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Utilise struct stats when available #656

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Jul 6, 2022
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e8be31b
Log stats
Tom-Newton Jun 19, 2022
89a25ae
Point unittest to problematic data
Tom-Newton Jun 19, 2022
1f2f023
Add minimal test data to reproduce
Tom-Newton Jun 20, 2022
c1c17b5
Update test data
Tom-Newton Jun 20, 2022
96b508b
Fix test data
Tom-Newton Jun 20, 2022
0c38cc8
Add test
Tom-Newton Jun 20, 2022
e37486f
Update rust logging
Tom-Newton Jun 20, 2022
a482b84
It actually compiles!
Tom-Newton Jun 22, 2022
7eb031c
I don't understand rust
Tom-Newton Jun 22, 2022
9af132a
Debug logging
Tom-Newton Jun 22, 2022
a5172e4
Fix sample data
Tom-Newton Jun 22, 2022
d5bf0da
Tidy
Tom-Newton Jun 22, 2022
514c7cd
Update rust/src/action.rs
Tom-Newton Jun 23, 2022
e3a3be1
Test data with more complex types
Tom-Newton Jun 23, 2022
1a78ccd
Still return json stats if there is an error parsing parquet stats
Tom-Newton Jun 23, 2022
5af9a3a
Better error message
Tom-Newton Jun 23, 2022
eba1a1d
Unittest covering more complex types
Tom-Newton Jun 23, 2022
94a007b
Support parsing structs
Tom-Newton Jun 24, 2022
46098e7
Compare struct comes out the same as json
Tom-Newton Jun 24, 2022
183d131
Correct timestamp formatting
Tom-Newton Jun 24, 2022
957c8b5
In progress better test and support for more columns
Tom-Newton Jun 26, 2022
c145585
All types except decimal work
Tom-Newton Jun 26, 2022
bee0d15
Test data with nested structs
Tom-Newton Jun 26, 2022
bc8128a
Update test
Tom-Newton Jun 26, 2022
c2887d9
All workng except decimal
Tom-Newton Jun 26, 2022
f82b6c9
Working decimal conversion
Tom-Newton Jun 26, 2022
2d3865c
Update test data again
Tom-Newton Jun 26, 2022
8e5efac
Passing test
Tom-Newton Jun 26, 2022
5b006f1
Tidy
Tom-Newton Jun 26, 2022
33a02c5
Tidy
Tom-Newton Jun 26, 2022
9bea24a
Tidy
Tom-Newton Jun 26, 2022
352e3d5
Remove .crc files
Tom-Newton Jun 26, 2022
0441169
Merge remote-tracking branch 'upstream2/main' into tomnewton/utilise_…
Tom-Newton Jun 26, 2022
8d9ca72
Remove unneeded return statements
Tom-Newton Jun 26, 2022
9ff8219
Remove python test
Tom-Newton Jun 26, 2022
a1571e6
Use from and reference instead of clone
Tom-Newton Jun 27, 2022
5e845cc
Use into
Tom-Newton Jun 27, 2022
a2c5733
dereferance timestamp
Tom-Newton Jun 27, 2022
70f8cee
use into
Tom-Newton Jun 27, 2022
da132ee
Use reference to field
Tom-Newton Jun 27, 2022
d0d8d5f
de-reference date
Tom-Newton Jun 27, 2022
270b027
Update rust/tests/read_delta_test.rs
Tom-Newton Jun 27, 2022
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2 changes: 2 additions & 0 deletions Cargo.lock

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2 changes: 2 additions & 0 deletions rust/Cargo.toml
Original file line number Diff line number Diff line change
Expand Up @@ -24,6 +24,8 @@ chrono = "0"
uuid = { version = "1", features = ["serde", "v4"] }
lazy_static = "1"
percent-encoding = "2"
num-bigint = "0.4"
num-traits = "0.2.15"

# HTTP Client
reqwest = { version = "0.11", default-features = false, features = [
Expand Down
86 changes: 77 additions & 9 deletions rust/src/action.rs
Original file line number Diff line number Diff line change
Expand Up @@ -3,10 +3,13 @@
#![allow(non_camel_case_types)]

use crate::{schema::*, DeltaTableMetaData};
use parquet::record::{ListAccessor, MapAccessor, RowAccessor};
use chrono::{SecondsFormat, TimeZone, Utc};
use num_bigint::BigInt;
use num_traits::cast::ToPrimitive;
use parquet::record::{Field, ListAccessor, MapAccessor, RowAccessor};
use percent_encoding::percent_decode;
use serde::{Deserialize, Serialize};
use serde_json::{Map, Value};
use serde_json::{json, Map, Value};
use std::borrow::Borrow;
use std::collections::HashMap;
use std::hash::{Hash, Hasher};
Expand Down Expand Up @@ -114,7 +117,7 @@ impl ColumnCountStat {
}

/// Statistics associated with Add actions contained in the Delta log.
#[derive(Serialize, Deserialize, Debug, Default)]
#[derive(Serialize, Deserialize, Debug, Default, PartialEq, Eq)]
#[serde(rename_all = "camelCase")]
pub struct Stats {
/// Number of records in the file associated with the log action.
Expand Down Expand Up @@ -288,19 +291,34 @@ impl Add {
decode_path(&self.path).map(|path| Self { path, ..self })
}

/// Get whatever stats are available. Uses (parquet struct) parsed_stats if present falling back to json stats.
pub fn get_stats(&self) -> Result<Option<Stats>, serde_json::error::Error> {
match self.get_stats_parsed() {
Ok(Some(stats)) => Ok(Some(stats)),
Ok(None) => self.get_json_stats(),
Err(e) => {
log::error!(
"Error when reading parquet stats {:?} {e}. Attempting to read json stats",
self.stats_parsed
);
self.get_json_stats()
}
}
}

/// Returns the serde_json representation of stats contained in the action if present.
/// Since stats are defined as optional in the protocol, this may be None.
pub fn get_stats(&self) -> Result<Option<Stats>, serde_json::error::Error> {
pub fn get_json_stats(&self) -> Result<Option<Stats>, serde_json::error::Error> {
self.stats
.as_ref()
.map_or(Ok(None), |s| serde_json::from_str(s))
}

/// Returns the composite HashMap representation of stats contained in the action if present.
/// Since stats are defined as optional in the protocol, this may be None.
pub fn get_stats_parsed(&self) -> Result<Option<StatsParsed>, parquet::errors::ParquetError> {
pub fn get_stats_parsed(&self) -> Result<Option<Stats>, parquet::errors::ParquetError> {
self.stats_parsed.as_ref().map_or(Ok(None), |record| {
let mut stats = StatsParsed::default();
let mut stats = Stats::default();

for (i, (name, _)) in record.get_column_iter().enumerate() {
match name.as_str() {
Expand All @@ -315,7 +333,7 @@ impl Add {
"minValues" => match record.get_group(i) {
Ok(row) => {
for (name, field) in row.get_column_iter() {
stats.min_values.insert(name.clone(), field.clone());
stats.min_values.insert(name.clone(), field.into());
}
}
_ => {
Expand All @@ -325,7 +343,7 @@ impl Add {
"maxValues" => match record.get_group(i) {
Ok(row) => {
for (name, field) in row.get_column_iter() {
stats.max_values.insert(name.clone(), field.clone());
stats.max_values.insert(name.clone(), field.into());
}
}
_ => {
Expand All @@ -337,7 +355,7 @@ impl Add {
for (i, (name, _)) in row.get_column_iter().enumerate() {
match row.get_long(i) {
Ok(v) => {
stats.null_count.insert(name.clone(), v);
stats.null_count.insert(name.clone(), ColumnCountStat::Value(v));
}
_ => {
log::error!("Expect type of stats_parsed.nullRecords value to be struct, got: {}", row);
Expand All @@ -364,6 +382,56 @@ impl Add {
}
}

impl From<&Field> for ColumnValueStat {
fn from(field: &Field) -> Self {
match field {
Field::Group(group) => ColumnValueStat::Column(HashMap::from_iter(
group
.get_column_iter()
.map(|(field_name, field)| (field_name.clone(), field.into())),
)),
_ => ColumnValueStat::Value(primitive_parquet_field_to_json_value(field)),
}
}
}

fn primitive_parquet_field_to_json_value(field: &Field) -> serde_json::Value {
match field {
Field::Null => serde_json::Value::Null,
Field::Bool(value) => json!(value),
Field::Byte(value) => json!(value),
Field::Short(value) => json!(value),
Field::Int(value) => json!(value),
Field::Long(value) => json!(value),
Field::Float(value) => json!(value),
Field::Double(value) => json!(value),
Field::Str(value) => json!(value),
Field::Decimal(decimal) => match BigInt::from_signed_bytes_be(decimal.data()).to_f64() {
Some(int) => json!(int / (10_i64.pow((decimal.scale()).try_into().unwrap()) as f64)),
_ => serde_json::Value::Null,
},
Comment on lines +409 to +412
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So on the decimal representation, it does seem to be the case that the Spark implementation writes them out as numbers in the JSON file. I can't find the implementation code, but it does seem like they have a special parser that handles decimals. We don't so I'm worried about having a lossy conversion of Decimal into float.

It's a complicated subject and sort of an edge case, so I'm fine with this for now, but we should do a follow-up to make sure we are using decimal statistics appropriately.

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Yeah I was a bit concerned about this too. I'm tempted to just remove it since that is probably a safer option.

Field::TimestampMillis(timestamp) => {
serde_json::Value::String(convert_timestamp_millis_to_string(*timestamp))
}
Field::Date(date) => serde_json::Value::String(convert_date_to_string(*date)),
_ => {
log::warn!("Unexpected field type {:?}", field,);
serde_json::Value::Null
}
}
}

fn convert_timestamp_millis_to_string(value: u64) -> String {
let dt = Utc.timestamp((value / 1000) as i64, ((value % 1000) * 1000000) as u32);
dt.to_rfc3339_opts(SecondsFormat::Millis, true)
}

fn convert_date_to_string(value: u32) -> String {
static NUM_SECONDS_IN_DAY: i64 = 60 * 60 * 24;
let dt = Utc.timestamp(value as i64 * NUM_SECONDS_IN_DAY, 0).date();
format!("{}", dt.format("%Y-%m-%d"))
}

/// Describes the data format of files in the table.
#[derive(Serialize, Deserialize, Debug, Clone, PartialEq)]
pub struct Format {
Expand Down
Original file line number Diff line number Diff line change
@@ -0,0 +1,3 @@
{"protocol":{"minReaderVersion":1,"minWriterVersion":2}}
{"metaData":{"id":"9c4df48c-6085-4dcf-b73e-13147a5a405e","format":{"provider":"parquet","options":{}},"schemaString":"{\"type\":\"struct\",\"fields\":[{\"name\":\"integer\",\"type\":\"integer\",\"nullable\":false,\"metadata\":{}}]}","partitionColumns":[],"configuration":{"delta.checkpoint.writeStatsAsJson":"false","delta.checkpoint.writeStatsAsStruct":"true"},"createdTime":1656252116073}}
{"commitInfo":{"timestamp":1656252116149,"userId":"6114986638742036","userName":"[email protected]","operation":"CREATE OR REPLACE TABLE","operationParameters":{"isManaged":"false","description":null,"partitionBy":"[]","properties":"{\"delta.checkpoint.writeStatsAsJson\":\"false\",\"delta.checkpoint.writeStatsAsStruct\":\"true\"}"},"notebook":{"notebookId":"1829280694121074"},"clusterId":"0622-151429-s7rz8ws","isolationLevel":"WriteSerializable","isBlindAppend":true,"operationMetrics":{},"engineInfo":"Databricks-Runtime/10.4.x-scala2.12","txnId":"af1b716b-5ec8-41f6-9cc2-bb89e010f943"}}
Original file line number Diff line number Diff line change
@@ -0,0 +1,3 @@
{"metaData":{"id":"9c4df48c-6085-4dcf-b73e-13147a5a405e","format":{"provider":"parquet","options":{}},"schemaString":"{\"type\":\"struct\",\"fields\":[{\"name\":\"integer\",\"type\":\"integer\",\"nullable\":false,\"metadata\":{}},{\"name\":\"null\",\"type\":\"boolean\",\"nullable\":true,\"metadata\":{}},{\"name\":\"boolean\",\"type\":\"boolean\",\"nullable\":true,\"metadata\":{}},{\"name\":\"double\",\"type\":\"double\",\"nullable\":true,\"metadata\":{}},{\"name\":\"decimal\",\"type\":\"decimal(8,5)\",\"nullable\":true,\"metadata\":{}},{\"name\":\"string\",\"type\":\"string\",\"nullable\":true,\"metadata\":{}},{\"name\":\"binary\",\"type\":\"binary\",\"nullable\":true,\"metadata\":{}},{\"name\":\"date\",\"type\":\"date\",\"nullable\":true,\"metadata\":{}},{\"name\":\"timestamp\",\"type\":\"timestamp\",\"nullable\":true,\"metadata\":{}},{\"name\":\"struct\",\"type\":{\"type\":\"struct\",\"fields\":[{\"name\":\"struct_element\",\"type\":\"string\",\"nullable\":true,\"metadata\":{}}]},\"nullable\":true,\"metadata\":{}},{\"name\":\"map\",\"type\":{\"type\":\"map\",\"keyType\":\"string\",\"valueType\":\"string\",\"valueContainsNull\":true},\"nullable\":true,\"metadata\":{}},{\"name\":\"array\",\"type\":{\"type\":\"array\",\"elementType\":\"string\",\"containsNull\":true},\"nullable\":true,\"metadata\":{}},{\"name\":\"nested_struct\",\"type\":{\"type\":\"struct\",\"fields\":[{\"name\":\"struct_element\",\"type\":{\"type\":\"struct\",\"fields\":[{\"name\":\"nested_struct_element\",\"type\":\"string\",\"nullable\":true,\"metadata\":{}}]},\"nullable\":true,\"metadata\":{}}]},\"nullable\":true,\"metadata\":{}},{\"name\":\"struct_of_array_of_map\",\"type\":{\"type\":\"struct\",\"fields\":[{\"name\":\"struct_element\",\"type\":{\"type\":\"array\",\"elementType\":{\"type\":\"map\",\"keyType\":\"string\",\"valueType\":\"string\",\"valueContainsNull\":true},\"containsNull\":true},\"nullable\":true,\"metadata\":{}}]},\"nullable\":true,\"metadata\":{}}]}","partitionColumns":[],"configuration":{"delta.checkpoint.writeStatsAsJson":"false","delta.checkpoint.writeStatsAsStruct":"true"},"createdTime":1656252116073}}
{"add":{"path":"part-00000-51653f4d-b029-44bd-9fda-578e73518a26-c000.snappy.parquet","partitionValues":{},"size":5489,"modificationTime":1656252122000,"dataChange":true,"stats":"{\"numRecords\":1,\"minValues\":{\"integer\":0,\"double\":1.234,\"decimal\":-5.67800,\"string\":\"string\",\"date\":\"2022-06-26\",\"timestamp\":\"2022-06-26T14:02:01.678Z\",\"struct\":{\"struct_element\":\"struct_value\"},\"nested_struct\":{\"struct_element\":{\"nested_struct_element\":\"nested_struct_value\"}}},\"maxValues\":{\"integer\":0,\"double\":1.234,\"decimal\":-5.67800,\"string\":\"string\",\"date\":\"2022-06-26\",\"timestamp\":\"2022-06-26T14:02:01.678Z\",\"struct\":{\"struct_element\":\"struct_value\"},\"nested_struct\":{\"struct_element\":{\"nested_struct_element\":\"nested_struct_value\"}}},\"nullCount\":{\"integer\":0,\"null\":1,\"boolean\":0,\"double\":0,\"decimal\":0,\"string\":0,\"binary\":0,\"date\":0,\"timestamp\":0,\"struct\":{\"struct_element\":0},\"map\":0,\"array\":0,\"nested_struct\":{\"struct_element\":{\"nested_struct_element\":0}},\"struct_of_array_of_map\":{\"struct_element\":0}}}","tags":{"INSERTION_TIME":"1656252122000000","OPTIMIZE_TARGET_SIZE":"268435456"}}}
{"commitInfo":{"timestamp":1656252122901,"userId":"6114986638742036","userName":"[email protected]","operation":"WRITE","operationParameters":{"mode":"Append","partitionBy":"[]"},"notebook":{"notebookId":"1829280694121074"},"clusterId":"0622-151429-s7rz8ws","readVersion":0,"isolationLevel":"WriteSerializable","isBlindAppend":true,"operationMetrics":{"numFiles":"1","numOutputRows":"1","numOutputBytes":"5489"},"engineInfo":"Databricks-Runtime/10.4.x-scala2.12","txnId":"4398d2b8-9a41-46ea-b92c-38820595bfec"}}
Original file line number Diff line number Diff line change
@@ -0,0 +1,2 @@
{"add":{"path":"part-00000-a222e75a-a0b4-4e72-a776-2776ece95606-c000.snappy.parquet","partitionValues":{},"size":5489,"modificationTime":1656252124000,"dataChange":true,"stats":"{\"numRecords\":1,\"minValues\":{\"integer\":1,\"double\":1.234,\"decimal\":-5.67800,\"string\":\"string\",\"date\":\"2022-06-26\",\"timestamp\":\"2022-06-26T14:02:03.793Z\",\"struct\":{\"struct_element\":\"struct_value\"},\"nested_struct\":{\"struct_element\":{\"nested_struct_element\":\"nested_struct_value\"}}},\"maxValues\":{\"integer\":1,\"double\":1.234,\"decimal\":-5.67800,\"string\":\"string\",\"date\":\"2022-06-26\",\"timestamp\":\"2022-06-26T14:02:03.793Z\",\"struct\":{\"struct_element\":\"struct_value\"},\"nested_struct\":{\"struct_element\":{\"nested_struct_element\":\"nested_struct_value\"}}},\"nullCount\":{\"integer\":0,\"null\":1,\"boolean\":0,\"double\":0,\"decimal\":0,\"string\":0,\"binary\":0,\"date\":0,\"timestamp\":0,\"struct\":{\"struct_element\":0},\"map\":0,\"array\":0,\"nested_struct\":{\"struct_element\":{\"nested_struct_element\":0}},\"struct_of_array_of_map\":{\"struct_element\":0}}}","tags":{"INSERTION_TIME":"1656252124000000","OPTIMIZE_TARGET_SIZE":"268435456"}}}
{"commitInfo":{"timestamp":1656252124212,"userId":"6114986638742036","userName":"[email protected]","operation":"WRITE","operationParameters":{"mode":"Append","partitionBy":"[]"},"notebook":{"notebookId":"1829280694121074"},"clusterId":"0622-151429-s7rz8ws","readVersion":1,"isolationLevel":"WriteSerializable","isBlindAppend":true,"operationMetrics":{"numFiles":"1","numOutputRows":"1","numOutputBytes":"5489"},"engineInfo":"Databricks-Runtime/10.4.x-scala2.12","txnId":"26079ba4-cd65-4421-9bd3-ba0416dfb509"}}
Original file line number Diff line number Diff line change
@@ -0,0 +1,2 @@
{"add":{"path":"part-00000-b97608c1-8d8e-4369-b067-bd84435a1606-c000.snappy.parquet","partitionValues":{},"size":5489,"modificationTime":1656252125000,"dataChange":true,"stats":"{\"numRecords\":1,\"minValues\":{\"integer\":2,\"double\":1.234,\"decimal\":-5.67800,\"string\":\"string\",\"date\":\"2022-06-26\",\"timestamp\":\"2022-06-26T14:02:05.077Z\",\"struct\":{\"struct_element\":\"struct_value\"},\"nested_struct\":{\"struct_element\":{\"nested_struct_element\":\"nested_struct_value\"}}},\"maxValues\":{\"integer\":2,\"double\":1.234,\"decimal\":-5.67800,\"string\":\"string\",\"date\":\"2022-06-26\",\"timestamp\":\"2022-06-26T14:02:05.077Z\",\"struct\":{\"struct_element\":\"struct_value\"},\"nested_struct\":{\"struct_element\":{\"nested_struct_element\":\"nested_struct_value\"}}},\"nullCount\":{\"integer\":0,\"null\":1,\"boolean\":0,\"double\":0,\"decimal\":0,\"string\":0,\"binary\":0,\"date\":0,\"timestamp\":0,\"struct\":{\"struct_element\":0},\"map\":0,\"array\":0,\"nested_struct\":{\"struct_element\":{\"nested_struct_element\":0}},\"struct_of_array_of_map\":{\"struct_element\":0}}}","tags":{"INSERTION_TIME":"1656252125000000","OPTIMIZE_TARGET_SIZE":"268435456"}}}
{"commitInfo":{"timestamp":1656252125457,"userId":"6114986638742036","userName":"[email protected]","operation":"WRITE","operationParameters":{"mode":"Append","partitionBy":"[]"},"notebook":{"notebookId":"1829280694121074"},"clusterId":"0622-151429-s7rz8ws","readVersion":2,"isolationLevel":"WriteSerializable","isBlindAppend":true,"operationMetrics":{"numFiles":"1","numOutputRows":"1","numOutputBytes":"5489"},"engineInfo":"Databricks-Runtime/10.4.x-scala2.12","txnId":"c2a690f3-3bb7-4dc2-b00e-cd81382e8b21"}}
Original file line number Diff line number Diff line change
@@ -0,0 +1,2 @@
{"add":{"path":"part-00000-7c59d077-8928-4402-b5e6-7259f5440fd0-c000.snappy.parquet","partitionValues":{},"size":5489,"modificationTime":1656252126000,"dataChange":true,"stats":"{\"numRecords\":1,\"minValues\":{\"integer\":3,\"double\":1.234,\"decimal\":-5.67800,\"string\":\"string\",\"date\":\"2022-06-26\",\"timestamp\":\"2022-06-26T14:02:06.242Z\",\"struct\":{\"struct_element\":\"struct_value\"},\"nested_struct\":{\"struct_element\":{\"nested_struct_element\":\"nested_struct_value\"}}},\"maxValues\":{\"integer\":3,\"double\":1.234,\"decimal\":-5.67800,\"string\":\"string\",\"date\":\"2022-06-26\",\"timestamp\":\"2022-06-26T14:02:06.242Z\",\"struct\":{\"struct_element\":\"struct_value\"},\"nested_struct\":{\"struct_element\":{\"nested_struct_element\":\"nested_struct_value\"}}},\"nullCount\":{\"integer\":0,\"null\":1,\"boolean\":0,\"double\":0,\"decimal\":0,\"string\":0,\"binary\":0,\"date\":0,\"timestamp\":0,\"struct\":{\"struct_element\":0},\"map\":0,\"array\":0,\"nested_struct\":{\"struct_element\":{\"nested_struct_element\":0}},\"struct_of_array_of_map\":{\"struct_element\":0}}}","tags":{"INSERTION_TIME":"1656252126000000","OPTIMIZE_TARGET_SIZE":"268435456"}}}
{"commitInfo":{"timestamp":1656252126676,"userId":"6114986638742036","userName":"[email protected]","operation":"WRITE","operationParameters":{"mode":"Append","partitionBy":"[]"},"notebook":{"notebookId":"1829280694121074"},"clusterId":"0622-151429-s7rz8ws","readVersion":3,"isolationLevel":"WriteSerializable","isBlindAppend":true,"operationMetrics":{"numFiles":"1","numOutputRows":"1","numOutputBytes":"5489"},"engineInfo":"Databricks-Runtime/10.4.x-scala2.12","txnId":"4522c45a-ed48-4b7d-bfc6-1bad78981261"}}
Original file line number Diff line number Diff line change
@@ -0,0 +1,2 @@
{"add":{"path":"part-00000-7264b4fa-c3d7-4e25-956f-716358f594ff-c000.snappy.parquet","partitionValues":{},"size":5489,"modificationTime":1656252127000,"dataChange":true,"stats":"{\"numRecords\":1,\"minValues\":{\"integer\":4,\"double\":1.234,\"decimal\":-5.67800,\"string\":\"string\",\"date\":\"2022-06-26\",\"timestamp\":\"2022-06-26T14:02:07.511Z\",\"struct\":{\"struct_element\":\"struct_value\"},\"nested_struct\":{\"struct_element\":{\"nested_struct_element\":\"nested_struct_value\"}}},\"maxValues\":{\"integer\":4,\"double\":1.234,\"decimal\":-5.67800,\"string\":\"string\",\"date\":\"2022-06-26\",\"timestamp\":\"2022-06-26T14:02:07.511Z\",\"struct\":{\"struct_element\":\"struct_value\"},\"nested_struct\":{\"struct_element\":{\"nested_struct_element\":\"nested_struct_value\"}}},\"nullCount\":{\"integer\":0,\"null\":1,\"boolean\":0,\"double\":0,\"decimal\":0,\"string\":0,\"binary\":0,\"date\":0,\"timestamp\":0,\"struct\":{\"struct_element\":0},\"map\":0,\"array\":0,\"nested_struct\":{\"struct_element\":{\"nested_struct_element\":0}},\"struct_of_array_of_map\":{\"struct_element\":0}}}","tags":{"INSERTION_TIME":"1656252127000000","OPTIMIZE_TARGET_SIZE":"268435456"}}}
{"commitInfo":{"timestamp":1656252127961,"userId":"6114986638742036","userName":"[email protected]","operation":"WRITE","operationParameters":{"mode":"Append","partitionBy":"[]"},"notebook":{"notebookId":"1829280694121074"},"clusterId":"0622-151429-s7rz8ws","readVersion":4,"isolationLevel":"WriteSerializable","isBlindAppend":true,"operationMetrics":{"numFiles":"1","numOutputRows":"1","numOutputBytes":"5489"},"engineInfo":"Databricks-Runtime/10.4.x-scala2.12","txnId":"f60b53dc-cb04-4e5b-a541-037c9c2cee89"}}
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