.parquet], predicate=count_max@0 > 200 AND town_min@1 != tewsbury OR tewsbury != town_max@2, projection=[count, system, time, town] |
|
||||
| | ParquetExec: limit=None, partitions=[1/1/1/1/00000000-0000-0000-0000-000000000000.parquet], predicate=count > UInt64(200) AND town != Dictionary(Int32, Utf8("tewsbury")), pruning_predicate=count_max@0 > 200 AND town_min@1 != tewsbury OR tewsbury != town_max@2, projection=[count, system, time, town] |
|
||||
| | |
|
||||
+---------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
+---------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
-- SQL: SELECT * from restaurant where count > 200 and town != 'tewsbury' and (system =5 or town = 'lawrence');
|
||||
-- Results After Sorting
|
||||
+-------+--------+--------------------------------+-----------+
|
||||
|
|
@ -118,9 +118,9 @@
|
|||
+-------+--------+--------------------------------+-----------+
|
||||
-- SQL: EXPLAIN SELECT * from restaurant where count > 200 and town != 'tewsbury' and (system =5 or town = 'lawrence');
|
||||
-- Results After Normalizing UUIDs
|
||||
+---------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
+---------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
| plan_type | plan |
|
||||
+---------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
+---------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
| logical_plan | Projection: restaurant.count, restaurant.system, restaurant.time, restaurant.town |
|
||||
| | Filter: restaurant.count > UInt64(200) AND restaurant.town != Dictionary(Int32, Utf8("tewsbury")) AND (restaurant.system = Float64(5) OR restaurant.town = Dictionary(Int32, Utf8("lawrence"))) |
|
||||
| | TableScan: restaurant projection=[count, system, time, town], partial_filters=[restaurant.count > UInt64(200), restaurant.town != Dictionary(Int32, Utf8("tewsbury")), restaurant.system = Float64(5) OR restaurant.town = Dictionary(Int32, Utf8("lawrence"))] |
|
||||
|
|
@ -128,9 +128,9 @@
|
|||
| | CoalesceBatchesExec: target_batch_size=4096 |
|
||||
| | FilterExec: count@0 > 200 AND town@3 != tewsbury AND system@1 = 5 OR town@3 = lawrence |
|
||||
| | RepartitionExec: partitioning=RoundRobinBatch(4) |
|
||||
| | ParquetExec: limit=None, partitions=[1/1/1/1/00000000-0000-0000-0000-000000000000.parquet], predicate=count_max@0 > 200 AND town_min@1 != tewsbury OR tewsbury != town_max@2 AND system_min@3 <= 5 AND 5 <= system_max@4 OR town_min@1 <= lawrence AND lawrence <= town_max@2, projection=[count, system, time, town] |
|
||||
| | ParquetExec: limit=None, partitions=[1/1/1/1/00000000-0000-0000-0000-000000000000.parquet], predicate=count > UInt64(200) AND town != Dictionary(Int32, Utf8("tewsbury")) AND (system = Float64(5) OR town = Dictionary(Int32, Utf8("lawrence"))), pruning_predicate=count_max@0 > 200 AND town_min@1 != tewsbury OR tewsbury != town_max@2 AND system_min@3 <= 5 AND 5 <= system_max@4 OR town_min@1 <= lawrence AND lawrence <= town_max@2, projection=[count, system, time, town] |
|
||||
| | |
|
||||
+---------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
+---------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
-- SQL: SELECT * from restaurant where count > 200 and town != 'tewsbury' and (system =5 or town = 'lawrence') and count < 40000;
|
||||
-- Results After Sorting
|
||||
+-------+--------+--------------------------------+-----------+
|
||||
|
|
@ -142,9 +142,9 @@
|
|||
+-------+--------+--------------------------------+-----------+
|
||||
-- SQL: EXPLAIN SELECT * from restaurant where count > 200 and town != 'tewsbury' and (system =5 or town = 'lawrence') and count < 40000;
|
||||
-- Results After Normalizing UUIDs
|
||||
+---------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
+---------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
| plan_type | plan |
|
||||
+---------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
+---------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
| logical_plan | Projection: restaurant.count, restaurant.system, restaurant.time, restaurant.town |
|
||||
| | Filter: restaurant.count > UInt64(200) AND restaurant.town != Dictionary(Int32, Utf8("tewsbury")) AND (restaurant.system = Float64(5) OR restaurant.town = Dictionary(Int32, Utf8("lawrence"))) AND restaurant.count < UInt64(40000) |
|
||||
| | TableScan: restaurant projection=[count, system, time, town], partial_filters=[restaurant.count > UInt64(200), restaurant.town != Dictionary(Int32, Utf8("tewsbury")), restaurant.system = Float64(5) OR restaurant.town = Dictionary(Int32, Utf8("lawrence")), restaurant.count < UInt64(40000)] |
|
||||
|
|
@ -152,9 +152,9 @@
|
|||
| | CoalesceBatchesExec: target_batch_size=4096 |
|
||||
| | FilterExec: count@0 > 200 AND town@3 != tewsbury AND system@1 = 5 OR town@3 = lawrence AND count@0 < 40000 |
|
||||
| | RepartitionExec: partitioning=RoundRobinBatch(4) |
|
||||
| | ParquetExec: limit=None, partitions=[1/1/1/1/00000000-0000-0000-0000-000000000000.parquet], predicate=count_max@0 > 200 AND town_min@1 != tewsbury OR tewsbury != town_max@2 AND system_min@3 <= 5 AND 5 <= system_max@4 OR town_min@1 <= lawrence AND lawrence <= town_max@2 AND count_min@5 < 40000, projection=[count, system, time, town] |
|
||||
| | ParquetExec: limit=None, partitions=[1/1/1/1/00000000-0000-0000-0000-000000000000.parquet], predicate=count > UInt64(200) AND town != Dictionary(Int32, Utf8("tewsbury")) AND (system = Float64(5) OR town = Dictionary(Int32, Utf8("lawrence"))) AND count < UInt64(40000), pruning_predicate=count_max@0 > 200 AND town_min@1 != tewsbury OR tewsbury != town_max@2 AND system_min@3 <= 5 AND 5 <= system_max@4 OR town_min@1 <= lawrence AND lawrence <= town_max@2 AND count_min@5 < 40000, projection=[count, system, time, town] |
|
||||
| | |
|
||||
+---------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
+---------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
-- SQL: SELECT * from restaurant where count > 200 and count < 40000;
|
||||
-- Results After Sorting
|
||||
+-------+--------+--------------------------------+-----------+
|
||||
|
|
@ -168,9 +168,9 @@
|
|||
+-------+--------+--------------------------------+-----------+
|
||||
-- SQL: EXPLAIN SELECT * from restaurant where count > 200 and count < 40000;
|
||||
-- Results After Normalizing UUIDs
|
||||
+---------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
+---------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
| plan_type | plan |
|
||||
+---------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
+---------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
| logical_plan | Projection: restaurant.count, restaurant.system, restaurant.time, restaurant.town |
|
||||
| | Filter: restaurant.count > UInt64(200) AND restaurant.count < UInt64(40000) |
|
||||
| | TableScan: restaurant projection=[count, system, time, town], partial_filters=[restaurant.count > UInt64(200), restaurant.count < UInt64(40000)] |
|
||||
|
|
@ -178,9 +178,9 @@
|
|||
| | CoalesceBatchesExec: target_batch_size=4096 |
|
||||
| | FilterExec: count@0 > 200 AND count@0 < 40000 |
|
||||
| | RepartitionExec: partitioning=RoundRobinBatch(4) |
|
||||
| | ParquetExec: limit=None, partitions=[1/1/1/1/00000000-0000-0000-0000-000000000000.parquet], predicate=count_max@0 > 200 AND count_min@1 < 40000, projection=[count, system, time, town] |
|
||||
| | ParquetExec: limit=None, partitions=[1/1/1/1/00000000-0000-0000-0000-000000000000.parquet], predicate=count > UInt64(200) AND count < UInt64(40000), pruning_predicate=count_max@0 > 200 AND count_min@1 < 40000, projection=[count, system, time, town] |
|
||||
| | |
|
||||
+---------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
+---------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
-- SQL: SELECT * from restaurant where system > 4.0 and system < 7.0;
|
||||
-- Results After Sorting
|
||||
+-------+--------+--------------------------------+-----------+
|
||||
|
|
@ -195,9 +195,9 @@
|
|||
+-------+--------+--------------------------------+-----------+
|
||||
-- SQL: EXPLAIN SELECT * from restaurant where system > 4.0 and system < 7.0;
|
||||
-- Results After Normalizing UUIDs
|
||||
+---------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
+---------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
| plan_type | plan |
|
||||
+---------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
+---------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
| logical_plan | Projection: restaurant.count, restaurant.system, restaurant.time, restaurant.town |
|
||||
| | Filter: restaurant.system > Float64(4) AND restaurant.system < Float64(7) |
|
||||
| | TableScan: restaurant projection=[count, system, time, town], partial_filters=[restaurant.system > Float64(4), restaurant.system < Float64(7)] |
|
||||
|
|
@ -205,9 +205,9 @@
|
|||
| | CoalesceBatchesExec: target_batch_size=4096 |
|
||||
| | FilterExec: system@1 > 4 AND system@1 < 7 |
|
||||
| | RepartitionExec: partitioning=RoundRobinBatch(4) |
|
||||
| | ParquetExec: limit=None, partitions=[1/1/1/1/00000000-0000-0000-0000-000000000000.parquet], predicate=system_max@0 > 4 AND system_min@1 < 7, projection=[count, system, time, town] |
|
||||
| | ParquetExec: limit=None, partitions=[1/1/1/1/00000000-0000-0000-0000-000000000000.parquet], predicate=system > Float64(4) AND system < Float64(7), pruning_predicate=system_max@0 > 4 AND system_min@1 < 7, projection=[count, system, time, town] |
|
||||
| | |
|
||||
+---------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
+---------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
-- SQL: SELECT * from restaurant where system > 5.0 and system < 7.0;
|
||||
-- Results After Sorting
|
||||
+-------+--------+--------------------------------+----------+
|
||||
|
|
@ -219,9 +219,9 @@
|
|||
+-------+--------+--------------------------------+----------+
|
||||
-- SQL: EXPLAIN SELECT * from restaurant where system > 5.0 and system < 7.0;
|
||||
-- Results After Normalizing UUIDs
|
||||
+---------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
+---------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
| plan_type | plan |
|
||||
+---------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
+---------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
| logical_plan | Projection: restaurant.count, restaurant.system, restaurant.time, restaurant.town |
|
||||
| | Filter: restaurant.system > Float64(5) AND restaurant.system < Float64(7) |
|
||||
| | TableScan: restaurant projection=[count, system, time, town], partial_filters=[restaurant.system > Float64(5), restaurant.system < Float64(7)] |
|
||||
|
|
@ -229,9 +229,9 @@
|
|||
| | CoalesceBatchesExec: target_batch_size=4096 |
|
||||
| | FilterExec: system@1 > 5 AND system@1 < 7 |
|
||||
| | RepartitionExec: partitioning=RoundRobinBatch(4) |
|
||||
| | ParquetExec: limit=None, partitions=[1/1/1/1/00000000-0000-0000-0000-000000000000.parquet], predicate=system_max@0 > 5 AND system_min@1 < 7, projection=[count, system, time, town] |
|
||||
| | ParquetExec: limit=None, partitions=[1/1/1/1/00000000-0000-0000-0000-000000000000.parquet], predicate=system > Float64(5) AND system < Float64(7), pruning_predicate=system_max@0 > 5 AND system_min@1 < 7, projection=[count, system, time, town] |
|
||||
| | |
|
||||
+---------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
+---------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
-- SQL: SELECT * from restaurant where system > 5.0 and town != 'tewsbury' and 7.0 > system;
|
||||
-- Results After Sorting
|
||||
+-------+--------+--------------------------------+----------+
|
||||
|
|
@ -242,9 +242,9 @@
|
|||
+-------+--------+--------------------------------+----------+
|
||||
-- SQL: EXPLAIN SELECT * from restaurant where system > 5.0 and town != 'tewsbury' and 7.0 > system;
|
||||
-- Results After Normalizing UUIDs
|
||||
+---------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
+---------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
| plan_type | plan |
|
||||
+---------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
+---------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
| logical_plan | Projection: restaurant.count, restaurant.system, restaurant.time, restaurant.town |
|
||||
| | Filter: restaurant.system > Float64(5) AND restaurant.town != Dictionary(Int32, Utf8("tewsbury")) AND Float64(7) > restaurant.system |
|
||||
| | TableScan: restaurant projection=[count, system, time, town], partial_filters=[restaurant.system > Float64(5), restaurant.town != Dictionary(Int32, Utf8("tewsbury")), Float64(7) > restaurant.system] |
|
||||
|
|
@ -252,9 +252,9 @@
|
|||
| | CoalesceBatchesExec: target_batch_size=4096 |
|
||||
| | FilterExec: system@1 > 5 AND town@3 != tewsbury AND 7 > system@1 |
|
||||
| | RepartitionExec: partitioning=RoundRobinBatch(4) |
|
||||
| | ParquetExec: limit=None, partitions=[1/1/1/1/00000000-0000-0000-0000-000000000000.parquet], predicate=system_max@0 > 5 AND town_min@1 != tewsbury OR tewsbury != town_max@2 AND system_min@3 < 7, projection=[count, system, time, town] |
|
||||
| | ParquetExec: limit=None, partitions=[1/1/1/1/00000000-0000-0000-0000-000000000000.parquet], predicate=system > Float64(5) AND town != Dictionary(Int32, Utf8("tewsbury")) AND Float64(7) > system, pruning_predicate=system_max@0 > 5 AND town_min@1 != tewsbury OR tewsbury != town_max@2 AND system_min@3 < 7, projection=[count, system, time, town] |
|
||||
| | |
|
||||
+---------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
+---------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
-- SQL: SELECT * from restaurant where system > 5.0 and 'tewsbury' != town and system < 7.0 and (count = 632 or town = 'reading');
|
||||
-- Results After Sorting
|
||||
+-------+--------+--------------------------------+---------+
|
||||
|
|
@ -264,9 +264,9 @@
|
|||
+-------+--------+--------------------------------+---------+
|
||||
-- SQL: EXPLAIN SELECT * from restaurant where system > 5.0 and 'tewsbury' != town and system < 7.0 and (count = 632 or town = 'reading');
|
||||
-- Results After Normalizing UUIDs
|
||||
+---------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
+---------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
| plan_type | plan |
|
||||
+---------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
+---------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
| logical_plan | Projection: restaurant.count, restaurant.system, restaurant.time, restaurant.town |
|
||||
| | Filter: restaurant.system > Float64(5) AND Dictionary(Int32, Utf8("tewsbury")) != restaurant.town AND restaurant.system < Float64(7) AND (restaurant.count = UInt64(632) OR restaurant.town = Dictionary(Int32, Utf8("reading"))) |
|
||||
| | TableScan: restaurant projection=[count, system, time, town], partial_filters=[restaurant.system > Float64(5), Dictionary(Int32, Utf8("tewsbury")) != restaurant.town, restaurant.system < Float64(7), restaurant.count = UInt64(632) OR restaurant.town = Dictionary(Int32, Utf8("reading"))] |
|
||||
|
|
@ -274,9 +274,9 @@
|
|||
| | CoalesceBatchesExec: target_batch_size=4096 |
|
||||
| | FilterExec: system@1 > 5 AND tewsbury != town@3 AND system@1 < 7 AND count@0 = 632 OR town@3 = reading |
|
||||
| | RepartitionExec: partitioning=RoundRobinBatch(4) |
|
||||
| | ParquetExec: limit=None, partitions=[1/1/1/1/00000000-0000-0000-0000-000000000000.parquet], predicate=system_max@0 > 5 AND town_min@1 != tewsbury OR tewsbury != town_max@2 AND system_min@3 < 7 AND count_min@4 <= 632 AND 632 <= count_max@5 OR town_min@1 <= reading AND reading <= town_max@2, projection=[count, system, time, town] |
|
||||
| | ParquetExec: limit=None, partitions=[1/1/1/1/00000000-0000-0000-0000-000000000000.parquet], predicate=system > Float64(5) AND Dictionary(Int32, Utf8("tewsbury")) != town AND system < Float64(7) AND (count = UInt64(632) OR town = Dictionary(Int32, Utf8("reading"))), pruning_predicate=system_max@0 > 5 AND town_min@1 != tewsbury OR tewsbury != town_max@2 AND system_min@3 < 7 AND count_min@4 <= 632 AND 632 <= count_max@5 OR town_min@1 <= reading AND reading <= town_max@2, projection=[count, system, time, town] |
|
||||
| | |
|
||||
+---------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
+---------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
-- SQL: SELECT * from restaurant where 5.0 < system and town != 'tewsbury' and system < 7.0 and (count = 632 or town = 'reading') and time > to_timestamp('1970-01-01T00:00:00.000000130+00:00');
|
||||
-- Results After Sorting
|
||||
++
|
||||
|
|
|
|||
|
|
@ -42,9 +42,9 @@
|
|||
+------+------+----------------------+
|
||||
-- SQL: EXPLAIN SELECT * FROM cpu WHERE host != 'b' ORDER BY host,time;
|
||||
-- Results After Normalizing UUIDs
|
||||
+---------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
+---------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
| plan_type | plan |
|
||||
+---------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
+---------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
| logical_plan | Sort: cpu.host ASC NULLS LAST, cpu.time ASC NULLS LAST |
|
||||
| | Projection: cpu.host, cpu.load, cpu.time |
|
||||
| | Filter: cpu.host != Dictionary(Int32, Utf8("b")) |
|
||||
|
|
@ -62,10 +62,10 @@
|
|||
| | CoalesceBatchesExec: target_batch_size=4096 |
|
||||
| | FilterExec: time@2 < -9223372036854775808 OR time@2 > -3600000000000 |
|
||||
| | RepartitionExec: partitioning=RoundRobinBatch(4) |
|
||||
| | ParquetExec: limit=None, partitions=[1/1/1/1/00000000-0000-0000-0000-000000000000.parquet], predicate=host_min@0 != b OR b != host_max@1, output_ordering=[host@0 ASC, time@2 ASC], projection=[host, load, time] |
|
||||
| | ParquetExec: limit=None, partitions=[1/1/1/1/00000000-0000-0000-0000-000000000000.parquet], predicate=host != Dictionary(Int32, Utf8("b")), pruning_predicate=host_min@0 != b OR b != host_max@1, output_ordering=[host@0 ASC, time@2 ASC], projection=[host, load, time] |
|
||||
| | CoalesceBatchesExec: target_batch_size=4096 |
|
||||
| | FilterExec: time@2 < -9223372036854775808 OR time@2 > -3600000000000 |
|
||||
| | RepartitionExec: partitioning=RoundRobinBatch(4) |
|
||||
| | ParquetExec: limit=None, partitions=[1/1/1/1/00000000-0000-0000-0000-000000000001.parquet], predicate=host_min@0 != b OR b != host_max@1, output_ordering=[host@0 ASC, time@2 ASC], projection=[host, load, time] |
|
||||
| | ParquetExec: limit=None, partitions=[1/1/1/1/00000000-0000-0000-0000-000000000001.parquet], predicate=host != Dictionary(Int32, Utf8("b")), pruning_predicate=host_min@0 != b OR b != host_max@1, output_ordering=[host@0 ASC, time@2 ASC], projection=[host, load, time] |
|
||||
| | |
|
||||
+---------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
+---------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
|
|
|
|||
|
|
@ -73,9 +73,9 @@
|
|||
+---------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
-- SQL: EXPLAIN SELECT * from h2o where time >= to_timestamp('1970-01-01T00:00:00.000000250+00:00');
|
||||
-- Results After Normalizing UUIDs
|
||||
+---------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
+---------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
| plan_type | plan |
|
||||
+---------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
+---------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
| logical_plan | Projection: h2o.city, h2o.other_temp, h2o.state, h2o.temp, h2o.time |
|
||||
| | Filter: h2o.time >= TimestampNanosecond(250, None) |
|
||||
| | TableScan: h2o projection=[city, other_temp, state, temp, time], partial_filters=[h2o.time >= TimestampNanosecond(250, None)] |
|
||||
|
|
@ -87,11 +87,11 @@
|
|||
| | DeduplicateExec: [city@0 ASC,state@2 ASC,time@4 ASC] |
|
||||
| | SortPreservingMergeExec: [city@0 ASC,state@2 ASC,time@4 ASC] |
|
||||
| | UnionExec |
|
||||
| | ParquetExec: limit=None, partitions=[1/1/1/1/00000000-0000-0000-0000-000000000000.parquet], predicate=time_max@0 >= 250, output_ordering=[city@0 ASC, state@2 ASC, time@4 ASC], projection=[city, other_temp, state, temp, time] |
|
||||
| | ParquetExec: limit=None, partitions=[1/1/1/1/00000000-0000-0000-0000-000000000001.parquet], predicate=time_max@0 >= 250, output_ordering=[city@0 ASC, state@2 ASC, time@4 ASC], projection=[city, other_temp, state, temp, time] |
|
||||
| | ParquetExec: limit=None, partitions=[1/1/1/1/00000000-0000-0000-0000-000000000000.parquet], predicate=time >= TimestampNanosecond(250, None), pruning_predicate=time_max@0 >= 250, output_ordering=[city@0 ASC, state@2 ASC, time@4 ASC], projection=[city, other_temp, state, temp, time] |
|
||||
| | ParquetExec: limit=None, partitions=[1/1/1/1/00000000-0000-0000-0000-000000000001.parquet], predicate=time >= TimestampNanosecond(250, None), pruning_predicate=time_max@0 >= 250, output_ordering=[city@0 ASC, state@2 ASC, time@4 ASC], projection=[city, other_temp, state, temp, time] |
|
||||
| | DeduplicateExec: [city@0 ASC,state@2 ASC,time@4 ASC] |
|
||||
| | SortExec: [city@0 ASC,state@2 ASC,time@4 ASC] |
|
||||
| | RecordBatchesExec: batches_groups=1 batches=1 |
|
||||
| | ParquetExec: limit=None, partitions=[1/1/1/1/00000000-0000-0000-0000-000000000002.parquet], predicate=time_max@0 >= 250, projection=[city, other_temp, state, temp, time] |
|
||||
| | ParquetExec: limit=None, partitions=[1/1/1/1/00000000-0000-0000-0000-000000000002.parquet], predicate=time >= TimestampNanosecond(250, None), pruning_predicate=time_max@0 >= 250, projection=[city, other_temp, state, temp, time] |
|
||||
| | |
|
||||
+---------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
+---------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|
||||
|
|
|
|||
|
|
@ -16,8 +16,7 @@ license.workspace = true
|
|||
|
||||
### BEGIN HAKARI SECTION
|
||||
[dependencies]
|
||||
ahash-ca01ad9e24f5d932 = { package = "ahash", version = "0.7", features = ["std"] }
|
||||
ahash-c38e5c1d305a1b54 = { package = "ahash", version = "0.8", default-features = false, features = ["compile-time-rng", "const-random", "getrandom", "runtime-rng"] }
|
||||
ahash = { version = "0.8", default-features = false, features = ["compile-time-rng", "const-random", "getrandom", "runtime-rng"] }
|
||||
arrow = { version = "27", features = ["arrow-csv", "arrow-ipc", "arrow-json", "comfy-table", "csv", "dyn_cmp_dict", "ipc", "json", "prettyprint"] }
|
||||
base64 = { version = "0.13", features = ["std"] }
|
||||
bitflags = { version = "1" }
|
||||
|
|
@ -26,11 +25,12 @@ bytes = { version = "1", features = ["std"] }
|
|||
chrono = { version = "0.4", default-features = false, features = ["alloc", "clock", "iana-time-zone", "serde", "std", "winapi"] }
|
||||
crossbeam-utils = { version = "0.8", features = ["std"] }
|
||||
crypto-common = { version = "0.1", default-features = false, features = ["std"] }
|
||||
datafusion = { git = "https://github.com/apache/arrow-datafusion.git", rev = "ebb24c5bf46f2af362aebffba2012875b328e799", features = ["crypto_expressions", "regex_expressions", "unicode_expressions"] }
|
||||
datafusion = { git = "https://github.com/apache/arrow-datafusion.git", rev = "a61615b2949bea9027eefe686613605e135780f2", features = ["async-compression", "bzip2", "compression", "crypto_expressions", "flate2", "regex_expressions", "unicode_expressions", "xz2"] }
|
||||
digest = { version = "0.10", features = ["alloc", "block-buffer", "core-api", "mac", "std", "subtle"] }
|
||||
either = { version = "1", features = ["use_std"] }
|
||||
fixedbitset = { version = "0.4", features = ["std"] }
|
||||
flatbuffers = { version = "22", features = ["thiserror"] }
|
||||
flate2 = { version = "1", features = ["miniz_oxide", "rust_backend"] }
|
||||
futures-channel = { version = "0.3", features = ["alloc", "futures-sink", "sink", "std"] }
|
||||
futures-core = { version = "0.3", features = ["alloc", "std"] }
|
||||
futures-io = { version = "0.3", features = ["std"] }
|
||||
|
|
@ -39,7 +39,7 @@ futures-task = { version = "0.3", default-features = false, features = ["alloc",
|
|||
futures-util = { version = "0.3", features = ["alloc", "async-await", "async-await-macro", "channel", "futures-channel", "futures-io", "futures-macro", "futures-sink", "io", "memchr", "sink", "slab", "std"] }
|
||||
getrandom = { version = "0.2", default-features = false, features = ["std"] }
|
||||
hashbrown-5ef9efb8ec2df382 = { package = "hashbrown", version = "0.12", features = ["ahash", "inline-more", "raw"] }
|
||||
hashbrown-594e8ee84c453af0 = { package = "hashbrown", version = "0.13", features = ["ahash", "inline-more"] }
|
||||
hashbrown-594e8ee84c453af0 = { package = "hashbrown", version = "0.13", features = ["ahash", "inline-more", "raw"] }
|
||||
indexmap = { version = "1", default-features = false, features = ["std"] }
|
||||
libc = { version = "0.2", features = ["extra_traits", "std"] }
|
||||
lock_api = { version = "0.4", default-features = false, features = ["arc_lock"] }
|
||||
|
|
@ -87,7 +87,6 @@ zstd-safe = { version = "5", default-features = false, features = ["arrays", "le
|
|||
zstd-sys = { version = "2", default-features = false, features = ["legacy", "std", "zdict_builder"] }
|
||||
|
||||
[build-dependencies]
|
||||
ahash-ca01ad9e24f5d932 = { package = "ahash", version = "0.7", features = ["std"] }
|
||||
base64 = { version = "0.13", features = ["std"] }
|
||||
bitflags = { version = "1" }
|
||||
byteorder = { version = "1", features = ["std"] }
|
||||
|
|
|
|||
Loading…
Reference in New Issue